I. Overall Assessment

1. Kazakhstan subscribed to the Special Data Dissemination Standard (SDDS) on March 24, 2003 and started posting its metadata on the Dissemination Standards Bulletin Board (DSBB) on March 24, 2003. Kazakhstan is in observance of the SDDS, meeting the specifications for coverage, periodicity, timeliness, and the dissemination of advance release calendars. Kazakhstan uses a flexibility option for the periodicity and timeliness of the data on central government operations. Appendix I provides an overview of Kazakhstan’s dissemination practices compared to the SDDS.

2. The Report on the Observance of Standards and Codes (ROSC) data module covers national accounts, consumer price, producer price, government finance, monetary, and balance of payments (BOP) statistics. This report assesses these datasets against the requirements of the SDDS using the July 2003 version of the IMF’s Data Quality Assessment Framework (DQAF). It is a reassessment of the data module for Kazakhstan conducted in 2002 against the recommendations of the General Data Dissemination System (GDDS) on the basis of the July 2001 version of the DQAF. In the interval since the last assessment, practices have been strengthened in transparency, scope, source data, relevance, cross-dataset consistency, and data and metadata accessibility. The more demanding standard of the 2003 DQAF against largely unchanged practices in statistical techniques for price statistics and basis for recording for government finance statistics (GFS) lead to lower assessments in these areas than in 2002. The report contains the following main observations. Kazakhstan’s statistical system shows relative strengths in legal and institutional environment, professionalism, assessment and validation of intermediate data and outputs, and assistance to users. However, the commendably high cross-dataset consistency of the system means that a few instances of incomplete implementation of concepts in one dataset propagate to the others, and makes more critical the need for all sector datasets to adhere closely to the most recent statistical standards. Section II provides a summary assessment by agency and dataset based on a four-part scale. This is followed by staff recommendations in Section III. Practices compared to the SDDS are summarized in Appendix I. The authorities’ response to this report and a volume of detailed assessments are presented in separate documents. This is the first data ROSC whose detailed assessments (Section III) include descriptions of practices for incorporating information on oil and gas activities and products into the estimates for the covered datasets, as encouraged by the Sixth Review of the Fund’s Data Standards Initiatives of November 2005.

3. In applying the current, July 2003, version of the IMF’s DQAF, the remainder of this section presents the mission’s main conclusions. The presentation is done at the level of the DQAF’s quality dimensions, by agency for the first two dimensions and across datasets for the remaining four. Section II provides a summary assessment by agency and dataset based on a four-point rating scale. This is followed by staff recommendations in Section III. The authorities’ response to this report and a volume of detailed assessments are presented in separate documents.

4. Prerequisites of quality. The Kazakh data-producing agencies rely on a well-designed legal and institutional framework providing a solid foundation for the dataset assessed in this report. Since the 2002 data ROSC, amendments to the Law on Official Statistics in 2002 and 2004, the 2004 government regulation on the Agency of Statistics of the Republic of Kazakhstan (ASRK), and the 2005 ASRK order establishing the Public Council clearly position the ASRK as the country’s central executive statistical agency. As such, the ASRK has the leading role in coordinating the activities of other producers of official statistics, primarily through a medium-term program of statistical development and annual statistical plans that are embedded in the budgetary process. Budgeted resources are broadly commensurate with the existing statistical programs for the data categories under review.

5. In assessing quality management, the mission noted the ambitious medium-term statistical program the ASRK management has mapped and for which it has secured funding, including censuses of agriculture and population, as well as the major reorganization of headquarters functions scheduled for end-2006 through the second quarter of 2007. The reorganization includes relocation to Astana of agency and departmental management, as well as senior professionals, comprising about 30 percent of the current Almaty staff. The remaining staff of the new Astana headquarters will be recruited in part from existing ASRK staff and in part from new hires. The ASRK has received funds for the logistics of the move to Astana and management sees training of new and existing staff as a priority. At the same time, the capacity of the National Accounts Department and, to a lesser extent, the Price and Labor Statistics Department, to implement current programs is at risk from a recent and significant increase in the number of vacancies. In view of the current tight staff situation, continuity of these programs will require close attention to filling vacancies with qualified applicants and providing training for new staff.

6. All agencies maintain the relevance of their statistical outputs by soliciting and acting on user feedback. The ASRK expects to further enhance outreach to both users of and data suppliers for the national accounts through the recently established user group in the Public Council. The Ministry of Finance (MOF) could improve the relevance of its data to users by publishing breakdowns of its cash-based statistics allowing ASRK to compile accrual-based sector accounts for the general government.

7. Assurances of integrity. All agencies demonstrate professionalism and provide guidelines on ethical conduct to their staff. The MOF transparency practices could be improved by posting for users the list of the officials having pre-release access to GFS. Both the National Bank of the Republic of Kazakhstan (NBRK) and the MOF do not provide users advance notice of changes in methodology.

8. Methodological soundness. The six datasets reviewed broadly follow internationally accepted standards for concepts and definitions, classification and sectorization, and valuation basis. However, the NBRK practice of classifying subsidiaries of foreign construction and drilling companies expected to operate in Kazakhstan for more than one year as nonresidents in the BOP is not internationally standard. Also, there are currently inconsistencies between the official external debt and international investment position (IIP) statistics, the source of which is clearly identified, and which can be easily corrected. The Republic of Kazakhstan government, while retaining cash execution of the budgets, has implemented certain presentational aspects of the Government Finance Statistics Manual 2001 (GFSM 2001) methodology. With the introduction of the Budget Code of the Republic of Kazakhstan as of January 1, 2005, certain provisions of the GFSM were implemented: operations of the current fiscal year related to the recording of budget revenues and payments begin on January 1 and end on December 31 of the current calendar year, and the structure of the budget has been brought closer into line with the GFSM 2001. The scope of the MOF statements of government operations is nonstandard because they do not consolidate the National Fund of the Republic of Kazakhstan (NFRK) with central and general government. The basis for recording monetary stocks and flows is not fully consistent with the guidelines in the Monetary and Financial Statistics Manual (MFSM). However, while the general valuation of financial instruments is based on current market prices, and market exchange rates are now used to convert foreign currency accounts into domestic currency, securities held for investment purposes continue to be valued at historic or amortized cost rather than market prices. In the BOP, transfer pricing of oil exports, considered significant up until 2000, is still monitored and adjustments are made when detected, but has diminished and is currently considered a minor measurement issue.

9. Accuracy and reliability. The national accounts source data still include cumulatively reported components whose first differences are used to approximate the discrete quarterly data needed for compiling published time series. ¹ New ASRK survey sources supply discrete data for the quarterly national accounts, but the staff resource constraints noted under prerequisites of quality have slowed their full incorporation into published series. The national accounts, because they integrate source data from across the statistical system, also reflect data quality issues arising in agencies other than the ASRK. GFS are compiled by the MOF, and are incorporated into the national accounts by the ASRK, on a cash rather than accrual basis. As noted under methodological soundness, the MOF has no plans, in the immediate future, to transition the GFS to the GFSM 2001, which would implement accrual recording as well as presentations of government operations statistics consistent with national accounts concepts. Also recalling the assessment of methodological soundness, one source of the discrepancy between GDP by production and GDP by expenditure is the NBRK’s nonstandard treatment of the residency of subsidiaries of foreign construction companies in the BOP, which results in an overstatement of imports and an understatement of GDP by expenditure.

10. Serviceability. With the exception of the periodicity and timeliness of monthly central government operations, for which a flexibility option is taken, the Kazakh datasets fully conform to the periodicity and timeliness of the SDDS. In fact, Kazakhstan exceeds SDDS requirements in key areas such as GFS (general government operations monthly estimates within five weeks on a cash basis versus an SDDS requirement of annual estimates within two quarters), and the consumer price index (CPI) and producer price index (PPI) (which have a timeliness of one day versus the SDDS requirement of 30 days) and monetary statistics (which have a timeliness of 25 days versus one month for banking sector accounts, and seven days versus two weeks for central bank accounts). Since 2004, inconsistencies between monetary and IIP data on banks’ external liabilities have been resolved. However, data inconsistencies remain in several areas: the national accounts internal discrepancy noted above between GDP by production and expenditure, which is generated by nonstandard residency criteria in the BOP; inconsistencies between monetary and GFS data on bank financing of government; and inconsistency between external debt statistics disseminated by the NBRK and the MOF, and the IIP statistics disseminated by the NBRK. Revision practices could be improved in certain areas, such as revising a data series in the monetary statistics, providing advance notice of methodological changes for GFS, monetary, and BOP revisions, and revising published GFS on the basis of audited figures.

11. Accessibility. All three data-producing agencies have made significant improvements in both data and metadata accessibility since 2002. All six datasets are now readily available to the public and are accompanied by suitable, comprehensive documentation on concepts, scope, classification, basis of recording, data sources, and statistical techniques. Users of GFS data should be informed of the early access afforded certain government officials. Serviceability to users is very good, including clear identification of contact persons and provision of links to documentation on agency websites.

II. Assessment by Agency and Dataset

Assessment of the quality of six macroeconomic datasets—national accounts, consumer price index (CPI), producer price index (PPI), government finance, monetary, and balance of payments (BOP) statistics—were conducted using the Data Quality Assessment Framework (DQAF). In this section, the results are presented at the level of the DQAF elements and using a four-point rating scale (Table 1). Assessments of the prerequisites of data quality and the assurances of integrity (Dimensions “0” and “1” of the DQAF) are presented in Tables 2a–c. For each dataset, the assessment of methodological soundness, accuracy and reliability, serviceability, and accessibility (Dimensions “2” to “5” of the DQAF) are shown in Tables 3a–f.

Table 1

Kazakhstan: Data Quality Assessment Framework—Summary Results

Practice observed: current practices generally in observance meet or achieve the objectives of DQAF internationally accepted statistical practices without any significant deficiencies.Practice largely observed: some departures, but these are not seen as sufficient to raise doubts about the authorities’ ability to observe the DQAF practices. Practice largely not observed: significant departures and the authorities will need to take significant action to achieve observance. Practice not observed: most DQAF practices are not met. Not applicable: used only exceptionally when statistical practices do not apply to a country’s circumstances.

Table 1

Kazakhstan: Data Quality Assessment Framework—Summary Results

Key to symbols: O = Practice Observed; LO = Practice Largely Observed; LNO=Practice Largely Not Observed; NO = Practice Not Observed; NA = Not Applicable
Datasets	National Accounts	Consumer Price Index	Producer Price Index	Government Finance Statistics	Monetary Statistics	Balance of Payments Statistics
Dimensions/Elements
0. Prerequisites of quality
0.1 Legal and institutional environment	O	O	O	O	O	O
0.2 Resources	LNO	LO	LO	O	O	O
0.3 Relevance	O	O	O	LO	o	o
0.4 Other quality management	O	O	O	O	o	o
1. Assurances of integrity
1.1 Professionalism	O	O	O	O	o	o
1.2 Transparency	O	O	O	LO	LO	LO
1.3 Ethical standards	O	O	O	O	O	O
2. Methodological soundness
2.1 Concepts and definitions	O	O	O	O	O	LO
2.2 Scope	O	O	O	LO	O	O
2.3 Classification/sectorization	O	O	O	LO	LO	O
2.4 Basis for recording	LO	O	O	LO	LO	O
3. Accuracy and reliability
3.1 Source data	LO	O	O	O	O	O
3.2 Assessment of source data	O	O	O	O	O	O
3.3 Statistical techniques	LO	LO	LO	O	O	O
3.4 Assessment and validation of intermediate data and statistical outputs	O	O	O	O	O	O
3.5 Revision studies	O	O	O	LNO	O	O
4. Serviceability
4.1 Periodicity and timeliness	O	O	O	O	O	O
4.2 Consistency	LO	O	O	LNO	LO	LO
4.3 Revision policy and practice	O	O	O	LNO	LO	O
5. Accessibility
5.1 Data accessibility	O	O	O	LO	O	O
5.2 Metadata accessibility	O	O	O	O	O	O
5.3 Assistance to users	O	O	O	O	O	O

Practice observed: current practices generally in observance meet or achieve the objectives of DQAF internationally accepted statistical practices without any significant deficiencies.Practice largely observed: some departures, but these are not seen as sufficient to raise doubts about the authorities’ ability to observe the DQAF practices. Practice largely not observed: significant departures and the authorities will need to take significant action to achieve observance. Practice not observed: most DQAF practices are not met. Not applicable: used only exceptionally when statistical practices do not apply to a country’s circumstances.

View Table

Table 1

Kazakhstan: Data Quality Assessment Framework—Summary Results

Key to symbols: O = Practice Observed; LO = Practice Largely Observed; LNO=Practice Largely Not Observed; NO = Practice Not Observed; NA = Not Applicable
Datasets	National Accounts	Consumer Price Index	Producer Price Index	Government Finance Statistics	Monetary Statistics	Balance of Payments Statistics
Dimensions/Elements
0. Prerequisites of quality
0.1 Legal and institutional environment	O	O	O	O	O	O
0.2 Resources	LNO	LO	LO	O	O	O
0.3 Relevance	O	O	O	LO	o	o
0.4 Other quality management	O	O	O	O	o	o
1. Assurances of integrity
1.1 Professionalism	O	O	O	O	o	o
1.2 Transparency	O	O	O	LO	LO	LO
1.3 Ethical standards	O	O	O	O	O	O
2. Methodological soundness
2.1 Concepts and definitions	O	O	O	O	O	LO
2.2 Scope	O	O	O	LO	O	O
2.3 Classification/sectorization	O	O	O	LO	LO	O
2.4 Basis for recording	LO	O	O	LO	LO	O
3. Accuracy and reliability
3.1 Source data	LO	O	O	O	O	O
3.2 Assessment of source data	O	O	O	O	O	O
3.3 Statistical techniques	LO	LO	LO	O	O	O
3.4 Assessment and validation of intermediate data and statistical outputs	O	O	O	O	O	O
3.5 Revision studies	O	O	O	LNO	O	O
4. Serviceability
4.1 Periodicity and timeliness	O	O	O	O	O	O
4.2 Consistency	LO	O	O	LNO	LO	LO
4.3 Revision policy and practice	O	O	O	LNO	LO	O
5. Accessibility
5.1 Data accessibility	O	O	O	LO	O	O
5.2 Metadata accessibility	O	O	O	O	O	O
5.3 Assistance to users	O	O	O	O	O	O

Practice observed: current practices generally in observance meet or achieve the objectives of DQAF internationally accepted statistical practices without any significant deficiencies.Practice largely observed: some departures, but these are not seen as sufficient to raise doubts about the authorities’ ability to observe the DQAF practices. Practice largely not observed: significant departures and the authorities will need to take significant action to achieve observance. Practice not observed: most DQAF practices are not met. Not applicable: used only exceptionally when statistical practices do not apply to a country’s circumstances.

Table 2a

Kazakhstan: Assessment of Data Quality—Dimensions 0 and 1—Agency of Statistics

Table 2a

Kazakhstan: Assessment of Data Quality—Dimensions 0 and 1—Agency of Statistics

0. Prerequisites of quality

1. Assurances of integrity

Legal and institutional environment The Agency of Statistics of the Republic of Kazakhstan (ASRK) is the country’s central statistical agency responsible for inter-agency coordination. It is supported by a strong legal and institutional environment. The ASRK (i) ensures the functioning and improvement of a unified statistical information system; and (ii) prepares a program of official statistics, in coordination with other data-producing agencies; and implements the program after it is approved by the government. Resources The budgetary prospects for ASRK are generally good and the resources are used efficiently by allocating them in the context of the Plan of Statistical Activities. The ASRK is going through a reorganization period, moving its central office operations to the capital city, Astana. This is likely to cause some disruptions over the transition period; for example, about 15 percent of budgeted ASRK headquarters positions are currently vacant, and staff attrition on the eve of the ASRK reorganization has resulted in an acute staff shortage in the National Accounts Department. There is a need to allocate more resources to the quarterly national accounts program to make full use of discrete source data. Maintaining adequate staff level and continuing with a tight monthly compilation schedule in the Price and Labor Statistics Department during the organizational change will be difficult. Relevance Maintaining the relevance and practical utility of the statistics produced by the ASRK is required by Article 3 of the Law on Official Statistics. The ASRK staff keeps in touch with its main users when providing them with data and explaining the data and methodology, through 10 media conferences held through the year, and via a large number of publications and electronic disseminations, most of which include a feedback form. The ASRK Analysis and Publication Department and Coordination Department systematically collect users’ feedback and route them to relevant departments for follow up. A national accounts user group recently established within the Public Council framework will improve user outreach for the national accounts. The user group also will contribute to addressing the related issue of reducing respondent burden (e.g., collecting only discrete data in surveys rather than both cumulative and discrete data). Other quality management Article 4 of the Law on Official Statistics supports a strong focus on quality. Continuity of national accounts and price programs during a major reorganization and relocation of headquarters functions will require close attention to recruiting and training qualified staff to fill vacancies.

Professionalism Article 8 of the Law on Official Statistics guarantees full professional independence to the ASRK in its statistical work and in the selection of methodologies and statistical techniques. The Law on Official Statistics (Article 4) obliges the ASRK to adhere to the principles of integrity, neutrality, and objectivity in the conduct of its operations. The compilers of national accounts statistics determine the data sources based solely on statistical considerations, i.e., measurement objectives and data requirements and giving due regard to quality, timeliness, costs, burden on respondents and compliance with international standards and good practices. Transparency The website of the ASRK disseminates the Law on Official Statistics, and other documentation on the legal and institutional environment for producing and disseminating the statistics. The survey forms make reference to the Law on Official Statistics and to data confidentiality. The data are released simultaneously to all users. Ethical standards Apart from the provisions of the Law on Official Statistics prohibiting disclosure of confidential information, staff conduct is guided by the Code of Honor for public servants.

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Table 2a

Kazakhstan: Assessment of Data Quality—Dimensions 0 and 1—Agency of Statistics

0. Prerequisites of quality

1. Assurances of integrity

Legal and institutional environment The Agency of Statistics of the Republic of Kazakhstan (ASRK) is the country’s central statistical agency responsible for inter-agency coordination. It is supported by a strong legal and institutional environment. The ASRK (i) ensures the functioning and improvement of a unified statistical information system; and (ii) prepares a program of official statistics, in coordination with other data-producing agencies; and implements the program after it is approved by the government. Resources The budgetary prospects for ASRK are generally good and the resources are used efficiently by allocating them in the context of the Plan of Statistical Activities. The ASRK is going through a reorganization period, moving its central office operations to the capital city, Astana. This is likely to cause some disruptions over the transition period; for example, about 15 percent of budgeted ASRK headquarters positions are currently vacant, and staff attrition on the eve of the ASRK reorganization has resulted in an acute staff shortage in the National Accounts Department. There is a need to allocate more resources to the quarterly national accounts program to make full use of discrete source data. Maintaining adequate staff level and continuing with a tight monthly compilation schedule in the Price and Labor Statistics Department during the organizational change will be difficult. Relevance Maintaining the relevance and practical utility of the statistics produced by the ASRK is required by Article 3 of the Law on Official Statistics. The ASRK staff keeps in touch with its main users when providing them with data and explaining the data and methodology, through 10 media conferences held through the year, and via a large number of publications and electronic disseminations, most of which include a feedback form. The ASRK Analysis and Publication Department and Coordination Department systematically collect users’ feedback and route them to relevant departments for follow up. A national accounts user group recently established within the Public Council framework will improve user outreach for the national accounts. The user group also will contribute to addressing the related issue of reducing respondent burden (e.g., collecting only discrete data in surveys rather than both cumulative and discrete data). Other quality management Article 4 of the Law on Official Statistics supports a strong focus on quality. Continuity of national accounts and price programs during a major reorganization and relocation of headquarters functions will require close attention to recruiting and training qualified staff to fill vacancies.

Professionalism Article 8 of the Law on Official Statistics guarantees full professional independence to the ASRK in its statistical work and in the selection of methodologies and statistical techniques. The Law on Official Statistics (Article 4) obliges the ASRK to adhere to the principles of integrity, neutrality, and objectivity in the conduct of its operations. The compilers of national accounts statistics determine the data sources based solely on statistical considerations, i.e., measurement objectives and data requirements and giving due regard to quality, timeliness, costs, burden on respondents and compliance with international standards and good practices. Transparency The website of the ASRK disseminates the Law on Official Statistics, and other documentation on the legal and institutional environment for producing and disseminating the statistics. The survey forms make reference to the Law on Official Statistics and to data confidentiality. The data are released simultaneously to all users. Ethical standards Apart from the provisions of the Law on Official Statistics prohibiting disclosure of confidential information, staff conduct is guided by the Code of Honor for public servants.

Table 2b

Kazakhstan: Assessment of Data Quality—Dimensions 0 and 1—Ministry of Finance

Table 2b

Kazakhstan: Assessment of Data Quality—Dimensions 0 and 1—Ministry of Finance

0. Prerequisites of quality

1. Assurances of integrity

Legal and institutional environment The Reporting and Statistics Department (RSD) of the Ministry of Finance (MOF) has the main responsibility for the compilation and dissemination of government finance statistics (GFS). In addition, the Treasury Committee compiles and disseminates data on government and government guaranteed debt, while the State Borrowing Department compiles and disseminates data on borrowing. All aspects of the MOF’s powers and responsibilities as the only agency responsible for the compilation and dissemination of GFS are defined in the Budget Code, No. 548 of April 24, 2004 (amended July 5, 2006). The effectiveness of data sharing with other agencies is sufficient for the compilation and dissemination of GFS. Coordination is assured by the execution of data provision agreements among agencies and departments, which specify the lists and reporting formats for the supply of data. Resources The RSD has sufficient staff and computing resources to carry out its existing compilation and dissemination responsibilities. If the government decides to migrate to the methodology of the Government Finance Statistics Manual 2001 (GFSM 2001), more staff training in GFS methodology, and possibly more staff resources, will be needed. The Treasury Integrated Information System (TIIS), implemented in 2004 has greatly improved the efficiency of budget operations. Relevance The main mechanism for monitoring the utility of user needs is through the operation of the Methodological Council, which is chaired by the Minister. The members of the Council include the deputy ministers and heads of various MOF departments and committees. One of the Council’s main responsibilities is to review the issues of methodology, accuracy and serviceability, as well as to set the work program for improving statistics and related administrative procedures. The Council meets as needed, but at least once per quarter. The statistics published in the MOF Statistical Bulletin and on the MOF website do not identify information on payables and receivables from past periods, and settled in the current period which would permit users, such as the Agency of Statistics of the Republic of Kazakhstan (ASRK), to adjust cash-basis statistics to an accrual basis. Other quality management Issues of data quality are addressed in the Budget Code and the Law on Official Statistics. Budget execution data are subjected to internal audit and external review by the Audit Committee for the Supervision over the Execution of the Republican Budget. Quality and timeliness of fiscal data is discussed in the MOF’s Methodological Council in the context of developing and approving the work program for GFS. The MOF has no current plans to transition the GFS to GFSM2001.

Professionalism The legislative provisions under the Budget Code and the Law on Official Statistics, together with adherence to international statistical practices, lay the foundations for the production of fiscal data on an impartial basis. The Ministry management of the MOF is responsible for responding to erroneous information on budget matters. The MOF press service prepares comments, which are distributed through press releases. Transparency Information about laws and practices governing the collection, compilation, and dissemination of budget data are available on the MOF’s website (http://www.minfin.kz) and in the Statistical Bulletin. GFS/SDDS metadata are posted on the ASRK’s website (http://www.stat.kz) and the IMF’s Dissemination Standards Bulletin Board (DSBB) (http://dsbb.imf.org). Monthly republican budget execution data are made available to the office of the President of the Republic of Kazakhstan, the Republic of Kazakhstan government, the Audit Committee for the Supervision over the Execution of the Republican Budget, the central authorized internal control agency, and the Ministry of Economy and Budget Planning before they are publicly disseminated. This prior access is not publicized. The information published by the MOF on its website and in the Statistical Bulletin is clearly identified. Major changes affecting the production of budget data are publicized during the budget formulation process, and in the budget documents. However, there is no formal advance notification process that advises all users. Ethical standards Staff of the MOF is governed by the codes of ethics for civil servants, which prescribe the behavior standards for performance of official duties.

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Table 2b

Kazakhstan: Assessment of Data Quality—Dimensions 0 and 1—Ministry of Finance

0. Prerequisites of quality

1. Assurances of integrity

Legal and institutional environment The Reporting and Statistics Department (RSD) of the Ministry of Finance (MOF) has the main responsibility for the compilation and dissemination of government finance statistics (GFS). In addition, the Treasury Committee compiles and disseminates data on government and government guaranteed debt, while the State Borrowing Department compiles and disseminates data on borrowing. All aspects of the MOF’s powers and responsibilities as the only agency responsible for the compilation and dissemination of GFS are defined in the Budget Code, No. 548 of April 24, 2004 (amended July 5, 2006). The effectiveness of data sharing with other agencies is sufficient for the compilation and dissemination of GFS. Coordination is assured by the execution of data provision agreements among agencies and departments, which specify the lists and reporting formats for the supply of data. Resources The RSD has sufficient staff and computing resources to carry out its existing compilation and dissemination responsibilities. If the government decides to migrate to the methodology of the Government Finance Statistics Manual 2001 (GFSM 2001), more staff training in GFS methodology, and possibly more staff resources, will be needed. The Treasury Integrated Information System (TIIS), implemented in 2004 has greatly improved the efficiency of budget operations. Relevance The main mechanism for monitoring the utility of user needs is through the operation of the Methodological Council, which is chaired by the Minister. The members of the Council include the deputy ministers and heads of various MOF departments and committees. One of the Council’s main responsibilities is to review the issues of methodology, accuracy and serviceability, as well as to set the work program for improving statistics and related administrative procedures. The Council meets as needed, but at least once per quarter. The statistics published in the MOF Statistical Bulletin and on the MOF website do not identify information on payables and receivables from past periods, and settled in the current period which would permit users, such as the Agency of Statistics of the Republic of Kazakhstan (ASRK), to adjust cash-basis statistics to an accrual basis. Other quality management Issues of data quality are addressed in the Budget Code and the Law on Official Statistics. Budget execution data are subjected to internal audit and external review by the Audit Committee for the Supervision over the Execution of the Republican Budget. Quality and timeliness of fiscal data is discussed in the MOF’s Methodological Council in the context of developing and approving the work program for GFS. The MOF has no current plans to transition the GFS to GFSM2001.

Professionalism The legislative provisions under the Budget Code and the Law on Official Statistics, together with adherence to international statistical practices, lay the foundations for the production of fiscal data on an impartial basis. The Ministry management of the MOF is responsible for responding to erroneous information on budget matters. The MOF press service prepares comments, which are distributed through press releases. Transparency Information about laws and practices governing the collection, compilation, and dissemination of budget data are available on the MOF’s website (http://www.minfin.kz) and in the Statistical Bulletin. GFS/SDDS metadata are posted on the ASRK’s website (http://www.stat.kz) and the IMF’s Dissemination Standards Bulletin Board (DSBB) (http://dsbb.imf.org). Monthly republican budget execution data are made available to the office of the President of the Republic of Kazakhstan, the Republic of Kazakhstan government, the Audit Committee for the Supervision over the Execution of the Republican Budget, the central authorized internal control agency, and the Ministry of Economy and Budget Planning before they are publicly disseminated. This prior access is not publicized. The information published by the MOF on its website and in the Statistical Bulletin is clearly identified. Major changes affecting the production of budget data are publicized during the budget formulation process, and in the budget documents. However, there is no formal advance notification process that advises all users. Ethical standards Staff of the MOF is governed by the codes of ethics for civil servants, which prescribe the behavior standards for performance of official duties.

Table 2c

Kazakhstan: Assessment of Data Quality—Dimensions 0 and 1—National Bank

Table 2c

Kazakhstan: Assessment of Data Quality—Dimensions 0 and 1—National Bank

0. Prerequisites of quality

1. Assurances of integrity

Legal and institutional environment The National Bank of the Republic of Kazakhstan’s (NBRK) responsibility for collecting and disseminating statistics is supported by a sound legal and institutional framework. The Law on the Republic of Kazakhstan National Bank (1995; Articles 8, 61) and the Law on Banks and Banking in the Republic of Kazakhstan (Article 54) authorizes the NBRK to collect the full range of monetary and financial, balance of payments (BOP), and international investment position (IIP) statistics from financial and nonfinancial organizations as needed to facilitate performance of its central bank functions. Data sharing among NBRK departments and with other agencies is adequate, with the Agency of Statistics of the Republic of Kazakhstan (ASRK) as the main coordinator of the work and activities of data producing agencies. Confidentiality of respondents’ data is protected by law, and statistical reporting is ensured through legal mandate and measures to encourage response. Resources Staff, financial, and computing resources are adequate. Staff is well trained, training is provided on an ongoing basis, and staff resources are efficiently organized into data collection, compilation, and dissemination functions; staff retention in the Statistics Division has been good since its inception in 1995. Computing resources are also well utilized to achieve efficiencies in data collection and compilation procedures. Relevance The NBRK consistently aims to adopt international standards in monetary and financial and BOP statistics that meet users’ needs. This emphasis on international standards has led in the past decade to many significant improvements in the relevance and usefulness of data to users. While no formal mechanisms exist to solicit user feedback, the NBRK actively consults with users in outreach programs, seminars, and press conferences that facilitate the identification of user needs. Other quality management The importance of data quality to management is evidenced by its strong support of budgetary and resource requests from the statistics departments of the NBRK. Regular reviews are undertaken by staff to identify problems in the areas of data collection, processing, and dissemination. In formulating its statistical program in coordination with the ASRK, quality issues are assessed in the context of trade-offs between accuracy and timeliness in source data. User surveys are not conducted but feedback from users is considered when the NBRK prepares its statistical program.

Professionalism Provisions in the Law on Official Statistics grant independence to the NBRK in its statistical activities. Government officials do not comment on or regulate the release of data by the NBRK or request revisions without proper statistical justification. Compilers are hired on a competitive basis and adhere to civil service standards of professional conduct. Vacancies are publicly advertised and filled competitively. The choice of data processing and validation techniques are based solely on statistical considerations. Compilers actively follow the financial press and media coverage of the NBRK’s products and the NBRK stands ready to comment on any erroneous interpretation and misuse of its statistics. Transparency The laws and codes governing the collection of statistics are published on the NBRK’s website. Kazakhstan’s SDDS metadata, available on the website, provide information on the processing and dissemination of data. Users outside the NBRK do not have prior access to data prior to their release. The NBRK’s publications clearly identify the NBRK as the publisher. Users are notified of major changes in methodology and statistics when they occur but not prior to their introduction. Ethical standards The NBRK staff are required to follow the civil service code of honor, which specifies ethical and professional standards.

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Table 2c

Kazakhstan: Assessment of Data Quality—Dimensions 0 and 1—National Bank

0. Prerequisites of quality

1. Assurances of integrity

Legal and institutional environment The National Bank of the Republic of Kazakhstan’s (NBRK) responsibility for collecting and disseminating statistics is supported by a sound legal and institutional framework. The Law on the Republic of Kazakhstan National Bank (1995; Articles 8, 61) and the Law on Banks and Banking in the Republic of Kazakhstan (Article 54) authorizes the NBRK to collect the full range of monetary and financial, balance of payments (BOP), and international investment position (IIP) statistics from financial and nonfinancial organizations as needed to facilitate performance of its central bank functions. Data sharing among NBRK departments and with other agencies is adequate, with the Agency of Statistics of the Republic of Kazakhstan (ASRK) as the main coordinator of the work and activities of data producing agencies. Confidentiality of respondents’ data is protected by law, and statistical reporting is ensured through legal mandate and measures to encourage response. Resources Staff, financial, and computing resources are adequate. Staff is well trained, training is provided on an ongoing basis, and staff resources are efficiently organized into data collection, compilation, and dissemination functions; staff retention in the Statistics Division has been good since its inception in 1995. Computing resources are also well utilized to achieve efficiencies in data collection and compilation procedures. Relevance The NBRK consistently aims to adopt international standards in monetary and financial and BOP statistics that meet users’ needs. This emphasis on international standards has led in the past decade to many significant improvements in the relevance and usefulness of data to users. While no formal mechanisms exist to solicit user feedback, the NBRK actively consults with users in outreach programs, seminars, and press conferences that facilitate the identification of user needs. Other quality management The importance of data quality to management is evidenced by its strong support of budgetary and resource requests from the statistics departments of the NBRK. Regular reviews are undertaken by staff to identify problems in the areas of data collection, processing, and dissemination. In formulating its statistical program in coordination with the ASRK, quality issues are assessed in the context of trade-offs between accuracy and timeliness in source data. User surveys are not conducted but feedback from users is considered when the NBRK prepares its statistical program.

Professionalism Provisions in the Law on Official Statistics grant independence to the NBRK in its statistical activities. Government officials do not comment on or regulate the release of data by the NBRK or request revisions without proper statistical justification. Compilers are hired on a competitive basis and adhere to civil service standards of professional conduct. Vacancies are publicly advertised and filled competitively. The choice of data processing and validation techniques are based solely on statistical considerations. Compilers actively follow the financial press and media coverage of the NBRK’s products and the NBRK stands ready to comment on any erroneous interpretation and misuse of its statistics. Transparency The laws and codes governing the collection of statistics are published on the NBRK’s website. Kazakhstan’s SDDS metadata, available on the website, provide information on the processing and dissemination of data. Users outside the NBRK do not have prior access to data prior to their release. The NBRK’s publications clearly identify the NBRK as the publisher. Users are notified of major changes in methodology and statistics when they occur but not prior to their introduction. Ethical standards The NBRK staff are required to follow the civil service code of honor, which specifies ethical and professional standards.

Table 3a

Kazakhstan: Assessment of Data Quality—Dimensions 2 to 5—National Accounts

Table 3a

Kazakhstan: Assessment of Data Quality—Dimensions 2 to 5—National Accounts

2. Methodological soundness	3. Accuracy and reliability	4. Serviceability	5. Accessibility
Concepts and definitions The national accounts concepts and definitions follow the System of National Accounts 1993 (1993 SNA). Scope The scope of national accounts meets the minimum requirements for tables and accounts established by the Intersecretariat Working Group on National Accounts, as well as several accounts that are recommended by the working group. Classification/sectorization The classifications of institutional units, transactions and other flows broadly follow international practice, and include extensions to reflect national features. Basis for recording The valuation rules used for recording the flows and stocks follow the 1993 SNA. The transactions are recorded, in principle, on an accrual basis with the exception of the general government data, that are recorded on a cash basis.	Source data The data collection program is sound except for newly-established sample surveys. To improve estimates of small business activity, there is a need to conduct supplementary surveys. An outstanding issue is the need to eliminate collection of cumulative data when discrete data are already collected. Assessment of source data The source data are routinely assessed for coverage and errors. Statistical techniques Imputation and adjustment methods are appropriate. The techniques for preparing the national accounts generally comply with 1993 SNA requirements. Available data should be used to compile volume estimates via double deflation. Assessment and validation of intermediate data and statistical outputs Appropriate procedures are followed for validation. The statistical discrepancy is small and shown explicitly. Revision studies Revisions are studied regularly and the lessons drawn from them are applied to improve the estimates.	Periodicity and timeliness The GDP estimates are compiled with annual and quarterly periodicity. Their timeliness meets the Special Data Dissemination Standard (SDDS) requirements. Consistency Consistent GDP estimates are available from 1998. The GDP estimates by activity and expenditure components are overall internally consistent from a conceptual standpoint (statistical discrepancy is one percent of GDP). However, there are differences between the national accounts data and the balance of payments (BOP) data because the output of certain foreign construction companies is incorrectly treated as imports in the BOP. Revision policy and practice The revision policy for annual and quarterly national accounts is clearly established, punctually followed, and published in the annual statistical plan.	Data accessibility National accounts data are released simultaneously to all users following the advance release calendar; in electronic form and through publications; at a disaggregated level, with charts and tables; and accompanied with a commentary that explains the movements in the tracked variables. Metadata accessibility The metadata are disseminated at different levels: methodological notes, SDDS metadata, and through a recently published (2006) comprehensive methodological guidebook. Assistance to users The ASRK provides knowledgeable user support for its statistical output. All statistical publications identify individuals who may be contacted by mail, telephone, facsimile, or by e-mail. The ASRK publishes a comprehensive catalog of publications in print and on the internet.

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Table 3a

Kazakhstan: Assessment of Data Quality—Dimensions 2 to 5—National Accounts

2. Methodological soundness	3. Accuracy and reliability	4. Serviceability	5. Accessibility
Concepts and definitions The national accounts concepts and definitions follow the System of National Accounts 1993 (1993 SNA). Scope The scope of national accounts meets the minimum requirements for tables and accounts established by the Intersecretariat Working Group on National Accounts, as well as several accounts that are recommended by the working group. Classification/sectorization The classifications of institutional units, transactions and other flows broadly follow international practice, and include extensions to reflect national features. Basis for recording The valuation rules used for recording the flows and stocks follow the 1993 SNA. The transactions are recorded, in principle, on an accrual basis with the exception of the general government data, that are recorded on a cash basis.	Source data The data collection program is sound except for newly-established sample surveys. To improve estimates of small business activity, there is a need to conduct supplementary surveys. An outstanding issue is the need to eliminate collection of cumulative data when discrete data are already collected. Assessment of source data The source data are routinely assessed for coverage and errors. Statistical techniques Imputation and adjustment methods are appropriate. The techniques for preparing the national accounts generally comply with 1993 SNA requirements. Available data should be used to compile volume estimates via double deflation. Assessment and validation of intermediate data and statistical outputs Appropriate procedures are followed for validation. The statistical discrepancy is small and shown explicitly. Revision studies Revisions are studied regularly and the lessons drawn from them are applied to improve the estimates.	Periodicity and timeliness The GDP estimates are compiled with annual and quarterly periodicity. Their timeliness meets the Special Data Dissemination Standard (SDDS) requirements. Consistency Consistent GDP estimates are available from 1998. The GDP estimates by activity and expenditure components are overall internally consistent from a conceptual standpoint (statistical discrepancy is one percent of GDP). However, there are differences between the national accounts data and the balance of payments (BOP) data because the output of certain foreign construction companies is incorrectly treated as imports in the BOP. Revision policy and practice The revision policy for annual and quarterly national accounts is clearly established, punctually followed, and published in the annual statistical plan.	Data accessibility National accounts data are released simultaneously to all users following the advance release calendar; in electronic form and through publications; at a disaggregated level, with charts and tables; and accompanied with a commentary that explains the movements in the tracked variables. Metadata accessibility The metadata are disseminated at different levels: methodological notes, SDDS metadata, and through a recently published (2006) comprehensive methodological guidebook. Assistance to users The ASRK provides knowledgeable user support for its statistical output. All statistical publications identify individuals who may be contacted by mail, telephone, facsimile, or by e-mail. The ASRK publishes a comprehensive catalog of publications in print and on the internet.

Table 3b

Kazakhstan: Assessment of Data Quality—Dimensions 2 to 5—Consumer Price Index

Table 3b

Kazakhstan: Assessment of Data Quality—Dimensions 2 to 5—Consumer Price Index

2. Methodological soundness	3. Accuracy and reliability	4. Serviceability	5. Accessibility
Concepts and definitions The concepts and definitions for household consumption expenditures are consistent with the System of National Accounts 1993 (1993 SNA) and determine the weights for the consumer price index (CPI). The weights are determined at the most detailed level of the Classification of Individual Consumption by Purpose (COICOP) classification and include expenditure on owner-occupied housing services. Scope All resident households, both urban and rural, are included in the CPI. On a geographic basis, the CPI covers 14 oblasts, 27 districts, Almaty, Astana, and three other large cities. The CPI includes housing costs such as rents, and since 2004 also includes owner-occupied housing. Illegal market transactions are not included. Classification/sectorization The 1993 SNA classifies institutional units and the COICOP classification is used to classify household final consumption activities. Basis for recording The CPI weights are derived from consumption expenditures valued at market prices in accord with the 1993 SNA.	Source data The household income and expenditure survey (HIES) for the index weights and a monthly price survey are based on international good practices and provide sound foundation for CPI compilation. Sample design and estimation procedures represent the survey universe. Assessment of source data The Agency of Statistics of the Republic of Kazakhstan (ASRK) collects regularly reviewed information on both sampling and nonsampling errors for all surveys. Statistical techniques Overall, the ASRK utilizes sound statistical techniques to ensure the accuracy and reliability of CPI compilation. However, current international guidance recommends the geometric mean rather than the ratio of average prices for elementary aggregation of price relatives, and the imputation method of some seasonal items in long time series has a potential flaw. Assessment and validation of intermediate data and statistical outputs The CPI is compared with comparable estimates from other major price indexes such as the producer price index. Revision studies A revision study is carried out when weights are revised annually.	Periodicity and timeliness Periodicity and timeliness meet Special Data Dissemination Standard (SDDS) requirements. The monthly CPI estimates are disseminated on the first day following the reporting period. Consistency The CPI estimates for the different classifications are internally consistent in that the all-item aggregate is invariant to aggregation by products or regions. The CPI estimates are consistent with the national accounts and with other price statistics systems. Revision policy and practice The CPI weight revision cycle is predetermined and stable from year to year and the users are well aware of this schedule. The weights are revised annually but the CPI estimates are final when first released and are not subject to revision.	Data accessibility The ASRK produces a wide range of publications where the CPI is included in a clear manner with accompanying charts, tables, and analysis of current-period developments to facilitate user understanding. Metadata accessibility A comprehensive set of methodological publications, all accessible through the ASRK website, provide information on CPI compilation at various levels of detail. Assistance to users The ASRK provides strong and knowledgeable user support for its statistical output. All statistical publications identify individuals who may be contacted by mail, telephone, facsimile, or by e-mail. The ASRK publishes a comprehensive catalog of publications in print and on the Internet.

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Table 3b

Kazakhstan: Assessment of Data Quality—Dimensions 2 to 5—Consumer Price Index

2. Methodological soundness	3. Accuracy and reliability	4. Serviceability	5. Accessibility
Concepts and definitions The concepts and definitions for household consumption expenditures are consistent with the System of National Accounts 1993 (1993 SNA) and determine the weights for the consumer price index (CPI). The weights are determined at the most detailed level of the Classification of Individual Consumption by Purpose (COICOP) classification and include expenditure on owner-occupied housing services. Scope All resident households, both urban and rural, are included in the CPI. On a geographic basis, the CPI covers 14 oblasts, 27 districts, Almaty, Astana, and three other large cities. The CPI includes housing costs such as rents, and since 2004 also includes owner-occupied housing. Illegal market transactions are not included. Classification/sectorization The 1993 SNA classifies institutional units and the COICOP classification is used to classify household final consumption activities. Basis for recording The CPI weights are derived from consumption expenditures valued at market prices in accord with the 1993 SNA.	Source data The household income and expenditure survey (HIES) for the index weights and a monthly price survey are based on international good practices and provide sound foundation for CPI compilation. Sample design and estimation procedures represent the survey universe. Assessment of source data The Agency of Statistics of the Republic of Kazakhstan (ASRK) collects regularly reviewed information on both sampling and nonsampling errors for all surveys. Statistical techniques Overall, the ASRK utilizes sound statistical techniques to ensure the accuracy and reliability of CPI compilation. However, current international guidance recommends the geometric mean rather than the ratio of average prices for elementary aggregation of price relatives, and the imputation method of some seasonal items in long time series has a potential flaw. Assessment and validation of intermediate data and statistical outputs The CPI is compared with comparable estimates from other major price indexes such as the producer price index. Revision studies A revision study is carried out when weights are revised annually.	Periodicity and timeliness Periodicity and timeliness meet Special Data Dissemination Standard (SDDS) requirements. The monthly CPI estimates are disseminated on the first day following the reporting period. Consistency The CPI estimates for the different classifications are internally consistent in that the all-item aggregate is invariant to aggregation by products or regions. The CPI estimates are consistent with the national accounts and with other price statistics systems. Revision policy and practice The CPI weight revision cycle is predetermined and stable from year to year and the users are well aware of this schedule. The weights are revised annually but the CPI estimates are final when first released and are not subject to revision.	Data accessibility The ASRK produces a wide range of publications where the CPI is included in a clear manner with accompanying charts, tables, and analysis of current-period developments to facilitate user understanding. Metadata accessibility A comprehensive set of methodological publications, all accessible through the ASRK website, provide information on CPI compilation at various levels of detail. Assistance to users The ASRK provides strong and knowledgeable user support for its statistical output. All statistical publications identify individuals who may be contacted by mail, telephone, facsimile, or by e-mail. The ASRK publishes a comprehensive catalog of publications in print and on the Internet.

Table 3c

Kazakhstan: Assessment of Data Quality—Dimensions 2 to 5—Producer Price Index

Table 3c

Kazakhstan: Assessment of Data Quality—Dimensions 2 to 5—Producer Price Index

2. Methodological soundness	3. Accuracy and reliability	4. Serviceability	5. Accessibility
Concepts and definitions The concepts and definitions used to compile the producer price index (PPI) follow international guidelines. The output PPI weights are based on the market value of industrial output following the System of National Accounts 1993 (1993 SNA). The transaction specifications for individual goods to be priced follow the guidelines given in the Producer Price Index Manual. Scope The PPI covers core industrial activities and selected energy and production services and covering some 230 commodity groups. The enterprise coverage of the statistical enterprise register, used for the PPI establishment sample, and the product coverage broadly follows the 1993 SNA including all resident enterprises. Classification/sectorization The PPI is based on European NACE- and CPA-derived activity and product classifications. Basis for recording The output PPI uses weights valued at basic prices, whereas purchaser’s prices are used to value the input PPI weights.	Source data The source data for the PPI weights and prices are collected from comprehensive data programs. Up-to-date State Statistical Register and a sectoral catalog of enterprises are used for the establishment sample frame. Source data for weights and prices are consistent with the definitions, scope, and classification of the PPI. Assessment of source data The Agency of Statistics of the Republic of Kazakhstan (ASRK) collects regularly reviewed information on both sampling and nonsampling errors for all surveys. The regional offices analyze price movements of same products from different enterprises to identify nontypical price movements. Statistical techniques Overall, the ASRK utilizes sound statistical techniques to ensure the accuracy and reliability of PPI compilation. However, current international guidance recommends the geometric mean rather than the ratio of average prices for elementary aggregation of price relatives. Assessment and validation of intermediate data and statistical outputs Changes in the sub-level PPI are compared with the prices of agricultural products, the input producer prices, and export prices. Revision studies A revision study is carried out when weights are revised annually.	Periodicity and timeliness Periodicity and timeliness meet the Special Data Dissemination Standard (SDDS) requirements. The monthly PPI estimates are disseminated on the first day following the reporting period. Consistency The PPI estimates for the different classifications are internally consistent in that the all-item aggregate is invariant to aggregation by products or industries. The PPI estimates are consistent with the national accounts and with other price statistics systems. Revision policy and practice The PPI weight revision cycle is predetermined and stable from year to year and the users are well aware of this schedule. The weights are revised annually but the PPI estimates are final when first released and are not subject to revision.	Data accessibility The ASRK produces a wide range of publications where the PPI is included in a clear manner with accompanying charts, tables, and analysis of current-period developments to facilitate user understanding. Metadata accessibility A comprehensive set of methodological publications, all accessible through the ASRK website, provide information on the PPI compilation at various levels of detail. Assistance to users The ASRK provides knowledgeable user support for its statistical output. All statistical publications identify individuals who may be contacted by mail, telephone, facsimile, or by e-mail. The ASRK publishes a comprehensive catalog of publications in print and on the Internet.

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Table 3c

Kazakhstan: Assessment of Data Quality—Dimensions 2 to 5—Producer Price Index

2. Methodological soundness	3. Accuracy and reliability	4. Serviceability	5. Accessibility
Concepts and definitions The concepts and definitions used to compile the producer price index (PPI) follow international guidelines. The output PPI weights are based on the market value of industrial output following the System of National Accounts 1993 (1993 SNA). The transaction specifications for individual goods to be priced follow the guidelines given in the Producer Price Index Manual. Scope The PPI covers core industrial activities and selected energy and production services and covering some 230 commodity groups. The enterprise coverage of the statistical enterprise register, used for the PPI establishment sample, and the product coverage broadly follows the 1993 SNA including all resident enterprises. Classification/sectorization The PPI is based on European NACE- and CPA-derived activity and product classifications. Basis for recording The output PPI uses weights valued at basic prices, whereas purchaser’s prices are used to value the input PPI weights.	Source data The source data for the PPI weights and prices are collected from comprehensive data programs. Up-to-date State Statistical Register and a sectoral catalog of enterprises are used for the establishment sample frame. Source data for weights and prices are consistent with the definitions, scope, and classification of the PPI. Assessment of source data The Agency of Statistics of the Republic of Kazakhstan (ASRK) collects regularly reviewed information on both sampling and nonsampling errors for all surveys. The regional offices analyze price movements of same products from different enterprises to identify nontypical price movements. Statistical techniques Overall, the ASRK utilizes sound statistical techniques to ensure the accuracy and reliability of PPI compilation. However, current international guidance recommends the geometric mean rather than the ratio of average prices for elementary aggregation of price relatives. Assessment and validation of intermediate data and statistical outputs Changes in the sub-level PPI are compared with the prices of agricultural products, the input producer prices, and export prices. Revision studies A revision study is carried out when weights are revised annually.	Periodicity and timeliness Periodicity and timeliness meet the Special Data Dissemination Standard (SDDS) requirements. The monthly PPI estimates are disseminated on the first day following the reporting period. Consistency The PPI estimates for the different classifications are internally consistent in that the all-item aggregate is invariant to aggregation by products or industries. The PPI estimates are consistent with the national accounts and with other price statistics systems. Revision policy and practice The PPI weight revision cycle is predetermined and stable from year to year and the users are well aware of this schedule. The weights are revised annually but the PPI estimates are final when first released and are not subject to revision.	Data accessibility The ASRK produces a wide range of publications where the PPI is included in a clear manner with accompanying charts, tables, and analysis of current-period developments to facilitate user understanding. Metadata accessibility A comprehensive set of methodological publications, all accessible through the ASRK website, provide information on the PPI compilation at various levels of detail. Assistance to users The ASRK provides knowledgeable user support for its statistical output. All statistical publications identify individuals who may be contacted by mail, telephone, facsimile, or by e-mail. The ASRK publishes a comprehensive catalog of publications in print and on the Internet.

Table 3d

Kazakhstan: Assessment of Data Quality—Dimensions 2 to 5—Government Finance Statistics

Table 3d

Kazakhstan: Assessment of Data Quality—Dimensions 2 to 5—Government Finance Statistics

2. Methodological soundness	3. Accuracy and reliability	4. Serviceability	5. Accessibility
Concepts and definitions The methodology for compiling fiscal data is broadly consistent with the IMF’s A Manual on Government Finance Statistics (GFSM 1986). Scope Institutional coverage comprises the units of the State budget, which consolidates the Republican (central) and local government budgets. Data on the National Fund of the Republic of Kazakhstan (NFRK), an extrabudgetary fund that is conceptually part of the Republican (central) government, are concurrently published but are not consolidated in the presentation of Republican or State (general government) budget data. Classification/sectorization The budget classification is broadly consistent with the classification principles of the GFSM 1986. Under Chapter 5 of the Budget Code, a uniform budget classification is used to record the budget receipts and expenditure for all levels of government. Debt assumption under government guarantees and strict residency basis do not follow GFSM methodology. Basis for recording Data are recorded on a cash basis. Gross debt is recorded at face value. The authorities have no program for transition to the accrual methodology of the Government Finance Statistics Manual 2001.	Source data Source data are based on accounts kept by the Ministry of Finance Treasury Committee in its Integrated Information System. Debt data are based on the entries of the Treasury Committee. Assessment of source data Statistics on budgetary operations (other than data on foreign financed investment projects submitted by the implementing agencies) are compiled from administrative records on government transactions and the stock of public debt. Statistical techniques Data are compiled using software systems conforming to methodology prescribed by the Budget Code. Data on nonbank financing is estimated using methodology recommended by the IMF. Assessment and validation of intermediate data and statistical outputs Daily reconciliation of Treasury Committee and National Bank of the Republic of Kazakhstan (NBRK) data validate revenue and expenditure transactions against financing data. Revision studies Budget execution data are not normally replaced by audited data to allow revision studies.	Periodicity and timeliness Data on the execution of the State and Republican budgets are disseminated monthly. Breakdown of domestic financing into bank and nonbank financing is compiled quarterly. Debt data for the Republican (central) and local governments and the NBRK are disseminated quarterly. Consistency Budget data processing procedures ensure that the monthly data link consistently to annual data. 2003 and 2004 data were adjusted to account for discontinuities arising from changes to methodology. The Treasury Committee maintains a record of all borrowing in foreign currencies and is able to reconcile financing data with changes in debt. Although revisions of budget execution due to auditing are approved by the Parliament of the Republic of Kazakhstan and made public, their implications for government finance statistics are not analyzed. There are inconsistencies in the level of bank financing in the government finance and monetary statistics. Revision policy and practice Due to a policy of not revising published statistics, published cumulative budget execution statistics are not replaced by audited annual data. The policy of nonrevision is not disclosed in statistical publications.	Data accessibility Statistics on budgetary government operations are presented in a way that allows major aggregates and balancing items to be identified and related to detailed underlying data. The information presented is suitable for use in budget development and monitoring. Statistics that are provided approximate the detail and coverage set out in the GFSM 1986 tables. Monthly data on the operations of the NFRK are disseminated concurrently with the budget data. In the monthly Statistical Bulletin, discrete quarterly data are presented for the latest year and the previous year. Although release dates are provided in advance on the IMF Special Data Dissemination Standard (SDDS) website for government operations and debt, the MOF does not issue an advance calendar for its own releases of budget execution and debt data. Metadata accessibility A summary of the methodology, explanatory notes, and concepts and definitions used is published in the monthly Statistical Bulletin and on the websites of the Agency of Statistics of the Republic of Kazakhstan (http://www.stat.kz) and the IMF (http://www.dsbb.imf.org). Certain officials have prior unpublicized access to data. Assistance to users The MOF Statistical Bulletin and website provide contact persons for statistics on government operations. The MOF provides reasonably timely responses to queries, as required by the Budget Code.

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Table 3d

Kazakhstan: Assessment of Data Quality—Dimensions 2 to 5—Government Finance Statistics

2. Methodological soundness	3. Accuracy and reliability	4. Serviceability	5. Accessibility
Concepts and definitions The methodology for compiling fiscal data is broadly consistent with the IMF’s A Manual on Government Finance Statistics (GFSM 1986). Scope Institutional coverage comprises the units of the State budget, which consolidates the Republican (central) and local government budgets. Data on the National Fund of the Republic of Kazakhstan (NFRK), an extrabudgetary fund that is conceptually part of the Republican (central) government, are concurrently published but are not consolidated in the presentation of Republican or State (general government) budget data. Classification/sectorization The budget classification is broadly consistent with the classification principles of the GFSM 1986. Under Chapter 5 of the Budget Code, a uniform budget classification is used to record the budget receipts and expenditure for all levels of government. Debt assumption under government guarantees and strict residency basis do not follow GFSM methodology. Basis for recording Data are recorded on a cash basis. Gross debt is recorded at face value. The authorities have no program for transition to the accrual methodology of the Government Finance Statistics Manual 2001.	Source data Source data are based on accounts kept by the Ministry of Finance Treasury Committee in its Integrated Information System. Debt data are based on the entries of the Treasury Committee. Assessment of source data Statistics on budgetary operations (other than data on foreign financed investment projects submitted by the implementing agencies) are compiled from administrative records on government transactions and the stock of public debt. Statistical techniques Data are compiled using software systems conforming to methodology prescribed by the Budget Code. Data on nonbank financing is estimated using methodology recommended by the IMF. Assessment and validation of intermediate data and statistical outputs Daily reconciliation of Treasury Committee and National Bank of the Republic of Kazakhstan (NBRK) data validate revenue and expenditure transactions against financing data. Revision studies Budget execution data are not normally replaced by audited data to allow revision studies.	Periodicity and timeliness Data on the execution of the State and Republican budgets are disseminated monthly. Breakdown of domestic financing into bank and nonbank financing is compiled quarterly. Debt data for the Republican (central) and local governments and the NBRK are disseminated quarterly. Consistency Budget data processing procedures ensure that the monthly data link consistently to annual data. 2003 and 2004 data were adjusted to account for discontinuities arising from changes to methodology. The Treasury Committee maintains a record of all borrowing in foreign currencies and is able to reconcile financing data with changes in debt. Although revisions of budget execution due to auditing are approved by the Parliament of the Republic of Kazakhstan and made public, their implications for government finance statistics are not analyzed. There are inconsistencies in the level of bank financing in the government finance and monetary statistics. Revision policy and practice Due to a policy of not revising published statistics, published cumulative budget execution statistics are not replaced by audited annual data. The policy of nonrevision is not disclosed in statistical publications.	Data accessibility Statistics on budgetary government operations are presented in a way that allows major aggregates and balancing items to be identified and related to detailed underlying data. The information presented is suitable for use in budget development and monitoring. Statistics that are provided approximate the detail and coverage set out in the GFSM 1986 tables. Monthly data on the operations of the NFRK are disseminated concurrently with the budget data. In the monthly Statistical Bulletin, discrete quarterly data are presented for the latest year and the previous year. Although release dates are provided in advance on the IMF Special Data Dissemination Standard (SDDS) website for government operations and debt, the MOF does not issue an advance calendar for its own releases of budget execution and debt data. Metadata accessibility A summary of the methodology, explanatory notes, and concepts and definitions used is published in the monthly Statistical Bulletin and on the websites of the Agency of Statistics of the Republic of Kazakhstan (http://www.stat.kz) and the IMF (http://www.dsbb.imf.org). Certain officials have prior unpublicized access to data. Assistance to users The MOF Statistical Bulletin and website provide contact persons for statistics on government operations. The MOF provides reasonably timely responses to queries, as required by the Budget Code.

Table 3e

Kazakhstan: Assessment of Data Quality—Dimensions 2 to 5—Monetary Statistics

Table 3e

Kazakhstan: Assessment of Data Quality—Dimensions 2 to 5—Monetary Statistics

2. Methodological soundness	3. Accuracy and reliability	4. Serviceability	5. Accessibility
Concepts and definitions The analytical framework used in compiling monetary statistics is largely in line with the IMF’s Monetary and Financial Statistics Manual (MFSM). Scope The scope of monetary statistics is also generally in line with the MFSM guidelines. Credit partnerships (have been excluded from monetary statistics because of a change in their regulatory status as financial institutions, but credit partnerships are presently a very small part of the banking system. Classification/sectorization The classification of instruments and sectorization of institutional units also largely conform to the MFSM guidelines. The main exception is that the deposit liabilities of the National Bank of the Republic of Kazakhstan (NBRK) to the National Fund of the Republic of Kazakhstan (NFRK) are not identified as belonging to the central government sector. Basis for recording The basis for recording is broadly in line with the MFSM guidelines. Market exchange rates are now used to convert foreign currency accounts into domestic currency. However, securities held for investment purposes are still not valued at market prices.	Source data The source data from the NBRK and banks’ charts of accounts provide sufficiently detailed information for compiling monetary statistics. A problem involving the residency status of source data has been resolved by collecting supplementary data. Assessment of source data Automated cross-checking of data on a bank-by-bank basis against other data sources is routinely done. Statistical techniques Statistical techniques are sound. Electronic reporting, data processing procedures, and data compilation practices enable the production of accurate and timely monetary statistics. Assessment and validation of intermediate data and statistical outputs The NBRK’s computer system checks balance sheet data against supplementary information and automatically generates error reports of data inconsistencies. Revision studies Revision studies are undertaken by examining banks’ explanations of reclassifications in the source data to highlight reporting issues that may warrant clarification.	Periodicity and timeliness Data periodicity and timeliness follow Special Data Dissemination Standard (SDDS) standards. Consistency Statistics are largely consistent within the dataset and over time. Inconsistencies between monetary and IIP data have been resolved but inconsistencies between monetary and government finance statistics data on bank financing of the government sector remain unresolved. Revision policy and practice Revisions implicitly follow the balance of payments/international investment position (IIP) revision cycle because they are made whenever inconsistencies with IIP data suggest a problem on the monetary side. Revisions are also made when changes occur in the compilation methodology. However, data on NBRK notes by sector are not published when they become available. Studies of revisions are not made public.	Data accessibility Monetary statistics are presented in a clear manner using tables. Methodological notes and definitions of indicators are included in the Russian and Kazakh versions of the NBRK’s Statistical Bulletin. Statistics are released on a pre-announced schedule, made available to users at the same time, and the NBRK’s website has been significantly enhanced in recent years as a medium for disseminating statistics, receiving excellent feedback from users. Metadata accessibility SDDS metadata describes the broad scope, main concepts, and definitions used in compiling monetary statistics. Methodological notes are also presented on the NBRK’s website. The NBRK’s paper publications, website, and SDDS metadata provide alternative levels of detail on compilation methodology. Assistance to users Contact information on monetary statistics is available on the SDDS webpage and in the Statistical Bulletin. Major NBRK publications can be downloaded free of charge from the NBRK website.

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Table 3e

Kazakhstan: Assessment of Data Quality—Dimensions 2 to 5—Monetary Statistics

2. Methodological soundness	3. Accuracy and reliability	4. Serviceability	5. Accessibility
Concepts and definitions The analytical framework used in compiling monetary statistics is largely in line with the IMF’s Monetary and Financial Statistics Manual (MFSM). Scope The scope of monetary statistics is also generally in line with the MFSM guidelines. Credit partnerships (have been excluded from monetary statistics because of a change in their regulatory status as financial institutions, but credit partnerships are presently a very small part of the banking system. Classification/sectorization The classification of instruments and sectorization of institutional units also largely conform to the MFSM guidelines. The main exception is that the deposit liabilities of the National Bank of the Republic of Kazakhstan (NBRK) to the National Fund of the Republic of Kazakhstan (NFRK) are not identified as belonging to the central government sector. Basis for recording The basis for recording is broadly in line with the MFSM guidelines. Market exchange rates are now used to convert foreign currency accounts into domestic currency. However, securities held for investment purposes are still not valued at market prices.	Source data The source data from the NBRK and banks’ charts of accounts provide sufficiently detailed information for compiling monetary statistics. A problem involving the residency status of source data has been resolved by collecting supplementary data. Assessment of source data Automated cross-checking of data on a bank-by-bank basis against other data sources is routinely done. Statistical techniques Statistical techniques are sound. Electronic reporting, data processing procedures, and data compilation practices enable the production of accurate and timely monetary statistics. Assessment and validation of intermediate data and statistical outputs The NBRK’s computer system checks balance sheet data against supplementary information and automatically generates error reports of data inconsistencies. Revision studies Revision studies are undertaken by examining banks’ explanations of reclassifications in the source data to highlight reporting issues that may warrant clarification.	Periodicity and timeliness Data periodicity and timeliness follow Special Data Dissemination Standard (SDDS) standards. Consistency Statistics are largely consistent within the dataset and over time. Inconsistencies between monetary and IIP data have been resolved but inconsistencies between monetary and government finance statistics data on bank financing of the government sector remain unresolved. Revision policy and practice Revisions implicitly follow the balance of payments/international investment position (IIP) revision cycle because they are made whenever inconsistencies with IIP data suggest a problem on the monetary side. Revisions are also made when changes occur in the compilation methodology. However, data on NBRK notes by sector are not published when they become available. Studies of revisions are not made public.	Data accessibility Monetary statistics are presented in a clear manner using tables. Methodological notes and definitions of indicators are included in the Russian and Kazakh versions of the NBRK’s Statistical Bulletin. Statistics are released on a pre-announced schedule, made available to users at the same time, and the NBRK’s website has been significantly enhanced in recent years as a medium for disseminating statistics, receiving excellent feedback from users. Metadata accessibility SDDS metadata describes the broad scope, main concepts, and definitions used in compiling monetary statistics. Methodological notes are also presented on the NBRK’s website. The NBRK’s paper publications, website, and SDDS metadata provide alternative levels of detail on compilation methodology. Assistance to users Contact information on monetary statistics is available on the SDDS webpage and in the Statistical Bulletin. Major NBRK publications can be downloaded free of charge from the NBRK website.

Table 3f

Kazakhstan: Assessment of Data Quality—Dimensions 2 to 5—Balance of Payments Statistics

Table 3f

Kazakhstan: Assessment of Data Quality—Dimensions 2 to 5—Balance of Payments Statistics

2. Methodological soundness	3. Accuracy and reliability	4. Serviceability	5. Accessibility
Concepts and definitions In general, the balance of payments (BOP) of the Republic of Kazakhstan is compiled in concordance with the Balance of Payments Statistics Manual, fifth edition (BPM5). However, the local branches of foreign construction and drilling companies are not considered as resident entities which is not in accordance with the residency concept of the BPM5 and the System of National Accounts 1993 (1993 SNA). Scope All types of transactions between resident and nonresident units are covered. Unrecorded transactions are estimated, with the exception of foreign currencies in cash held by individuals which are not subject to any evaluation. The geographical coverage comprises the territory of the Republic of Kazakhstan. Classification/sectorization The compilation and presentation of the BOP meet BPM5 recommendations for classification and sectorization. Basis for recording In general, transactions are valued at market prices and converted at the exchange rate at the date of the transaction, and stocks of assets and liabilities are recorded on the basis of market value. BOP flows are on an accrual basis, except for dividends on direct and portfolio investment which are recorded at the time they are paid.	Source data The compilation of the BOP is essentially based on two series of data sources. General merchandise trade statistics are obtained from customs data, while other transactions are compiled from surveys carried out by the National Bank of the Republic of Kazakhstan (NBRK). The coverage is very comprehensive and data are reported on a timely fashion. Assessment of source data Verification of data pertain to consistency checks within the survey form, ensuring the quality and reliability of the information provided and further enhanced by linking the data at subsequent levels. Statistical techniques Statistical techniques are used to complete or adjust the source data in several items of the BOP, in particular the current account (adjustments to trade data to account for shuttle trade, estimates of travel, and compensation of employees, migrant transfers). Assessment and validation of intermediate data and statistical outputs Data reported by banks for monetary statistics are reconciled with BOP transactions. Also, the data reported by enterprises are checked against data received within the currency regulation regimes. Revision studies Although BOP statistics are constantly revised, no studies are carried out to assess the initial estimates against revised or final estimate for a given period of time.	Periodicity and timeliness BOP statistics are disseminated quarterly, within one quarter after the reference period, which meets the Special Data Dissemination Standard (SDDS) requirements. Consistency Statistical series are sufficiently detailed to check that data are internally consistent. However, time series are not completely consistent since the shift in responsibility for collecting data of enterprises from the Agency of Statistics of the Republic of Kazakhstan (to the NBRK in 1999. In addition, users cannot completely reconcile BOP/IIP statistics with other data sets such as external debt and national accounts statistics. Revision policy and practice Data are revised twice a year, in October and April. Revisions of data are made for the two preceding years, and full BOP series are published for these two years. Particularly with regard to significant revisions, full explanations of the underlying reasons are published. No distinction is made between preliminary, revised, and final data.	Data accessibility BOP statistics are published in their standard (detailed) and analytic (short) presentations. The data are released on the NBRK’s Internet website. Hard copies of BOP statistics are available monthly in the Statistical Bulletin, quarterly in The Balance of Payments and External Debt of the Republic of Kazakhstan, and in the Annual Report of the NBRK. An advance release calendar that gives the precise release dates for the next twelve months is disseminated on the NBRK’s Internet website (http://www.nationalbank.kz/……) Metadata accessibility Methodological notes are disseminated on the NBRK’s website, and details on the methodology are published in The Balance of Payments and External Debt of the Republic of Kazakhstan. Assistance to users The NBRK’s publications and website indicate the names and references of contact points for each subject field.

View Table

Table 3f

Kazakhstan: Assessment of Data Quality—Dimensions 2 to 5—Balance of Payments Statistics

2. Methodological soundness	3. Accuracy and reliability	4. Serviceability	5. Accessibility
Concepts and definitions In general, the balance of payments (BOP) of the Republic of Kazakhstan is compiled in concordance with the Balance of Payments Statistics Manual, fifth edition (BPM5). However, the local branches of foreign construction and drilling companies are not considered as resident entities which is not in accordance with the residency concept of the BPM5 and the System of National Accounts 1993 (1993 SNA). Scope All types of transactions between resident and nonresident units are covered. Unrecorded transactions are estimated, with the exception of foreign currencies in cash held by individuals which are not subject to any evaluation. The geographical coverage comprises the territory of the Republic of Kazakhstan. Classification/sectorization The compilation and presentation of the BOP meet BPM5 recommendations for classification and sectorization. Basis for recording In general, transactions are valued at market prices and converted at the exchange rate at the date of the transaction, and stocks of assets and liabilities are recorded on the basis of market value. BOP flows are on an accrual basis, except for dividends on direct and portfolio investment which are recorded at the time they are paid.	Source data The compilation of the BOP is essentially based on two series of data sources. General merchandise trade statistics are obtained from customs data, while other transactions are compiled from surveys carried out by the National Bank of the Republic of Kazakhstan (NBRK). The coverage is very comprehensive and data are reported on a timely fashion. Assessment of source data Verification of data pertain to consistency checks within the survey form, ensuring the quality and reliability of the information provided and further enhanced by linking the data at subsequent levels. Statistical techniques Statistical techniques are used to complete or adjust the source data in several items of the BOP, in particular the current account (adjustments to trade data to account for shuttle trade, estimates of travel, and compensation of employees, migrant transfers). Assessment and validation of intermediate data and statistical outputs Data reported by banks for monetary statistics are reconciled with BOP transactions. Also, the data reported by enterprises are checked against data received within the currency regulation regimes. Revision studies Although BOP statistics are constantly revised, no studies are carried out to assess the initial estimates against revised or final estimate for a given period of time.	Periodicity and timeliness BOP statistics are disseminated quarterly, within one quarter after the reference period, which meets the Special Data Dissemination Standard (SDDS) requirements. Consistency Statistical series are sufficiently detailed to check that data are internally consistent. However, time series are not completely consistent since the shift in responsibility for collecting data of enterprises from the Agency of Statistics of the Republic of Kazakhstan (to the NBRK in 1999. In addition, users cannot completely reconcile BOP/IIP statistics with other data sets such as external debt and national accounts statistics. Revision policy and practice Data are revised twice a year, in October and April. Revisions of data are made for the two preceding years, and full BOP series are published for these two years. Particularly with regard to significant revisions, full explanations of the underlying reasons are published. No distinction is made between preliminary, revised, and final data.	Data accessibility BOP statistics are published in their standard (detailed) and analytic (short) presentations. The data are released on the NBRK’s Internet website. Hard copies of BOP statistics are available monthly in the Statistical Bulletin, quarterly in The Balance of Payments and External Debt of the Republic of Kazakhstan, and in the Annual Report of the NBRK. An advance release calendar that gives the precise release dates for the next twelve months is disseminated on the NBRK’s Internet website (http://www.nationalbank.kz/……) Metadata accessibility Methodological notes are disseminated on the NBRK’s website, and details on the methodology are published in The Balance of Payments and External Debt of the Republic of Kazakhstan. Assistance to users The NBRK’s publications and website indicate the names and references of contact points for each subject field.

III. Staff’s Recommendations²

12. Based on the review of Kazakhstan’s statistical practices, discussions with the data producing agencies, and responses from data users (see Appendix III of the Detailed Assessments volume), the mission has a set of recommendations. They are designed to increase further Kazakhstan’s adherence to internationally-accepted statistical practices and would, in the mission’s view, enhance the analytical usefulness of Kazakhstan’s statistics. Some additional technical suggestions are included in the Detailed Assessments volume.