I. Overall Assessment

1. Costa Rica subscribed to the Special Data Dissemination Standard (SDDS) on November 28, 2001 and posted its metadata on the IMF’s Dissemination Standards Bulletin Board (DSBB) on the same day. Costa Rica is in observance of the SDDS, meeting the specifications for coverage, periodicity, timeliness, and the dissemination of advance release calendars. Costa Rica uses flexibility options for periodicity of labor market statistics: employment, unemployment, and wages/earnings. Appendix I provides an overview of Costa Rica’s dissemination practices compared to the SDDS.

2. This Report on the Observance of Standards and Codes (ROSC)—Data Module is a reassessment of the exercise conducted in July 2001 but applies an updated framework. The Report covers national accounts, prices (consumer and producer prices), government finance, monetary and financial, and balance of payments statistics. The National Institute of Statistics and Censuses (INEC) compiles the consumer price index (CPI); the Central Bank of Costa Rica (BCCR) compiles the statistics for national accounts (NA), producer price index (PPI), monetary and financial statistics (MFS), and balance of payments (BOP); and the Ministry of Finance (MOF) compiles the government finance statistics (GFS). Since the assessment in July 2001, major methodological improvements have been accomplished, including the updating of the market basket weights and index benchmark year, as well as revising the compilation methodology for the CPI, adopting a migration path to the production of GFS based on the Government Finance Statistics Manual 2001 (GFSM 2001), adopting a uniform budget classification scheme for the entire public sector, and adopting the IMF standardized report forms for the central bank and other depository corporations (ODCs), which implements the Monetary and Financial Statistics Manual (MFSM). Costa Rica’s macroeconomic statistics are in general timely, of good quality, and broadly adequate for surveillance of economic and financial developments. The INEC, the BCCR, and the MOF have a high degree of quality awareness and have established a good track record of professionalism, transparency, and ethical standards. However, there is scope for improvement in several areas. The legal basis for the responsibility over the compilation of the NA, PPI, and BOP should be clarified, the legal mandate for the collection of data from nonfinancial private sector should be established, coordination among statistical agencies could be enhanced, particularly to ensure consistency across macroeconomic statistics, and further improvements in methodological soundness are needed, notably in the scope for all macroeconomic datasets.

3. In applying the IMF’s Data Quality Assessment Framework (DQAF July 2003), the remainder of this section presents the mission’s main conclusions. The presentation is at the level of the DQAF’s quality dimensions, by agency for the first two dimensions and across datasets for the remaining four.

4. Regarding prerequisites of quality, the responsibilities for collecting, processing, and disseminating statistics for the CPI by the INEC, the GFS by the MOF, and the MFS by the BCCR, are clearly specified in the relevant laws. The legal mandate for the BCCR’s responsibilities for compiling and disseminating the NA, PPI, and BOP are not firmly established. However, in practice, the BCCR’s role in compiling these statistics is well recognized and has never been questioned. The legal framework does not include provisions to mandate reporting from the nonfinancial private sector to the statistical compiling agencies. This has posed challenges for compiling the NA and the BOP. There are generally good working relations among the agencies, although these are not formalized. More frequent data reconciliation between the MOF and the BCCR will improve the consistency of the MFS and GFS. The confidentiality of individual reporter’s data is assured by law and in practice. Staff, facilities, and computer resources are adequate to implement current statistical programs, although further automation of data processing is required for a more efficient use of resources. Additional staff may be needed to undertake new tasks. The increase in staff at the BCCR for compiling the PPI in the context of the BCCR’s restructuring, which was completed at the end of April 2009, will support the planned updating and other improvements in the PPI. Training opportunities for the MOF staff should be increased. Regular consultation with users by the INEC and the MOF will further enhance the relevance of the CPI and GFS. All agencies demonstrate awareness and exert efforts to improve the quality of their statistics. The adoption of formal processes to monitor the quality of the PPI and GFS will further support data improvements.

5. All statistical agencies get high marks in assurances of integrity. Officials and staff of the INEC, the BCCR, and the MOF demonstrate professionalism, transparency, and high ethical standards in producing macroeconomic statistics. Data compilers in these agencies are competent and have actively participated in relevant statistics courses abroad and received on-the-job training by working with international experts. Macroeconomic statistics are compiled in accordance with strict technical considerations and are disseminated without political interference. There are clear ethical guidelines for public servants. The three agencies announce major changes in statistical methodology, data sources, and statistical techniques at the time these are introduced.

6. As regards methodological soundness, the NA, CPI, MFS, and BOP follow international statistical standards, namely the 1993 System of National Accounts (1993 SNA), the Consumer Price Index Manual, MFSM, and Balance of Payments Manual, Fifth Edition (BPM5). Methodological deviations exist for the PPI and GFS. The PPI should be compiled both by product aggregation and economic activity as recommended in the Producer Price Index Manual. Financing data and government debt in the GFS use national concepts not fully consistent with the Government Finance Statistics Manual, 1986 (GFSM 1986). The scope of the data is incomplete for all macroeconomic datasets. Weaknesses in classification and sectorization exist notably in the NA and to a lesser extent in GFS and MFS. The basis for recording could be improved for the BOP, GFS, and MFS.

7. The accuracy and reliability of macroeconomic statistics are generally sound, although source data are limited in all datasets, except for the MFS. A regular program of censuses and economic surveys does not exist and compilers have no access to detailed information available at the tax authority. Data reporting by the private nonfinancial sector is not adequate. The timely implementation of the agreement between INEC and the BCCR, in which INEC will conduct numerous basic data collection activities financed by the BCCR, will greatly address weaknesses in the source data for macroeconomic statistics. Indeed, a preliminary register of institutional units and establishments is now available, which is a tangible output of the collaboration between the INEC and the BCCR. Assessment of source data in all datasets is sound. Significant weaknesses in statistical techniques for the NA have been noted, such as the excessive use of the 1991 fixed coefficients, as well as the poor estimation methods for imputed rental of owner-occupied dwellings, consumption of fixed capital, and changes in inventories. The CPI could be improved by introducing the use of direct quality adjustments. The weights, the establishments, and the product samples for the PPI should be updated at least every seven years. Intermediate data and statistical outputs are validated against other information, although the MFS and GFS data on central government financing are reconciled only once a year. Revision studies are appropriate in all datasets, except for the BOP and the NA. In the case of the BOP, routine studies of revisions is recommended, in addition to the quarterly analysis and validation of surveys that the BOP compilers currently perform. For NA, analysis of revisions are made regularly but studies of long-term trends in revisions are not made.

8. Serviceability of macroeconomic statistics gets high marks. Timeliness and periodicity of all datasets meet and in many cases exceed the requirements of the SDDS. Macroeconomic statistics are consistent within the dataset, over time, and with other major datasets, except for the GFS. Discrepancies exist between the deficit/surplus and financing of the budgetary central government within the GFS. Also, differences exist between the GFS and MFS as regards the banking system’s financing of the budgetary central government. GFS is also not consistent with the BOP because the residency criterion is not followed in GFS for classifying domestic and foreign debt. As regards revision policy and practice, an update to the PPI has not been done in nine years. In the case of the NA, explanations to users on reasons for discrepancies between final and preliminary estimates are given only on special occasions. Revision studies for MFS are prepared only for internal use.

9. Accessibility to macroeconomic statistics is very good. All datasets are readily available to the public through the websites of the INEC, the BCCR, and the MOF. Access to the MOF’s website could be made more user friendly, and analysis of fiscal data would be facilitated by the inclusion of charts and graphs. All macroeconomic datasets are disseminated simultaneously to users based on preannounced schedules, consistent with Costa Rica’s commitment to the SDDS. Metadata with appropriate level of detail are posted on the agencies’ websites and on the IMF’s DSBB. All the agencies provide contact information for each of the dataset, including the names of contacts, telephone numbers, and e-mail addresses. Unpublished, nonconfidential data are made available to users on request.

10. To complement the assessment of the macroeconomic datasets using the DQAF, the mission elicited the views of users of the statistics. With the assistance of the BCCR, a users’ survey was conducted, which generated 56 responses. Overall, users consider the quality of Costa Rica’s macroeconomic statistics good or excellent. A majority of the users are satisfied with the methodological soundness, coverage, and accessibility of official statistics. They were also satisfied, though to a lesser extent, with the level of detail, timeliness, and access to metadata of these statistics. Greater level of detail is desired by some respondents for the NA, BOP, and GFS. Some users deemed the timeliness of statistics, particularly BOP, inadequate. The results of the survey show limited knowledge of users about the availability of advance release calendars. Finally, a large majority of respondents consider Costa Rica’s official statistics to be of the same or better quality than those from other countries in the region.

11. 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.

II. Assessment by Agency and Dataset

12. Assessment of the quality of six macroeconomic datasets—national accounts, consumer price index, producer price index, government finance, monetary, and balance of payments statistics—were conducted using the DQAF, July 2003. 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.

Costa Rica Data Quality Assessment Framework July 2003—Summary Results

Key to symbols: O = Practice Observed; LO = Practice Largely Observed; LNO = Practice Largely Not Observed; NO = Practice Not Observed; NA = Not Applicable

Practice observed: Current practices generally 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.

Costa Rica Data Quality Assessment Framework July 2003—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		LO	O	LO	LO	O	LO
0.2 Resources		O	O	LO	LO	LO	O
0.3 Relevance		O	LO	O	LO	O	O
0.4 Other quality management		O	O	LO	LO	O	O
1. Assurances of integrity
1.1 Professionalism		O	O	O	O	O	O
1.2 Transparency		O	O	O	O	O	O
1.3 Ethical standards		O	O	O	O	O	O
2. Methodological soundness
2.1 Concepts and definitions		O	O	LO	LO	O	O
2.2 Scope		LO	LO	LO	LNO	LO	LO
2.3 Classification/sectorization		LNO	O	O	LO	LO	O
2.4 Basis for recording		O	O	O	LO	LO	LO
3. Accuracy and reliability
3.1 Source data		LO	LO	LO	LO	O	LO
3.2 Assessment of source data		O	O	O	O	O	O
3.3 Statistical techniques		LNO	LO	LO	O	O	LO
3.4 Assessment and validation of intermediate data and statistical outputs		O	LO	O	LO	LO	O
3.5 Revision studies		LO	O	O	O	O	LNO
4. Serviceability
4.1 Periodicity and timeliness		O	O	O	O	O	O
4.2 Consistency		O	O	O	LNO	LO	O
4.3 Revision policy and practice		LO	O	LNO	O	LO	LO
5. Accessibility
5.1 Data accessibility		O	O	O	LO	O	O
5.2 Metadata accessibility		O	O	O	LO	O	O
5.3 Assistance to users		O	O	O	O	O	O

Practice observed: Current practices generally 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.

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Table 1.

Costa Rica Data Quality Assessment Framework July 2003—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		LO	O	LO	LO	O	LO
0.2 Resources		O	O	LO	LO	LO	O
0.3 Relevance		O	LO	O	LO	O	O
0.4 Other quality management		O	O	LO	LO	O	O
1. Assurances of integrity
1.1 Professionalism		O	O	O	O	O	O
1.2 Transparency		O	O	O	O	O	O
1.3 Ethical standards		O	O	O	O	O	O
2. Methodological soundness
2.1 Concepts and definitions		O	O	LO	LO	O	O
2.2 Scope		LO	LO	LO	LNO	LO	LO
2.3 Classification/sectorization		LNO	O	O	LO	LO	O
2.4 Basis for recording		O	O	O	LO	LO	LO
3. Accuracy and reliability
3.1 Source data		LO	LO	LO	LO	O	LO
3.2 Assessment of source data		O	O	O	O	O	O
3.3 Statistical techniques		LNO	LO	LO	O	O	LO
3.4 Assessment and validation of intermediate data and statistical outputs		O	LO	O	LO	LO	O
3.5 Revision studies		LO	O	O	O	O	LNO
4. Serviceability
4.1 Periodicity and timeliness		O	O	O	O	O	O
4.2 Consistency		O	O	O	LNO	LO	O
4.3 Revision policy and practice		LO	O	LNO	O	LO	LO
5. Accessibility
5.1 Data accessibility		O	O	O	LO	O	O
5.2 Metadata accessibility		O	O	O	LO	O	O
5.3 Assistance to users		O	O	O	O	O	O

Practice observed: Current practices generally 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.

Costa Rica Assessment of Data Quality—Dimensions 0 and 1—National Institute of Statistics and Censuses (INEC)

Table 2a.

Costa Rica Assessment of Data Quality—Dimensions 0 and 1—National Institute of Statistics and Censuses (INEC)

0. Prerequisites of quality

1. Assurances of integrity

Legal and institutional environment The INEC operates under a legal framework that is adequate for its current responsibilities for compiling the CPI. The legislation supporting its activities is established in Law 7839 of 1998, which gives it legal authority for overseeing and coordinating the National Statistical System (SEN). Under the terms of this law, the INEC is to compile the national accounts and the PPI. However, the subsequent transfer of responsibility for the national accounts to the INEC was rescinded. Subsequently in 2008, a memorandum of agreement was subscribed between the BCCR and the INEC, through which the INEC will be in charge of basic data collection activities for national accounts and PPI, while the BCCR will continue to be responsible for compiling these datasets. Formal working arrangements are in place that are consistent with the assignment of responsibility between the INEC and the BCCR. Reporting by the private sector to the INEC is not mandated under the law. The law and the INEC’s established practices provide adequate assurances in safeguarding data confidentiality. Resources The INEC’s staff and computing resources, as well as physical facilities, are adequate for the production of the CPI. Relevance There is no formal and regular process for consulting with users to obtain information on specific needs and reactions to the CPI. In the recent CPI revision, an informal working group, consisting of data users from the government and the academic community, was established to obtain feedback on index compilation methodology. The INEC is developing a National Statistical Development Plan funded by the World Bank. The Plan envisages the creation of an advisory group for the official statistical series. Other quality management There is great awareness within the INEC of the need to produce quality products as a means of enhancing institutional image and maintaining public confidence. The update of the market basket weights and methodological procedures for CPI compilation reflect this effort. Recently, the INEC sponsored a symposium where about 30 papers were presented, using data from the National Income and Expenditure Survey (ENIG) prepared by the INEC staff, academia, and other researchers. The INEC’s vision, mission statement, and guiding principles, emphasizing dimensions of data quality are posted on its website.

Professionalism The INEC nurtures a culture of professionalism among its staff as reflected in various documents posted on its website. The INEC has independence to determine the methodology, release dates, design of surveys, and definitions used. Data gathering is objective and impartial. The sources and methods used are determined by sound statistical methodologies. The INEC is entitled to comment on erroneous interpretation and misuse of the data. The INEC’s manager is appointed by the Board of Directors, which is made up of representatives from various sectors of the society, as established under the law. The INEC’s staff are appointed through a competitive process based on professional qualifications. Transparency The terms and conditions under which the statistics are produced and disseminated are determined in the Law 7839, which is publicly available. No one outside of the INEC has prior access to the CPI before it is released. The recent updating of the CPI basket and the compilation methodology are well documented and posted on INEC’s website. Methodological changes are announced with the data at the time the changes are introduced. Ethical standards The INEC’s service regulations establish the standards of behavior for its staff (Title V, Chapter 1). These are made known to staff in orientation sessions when they join the INEC and are periodically reviewed in monthly bulletins issued by the INEC Human Resources Unit.

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Table 2a.

Costa Rica Assessment of Data Quality—Dimensions 0 and 1—National Institute of Statistics and Censuses (INEC)

0. Prerequisites of quality

1. Assurances of integrity

Legal and institutional environment The INEC operates under a legal framework that is adequate for its current responsibilities for compiling the CPI. The legislation supporting its activities is established in Law 7839 of 1998, which gives it legal authority for overseeing and coordinating the National Statistical System (SEN). Under the terms of this law, the INEC is to compile the national accounts and the PPI. However, the subsequent transfer of responsibility for the national accounts to the INEC was rescinded. Subsequently in 2008, a memorandum of agreement was subscribed between the BCCR and the INEC, through which the INEC will be in charge of basic data collection activities for national accounts and PPI, while the BCCR will continue to be responsible for compiling these datasets. Formal working arrangements are in place that are consistent with the assignment of responsibility between the INEC and the BCCR. Reporting by the private sector to the INEC is not mandated under the law. The law and the INEC’s established practices provide adequate assurances in safeguarding data confidentiality. Resources The INEC’s staff and computing resources, as well as physical facilities, are adequate for the production of the CPI. Relevance There is no formal and regular process for consulting with users to obtain information on specific needs and reactions to the CPI. In the recent CPI revision, an informal working group, consisting of data users from the government and the academic community, was established to obtain feedback on index compilation methodology. The INEC is developing a National Statistical Development Plan funded by the World Bank. The Plan envisages the creation of an advisory group for the official statistical series. Other quality management There is great awareness within the INEC of the need to produce quality products as a means of enhancing institutional image and maintaining public confidence. The update of the market basket weights and methodological procedures for CPI compilation reflect this effort. Recently, the INEC sponsored a symposium where about 30 papers were presented, using data from the National Income and Expenditure Survey (ENIG) prepared by the INEC staff, academia, and other researchers. The INEC’s vision, mission statement, and guiding principles, emphasizing dimensions of data quality are posted on its website.

Professionalism The INEC nurtures a culture of professionalism among its staff as reflected in various documents posted on its website. The INEC has independence to determine the methodology, release dates, design of surveys, and definitions used. Data gathering is objective and impartial. The sources and methods used are determined by sound statistical methodologies. The INEC is entitled to comment on erroneous interpretation and misuse of the data. The INEC’s manager is appointed by the Board of Directors, which is made up of representatives from various sectors of the society, as established under the law. The INEC’s staff are appointed through a competitive process based on professional qualifications. Transparency The terms and conditions under which the statistics are produced and disseminated are determined in the Law 7839, which is publicly available. No one outside of the INEC has prior access to the CPI before it is released. The recent updating of the CPI basket and the compilation methodology are well documented and posted on INEC’s website. Methodological changes are announced with the data at the time the changes are introduced. Ethical standards The INEC’s service regulations establish the standards of behavior for its staff (Title V, Chapter 1). These are made known to staff in orientation sessions when they join the INEC and are periodically reviewed in monthly bulletins issued by the INEC Human Resources Unit.

Table 2b.

Costa Rica Assessment of Data Quality—Dimensions 0 and 1—Central Bank of Costa Rica (BCCR)

Table 2b.

Costa Rica Assessment of Data Quality—Dimensions 0 and 1—Central Bank of Costa Rica (BCCR)

0. Prerequisites of quality

1. Assurances of integrity

Legal and institutional environment Article 14(d) of the Organic Law of the Central Bank of Costa Rica (Law 7558) mandates dissemination of macroeconomic statistics, including at a minimum production, prices, monetary aggregates, credit, exports, imports, and international reserves. However, the law does not specify compilation responsibilities other than for monetary data. Filling a legal void indicating clear assignments of compilation responsibilities, the BCCR compiles and disseminates national accounts, balance of payments, and producer price statistics. Regarding monetary data, article 17 of the Organic Law of the National Banking System (Law 1644) requires all banks to submit to the Superintendency of Financial Entities (SUGEF) their financial statements and any other data requested by SUGEF. Provisions included in articles 14(f) and 132 of Law 7558 protect the confidentiality of individual data, with related provisions communicated to data suppliers. The legal framework requires the public sector to provide to the BCCR the statistical information it requires; but not so for the private nonfinancial sector, which has no obligation to provide information asked by the BCCR. This causes data collection problems particularly for the national accounts and balance of payments. Coordination within the units of the BCCR is adequate, as well as with SUGEF and other agencies of the public sector. Resources In general, statistical units have adequate staff, financial, and computing resources, although new activities are constantly creating demand for additional resources. Data compilers at the BCCR are well trained in statistical methodologies and other relevant areas. Additional resources needed for the updating of the reference year for the national accounts and producer price statistics have already been taken into account in the budgetary allocation. A source of pressure in the future may be the monitoring of the financial system. Some monetary data are still being inputted manually, and there are no processes in place for automated cross-checking of monetary data. A standardized cost control system by homogeneous products provides clear information to the authorities, facilitating the adoption of budget allocation decisions. Relevance Although there is no formal mechanism to consult users about their data needs, the BCCR evaluates the requests received through its website to improve its statistical products. In 2003, the BCCR conducted a satisfaction survey of internal and external users to evaluate the quality of its services, including its statistical products. Several dimensions were evaluated, such as response time, service to clients, professionalism, organization, etc. A similar survey is underway at the time of the ROSC data module mission. Other quality management High regard for quality is reflected in the BCCR’s strategic planning system, focused on quality assurances and analysis of trade-offs among its different dimensions, which is regularly evaluated against constraints and budget priorities. BCCR supports staff training, participation in international meetings, and pursuit of higher-level education.

Professionalism Professionalism is ensured by a range of measures. Law 7558 gives technical independence and autonomy to the staff of the BCCR. Staff involved in compiling macroeconomic statistics are encouraged to enhance their professionalism through participation in external courses and on-the-job training by working with international experts. Considerations for advancement depend not only on productivity and efficiency but also on professionalism. Compilation methodology and processes are based on technical criteria, with compilers free of outside interference. When statistics are misinterpreted or misused, the BCCR provides clarifications as needed. Transparency The terms and conditions under which the statistics are produced and disseminated are on the BCCR’s website, with a link to the IMF’s DSBB. There is no prior access to statistics before they are published. Changes in methodology, source data, or statistical techniques are announced with the data at the time they are introduced. Ethical standards Standards for staff behavior are contained in the Autonomous Regulations on Services of the BCCR and the Guideline on Impartiality, Objectivity, and Probity of the Staff of the BCCR, which are available on the Intranet of the institution. These Guidelines establish rights, prohibitions, and penalties for failure to meet these standards. Staff are aware of them.

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Table 2b.

Costa Rica Assessment of Data Quality—Dimensions 0 and 1—Central Bank of Costa Rica (BCCR)

0. Prerequisites of quality

1. Assurances of integrity

Legal and institutional environment Article 14(d) of the Organic Law of the Central Bank of Costa Rica (Law 7558) mandates dissemination of macroeconomic statistics, including at a minimum production, prices, monetary aggregates, credit, exports, imports, and international reserves. However, the law does not specify compilation responsibilities other than for monetary data. Filling a legal void indicating clear assignments of compilation responsibilities, the BCCR compiles and disseminates national accounts, balance of payments, and producer price statistics. Regarding monetary data, article 17 of the Organic Law of the National Banking System (Law 1644) requires all banks to submit to the Superintendency of Financial Entities (SUGEF) their financial statements and any other data requested by SUGEF. Provisions included in articles 14(f) and 132 of Law 7558 protect the confidentiality of individual data, with related provisions communicated to data suppliers. The legal framework requires the public sector to provide to the BCCR the statistical information it requires; but not so for the private nonfinancial sector, which has no obligation to provide information asked by the BCCR. This causes data collection problems particularly for the national accounts and balance of payments. Coordination within the units of the BCCR is adequate, as well as with SUGEF and other agencies of the public sector. Resources In general, statistical units have adequate staff, financial, and computing resources, although new activities are constantly creating demand for additional resources. Data compilers at the BCCR are well trained in statistical methodologies and other relevant areas. Additional resources needed for the updating of the reference year for the national accounts and producer price statistics have already been taken into account in the budgetary allocation. A source of pressure in the future may be the monitoring of the financial system. Some monetary data are still being inputted manually, and there are no processes in place for automated cross-checking of monetary data. A standardized cost control system by homogeneous products provides clear information to the authorities, facilitating the adoption of budget allocation decisions. Relevance Although there is no formal mechanism to consult users about their data needs, the BCCR evaluates the requests received through its website to improve its statistical products. In 2003, the BCCR conducted a satisfaction survey of internal and external users to evaluate the quality of its services, including its statistical products. Several dimensions were evaluated, such as response time, service to clients, professionalism, organization, etc. A similar survey is underway at the time of the ROSC data module mission. Other quality management High regard for quality is reflected in the BCCR’s strategic planning system, focused on quality assurances and analysis of trade-offs among its different dimensions, which is regularly evaluated against constraints and budget priorities. BCCR supports staff training, participation in international meetings, and pursuit of higher-level education.

Professionalism Professionalism is ensured by a range of measures. Law 7558 gives technical independence and autonomy to the staff of the BCCR. Staff involved in compiling macroeconomic statistics are encouraged to enhance their professionalism through participation in external courses and on-the-job training by working with international experts. Considerations for advancement depend not only on productivity and efficiency but also on professionalism. Compilation methodology and processes are based on technical criteria, with compilers free of outside interference. When statistics are misinterpreted or misused, the BCCR provides clarifications as needed. Transparency The terms and conditions under which the statistics are produced and disseminated are on the BCCR’s website, with a link to the IMF’s DSBB. There is no prior access to statistics before they are published. Changes in methodology, source data, or statistical techniques are announced with the data at the time they are introduced. Ethical standards Standards for staff behavior are contained in the Autonomous Regulations on Services of the BCCR and the Guideline on Impartiality, Objectivity, and Probity of the Staff of the BCCR, which are available on the Intranet of the institution. These Guidelines establish rights, prohibitions, and penalties for failure to meet these standards. Staff are aware of them.

Table 2c.

Costa Rica Assessment of Data Quality—Dimensions 0 and 1—Ministry of Finance

Table 2c.

Costa Rica Assessment of Data Quality—Dimensions 0 and 1—Ministry of Finance

0. Prerequisites of quality

1. Assurances of integrity

Legal and institutional environment Law 8131 and its implementing decree assign the responsibility for compiling GFS to the MOF, and more specifically to the Technical Secretariat of the Budgetary Authority for government operations and to the Department of Public Credit for debt. The law also requires all public sector entities to provide the economic and financial information requested by the MOF. Confidentiality of data is ensured under Law 7839. A Financial Management Coordination Committee, composed of senior officers from various areas of the MOF, meets monthly. Coordination between the MOF and the BCCR could be improved. Resources Work on GFS is limited by the number of staff currently available. Additional staff may be needed to undertake new initiatives. Most staff are trained in the GFSM 2001. Departure of trained staff for higher paying jobs outside the MOF could hamper compilation work. Computing and physical resources are adequate. Relevance There is no formal consultation process with users to assess the usefulness of the statistics compiled. However, the needs of major official users play a key role in determining the data compiled and disseminated. Fiscal statistics are a part of the budget process and are used by policy makers. Other quality management Quality is a main concern in the GFS production. However, no formal processes are in place to monitor the quality of the statistics compiled and disseminated, or to deal with quality issues in the statistical program. The importance attached to data quality is reflected in the commitment of resources to automate various data collection and processing tasks. Costa Rica is participating in a GFS harmonization project for Central America, Panama, and the Dominican Republic. This project aims to harmonize GFS in the region based on the framework of the GFSM 2001.

Professionalism The compilation of fiscal statistics is supported by Law 8131 and Law 7839. Furthermore, there are informal safeguards ensuring professional independence, because the MOF has a culture of political noninterference in technical tasks. The selection of data sources and the decisions to disseminate data are based solely on statistical considerations. The compilers of fiscal statistics are empowered to provide specialized advice on technical aspects of the statistics, and senior officials make comments on erroneous interpretation or misuse of the statistics. Transparency Laws and regulations governing the compilation and dissemination of GFS are freely available to the public. No government officials outside the MOF have access to the data before they are released to the public, and the data are made available simultaneously to all interested parties. Methodological changes are announced with the data at the time the changes are introduced. Ethical standards There are clear guidelines on the ethical principles of public servants, among them the duty to issue objective judgments free of third party influence. A strong culture of political non-interference helps promote high ethical standards.

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Table 2c.

Costa Rica Assessment of Data Quality—Dimensions 0 and 1—Ministry of Finance

0. Prerequisites of quality

1. Assurances of integrity

Legal and institutional environment Law 8131 and its implementing decree assign the responsibility for compiling GFS to the MOF, and more specifically to the Technical Secretariat of the Budgetary Authority for government operations and to the Department of Public Credit for debt. The law also requires all public sector entities to provide the economic and financial information requested by the MOF. Confidentiality of data is ensured under Law 7839. A Financial Management Coordination Committee, composed of senior officers from various areas of the MOF, meets monthly. Coordination between the MOF and the BCCR could be improved. Resources Work on GFS is limited by the number of staff currently available. Additional staff may be needed to undertake new initiatives. Most staff are trained in the GFSM 2001. Departure of trained staff for higher paying jobs outside the MOF could hamper compilation work. Computing and physical resources are adequate. Relevance There is no formal consultation process with users to assess the usefulness of the statistics compiled. However, the needs of major official users play a key role in determining the data compiled and disseminated. Fiscal statistics are a part of the budget process and are used by policy makers. Other quality management Quality is a main concern in the GFS production. However, no formal processes are in place to monitor the quality of the statistics compiled and disseminated, or to deal with quality issues in the statistical program. The importance attached to data quality is reflected in the commitment of resources to automate various data collection and processing tasks. Costa Rica is participating in a GFS harmonization project for Central America, Panama, and the Dominican Republic. This project aims to harmonize GFS in the region based on the framework of the GFSM 2001.

Professionalism The compilation of fiscal statistics is supported by Law 8131 and Law 7839. Furthermore, there are informal safeguards ensuring professional independence, because the MOF has a culture of political noninterference in technical tasks. The selection of data sources and the decisions to disseminate data are based solely on statistical considerations. The compilers of fiscal statistics are empowered to provide specialized advice on technical aspects of the statistics, and senior officials make comments on erroneous interpretation or misuse of the statistics. Transparency Laws and regulations governing the compilation and dissemination of GFS are freely available to the public. No government officials outside the MOF have access to the data before they are released to the public, and the data are made available simultaneously to all interested parties. Methodological changes are announced with the data at the time the changes are introduced. Ethical standards There are clear guidelines on the ethical principles of public servants, among them the duty to issue objective judgments free of third party influence. A strong culture of political non-interference helps promote high ethical standards.

Table 3a.

Costa Rica Assessment of Data Quality—Dimensions 2 to 5—National Accounts

Table 3a.

Costa Rica Assessment of Data Quality—Dimensions 2 to 5—National Accounts

2. Methodological soundness	3. Accuracy and reliability	4. Serviceability	5. Accessibility
Concepts and definitions National accounts are compiled generally in accordance with the 1993 SNA. Scope Annual GDP is compiled by production and expenditure approaches at current and constant prices, and by income approach at current prices. Quarterly GDP is compiled by expenditure approach at current and constant prices, but by production approach only at constant prices. The scope includes also annual supply and use tables, and the sequence of accounts up to the capital account for the total economy. Production and assets boundaries are in line with the 1993 SNA, with some exceptions, such as the non-inclusion of illegal activities. Classification/sectorization ISIC rev. 2 is used instead of the more updated revisions (ISIC rev. 3.1 or rev. 4) for classifying producers by economic activities. COFOG is not applied to classify government expenditure by functions and COICOP is not applied for classifying households’ final consumption by purposes. The national product classification is based on Central Product Classification (CPC). Basis for recording The 1993 SNA valuation principles on transactions are generally followed with a few small exceptions, particularly in some rest of the world transactions.	Source data Data sources are limited in scope for annual accounts and more so for quarterly GDP. Nevertheless, the BCCR’s database has improved, notably the availability of a new directory of institutional units and establishments, and the conduct of the 2004/2005 ENIG. Assessment of source data Appropriate measures are taken to validate source data against available information. Consistency of survey results is carefully reviewed. Statistical techniques Reference year is outdated. Excessive use is made of the 1991 fixed coefficients. Estimation of rentals for owner occupied dwellings should be improved. Accounting depreciation is used instead of estimating consumption of fixed capital. Double deflation method is not applied. Changes in inventories are obtained as residuals and the Chow Lin (without indicator) method is applied for benchmarking quarterly value added of activities, comprising a third of GDP. Non-observed/informal activities are not properly covered. Assessment and validation of intermediate data and statistical outputs Intermediate data and outputs are assessed and validated against available information. Revision studies Analysis of revisions are conducted regularly, but studies of long–term trends in the revision pattern are not made.	Periodicity and timeliness Preliminary GDP data meet SDDS recommendations on periodicity and timeliness. Consistency The national accounts time series with reference year 1991 have been consistent. The series were linked with the 1966-based series. Internal consistency of estimates is verified in the framework of supply-and-use tables. National accounts and balance of payment are generally consistent with a difference that is reconcilable. Revision policy and practice The schedule for revisions and dissemination of annual data is not made public. However, they follow a stable pattern over time, well known to users. Preliminary data are clearly identified in the tables. Explanations to users regarding differences between final and preliminary estimates are given in exceptional occasions. Analysis of revisions are generally not provided to the public.	Data accessibility Detailed national accounts estimates in time series are disseminated in the BCCR’s website. An advance calendar for quarterly GDP is also shown on the website. An internal advance calendar for annual data is used but not provided to the public. However, dissemination follows a stable pattern well known to users. No government officials have access to national accounts data before they are disseminated. Nondisseminated data are provided upon request, when available, and with confidentiality of individual data protected. Metadata accessibility Metadata for national accounts are posted on the BCCR’s website. They are also available in hard copy at the BCCR’s Information Center. Assistance to users The name, telephone number and e-mail address of contact persons are posted on the BCCR website and the DSBB. Information on the BCCR’s documents and services is available on the BCCR’s website and Information Center.

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Table 3a.

Costa Rica Assessment of Data Quality—Dimensions 2 to 5—National Accounts

2. Methodological soundness	3. Accuracy and reliability	4. Serviceability	5. Accessibility
Concepts and definitions National accounts are compiled generally in accordance with the 1993 SNA. Scope Annual GDP is compiled by production and expenditure approaches at current and constant prices, and by income approach at current prices. Quarterly GDP is compiled by expenditure approach at current and constant prices, but by production approach only at constant prices. The scope includes also annual supply and use tables, and the sequence of accounts up to the capital account for the total economy. Production and assets boundaries are in line with the 1993 SNA, with some exceptions, such as the non-inclusion of illegal activities. Classification/sectorization ISIC rev. 2 is used instead of the more updated revisions (ISIC rev. 3.1 or rev. 4) for classifying producers by economic activities. COFOG is not applied to classify government expenditure by functions and COICOP is not applied for classifying households’ final consumption by purposes. The national product classification is based on Central Product Classification (CPC). Basis for recording The 1993 SNA valuation principles on transactions are generally followed with a few small exceptions, particularly in some rest of the world transactions.	Source data Data sources are limited in scope for annual accounts and more so for quarterly GDP. Nevertheless, the BCCR’s database has improved, notably the availability of a new directory of institutional units and establishments, and the conduct of the 2004/2005 ENIG. Assessment of source data Appropriate measures are taken to validate source data against available information. Consistency of survey results is carefully reviewed. Statistical techniques Reference year is outdated. Excessive use is made of the 1991 fixed coefficients. Estimation of rentals for owner occupied dwellings should be improved. Accounting depreciation is used instead of estimating consumption of fixed capital. Double deflation method is not applied. Changes in inventories are obtained as residuals and the Chow Lin (without indicator) method is applied for benchmarking quarterly value added of activities, comprising a third of GDP. Non-observed/informal activities are not properly covered. Assessment and validation of intermediate data and statistical outputs Intermediate data and outputs are assessed and validated against available information. Revision studies Analysis of revisions are conducted regularly, but studies of long–term trends in the revision pattern are not made.	Periodicity and timeliness Preliminary GDP data meet SDDS recommendations on periodicity and timeliness. Consistency The national accounts time series with reference year 1991 have been consistent. The series were linked with the 1966-based series. Internal consistency of estimates is verified in the framework of supply-and-use tables. National accounts and balance of payment are generally consistent with a difference that is reconcilable. Revision policy and practice The schedule for revisions and dissemination of annual data is not made public. However, they follow a stable pattern over time, well known to users. Preliminary data are clearly identified in the tables. Explanations to users regarding differences between final and preliminary estimates are given in exceptional occasions. Analysis of revisions are generally not provided to the public.	Data accessibility Detailed national accounts estimates in time series are disseminated in the BCCR’s website. An advance calendar for quarterly GDP is also shown on the website. An internal advance calendar for annual data is used but not provided to the public. However, dissemination follows a stable pattern well known to users. No government officials have access to national accounts data before they are disseminated. Nondisseminated data are provided upon request, when available, and with confidentiality of individual data protected. Metadata accessibility Metadata for national accounts are posted on the BCCR’s website. They are also available in hard copy at the BCCR’s Information Center. Assistance to users The name, telephone number and e-mail address of contact persons are posted on the BCCR website and the DSBB. Information on the BCCR’s documents and services is available on the BCCR’s website and Information Center.

Table 3b.

Costa Rica Assessment of Data Quality—Dimensions 2 to 5—Consumer Price Index

Table 3b.

Costa Rica 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 compilation of the CPI, in general, employs concepts and definitions in the 1993 SNA and the international CPI manual. Scope The CPI lacks a market basket component to measure the cost of owner-occupied housing. Also, the index only covers those urban households located in greater San Jose, which comprise approximately 46 percent of the total population and 72 percent of the urban population of Costa Rica. Classification/sectorization The national classification system used for the CPI is based on the COICOP. The national classification system is easily mapped into the international version of COICOP. Basis for recording The prices used correspond to market prices paid by households (deducting discounts and rebates, and including all taxes levied on the products), which is in accordance with international standards.	Source data Only 59 percent of total household expenditures and 78 percent of urban household expenditures are covered by the CPI market basket weights. The items and weights for the CPI market basket are derived from the ENIG. The ENIG covers approximately 5,200 private households of all socioeconomic groups. Approximately 14,200 prices are collected each month from 1,840 outlets in 114 urban districts of greater San Jose. Assessment of source data Price and product specification data collected for the monthly price survey, as well as expenditure data collected for the ENIG, are verified and processed using internationally recommended procedures. Statistical techniques The CPI is compiled using the short-term formulation of the Laspeyres index formula. Geometric means are used for elementary aggregates. Missing prices are imputed using observed price changes from other outlets and/or other varieties. Replacement items and or varieties are introduced as needed. Direct quality adjustments are not generally made, except for adjustments in quantities of the product. Assessment and validation of intermediate data and statistical outputs Individual price index data are not generally verified against similar data from other databases such as the PPI and agricultural price indices. Nevertheless, atypical movements in these index data are investigated and corrected when necessary. Revision studies A comprehensive assessment of the source data is being carried out, and this is guiding the production of new source data to update the PPI and the national accounts.	Periodicity and timeliness The CPI is published on a monthly basis on the second workday after the end of the month, meeting SDDS requirements. Consistency Time series linking the old CPI to the new CPI at the aggregate level are compiled and available on INEC’s website. Revision policy and practice The market basket items and weights were updated (revised) in July 2006. The index compilation methodology was also updated. Revision studies are published and available on INEC’s website.	Data accessibility Data are disseminated regularly in detail and in time series, according to a well established production and release schedule, through a monthly publication, a press release, and by electronic means. Presentation of the data is appropriate and easy to interpret by the users. INEC’s website is user friendly and comprehensive. Metadata accessibility Comprehensive metadata on the CPI are available in hard copy and on INEC’s website in various formats and levels of detail. Assistance to users INEC has an information center that provides assistance to users. Address, telephone number, fax number, and e-mail address are indicated on the INEC’s website.

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Table 3b.

Costa Rica 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 compilation of the CPI, in general, employs concepts and definitions in the 1993 SNA and the international CPI manual. Scope The CPI lacks a market basket component to measure the cost of owner-occupied housing. Also, the index only covers those urban households located in greater San Jose, which comprise approximately 46 percent of the total population and 72 percent of the urban population of Costa Rica. Classification/sectorization The national classification system used for the CPI is based on the COICOP. The national classification system is easily mapped into the international version of COICOP. Basis for recording The prices used correspond to market prices paid by households (deducting discounts and rebates, and including all taxes levied on the products), which is in accordance with international standards.	Source data Only 59 percent of total household expenditures and 78 percent of urban household expenditures are covered by the CPI market basket weights. The items and weights for the CPI market basket are derived from the ENIG. The ENIG covers approximately 5,200 private households of all socioeconomic groups. Approximately 14,200 prices are collected each month from 1,840 outlets in 114 urban districts of greater San Jose. Assessment of source data Price and product specification data collected for the monthly price survey, as well as expenditure data collected for the ENIG, are verified and processed using internationally recommended procedures. Statistical techniques The CPI is compiled using the short-term formulation of the Laspeyres index formula. Geometric means are used for elementary aggregates. Missing prices are imputed using observed price changes from other outlets and/or other varieties. Replacement items and or varieties are introduced as needed. Direct quality adjustments are not generally made, except for adjustments in quantities of the product. Assessment and validation of intermediate data and statistical outputs Individual price index data are not generally verified against similar data from other databases such as the PPI and agricultural price indices. Nevertheless, atypical movements in these index data are investigated and corrected when necessary. Revision studies A comprehensive assessment of the source data is being carried out, and this is guiding the production of new source data to update the PPI and the national accounts.	Periodicity and timeliness The CPI is published on a monthly basis on the second workday after the end of the month, meeting SDDS requirements. Consistency Time series linking the old CPI to the new CPI at the aggregate level are compiled and available on INEC’s website. Revision policy and practice The market basket items and weights were updated (revised) in July 2006. The index compilation methodology was also updated. Revision studies are published and available on INEC’s website.	Data accessibility Data are disseminated regularly in detail and in time series, according to a well established production and release schedule, through a monthly publication, a press release, and by electronic means. Presentation of the data is appropriate and easy to interpret by the users. INEC’s website is user friendly and comprehensive. Metadata accessibility Comprehensive metadata on the CPI are available in hard copy and on INEC’s website in various formats and levels of detail. Assistance to users INEC has an information center that provides assistance to users. Address, telephone number, fax number, and e-mail address are indicated on the INEC’s website.

Table 3c.

Costa Rica Assessment of Data Quality—Dimensions 2 to 5—Producer Price Index

Table 3c.

Costa Rica 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 Except for being compiled only by product aggregations and not by economic activity as well, the PPI is compiled based on concepts and definitions in the 1993 SNA and the international PPI Manual. Scope Although the production of export goods is not included in the index, the PPI covers the entire manufacturing sector, including divisions 15-37 of the ISIC Rev. 3. Classification/sectorization Economic activities are classified using ISIC Rev. 3, and products are classified using the Central Product Classification, consistent with international standards. Basis for recording In accordance with international recommendations, factory gate prices are obtained from a monthly survey of producers, and do not include taxes, transportation costs, and insurance fees. Also in line with international recommendations, prices are determined for a specific product and not for unit values.	Source data There are few regular comprehensive industrial surveys that can be used to update the weights, the product sample, and the establishment sample for the PPI. However, plans are well underway to resolve this problem. As a first step, a draft of the new business register is now available. Monthly prices are collected for 790 product specifications in 179 establishments for the current PPI. Assessment of source data Price data for the PPI are thoroughly assessed. Atypical responses are verified and corrected when appropriate. Also the sales data used for determining the weights are thoroughly evaluated for consistency with national accounts data. Statistical techniques The weights, the establishment sample, and the product sample for the PPI that were introduced in 2000 are based on 1997 sales data. The index needs updating. Imputation of missing prices is carried out based on the price movement for similar products within the same establishment or prices for the same product across establishments. In some cases, average price change for the ISIC class group or division is used. Assessment and validation of intermediate data and statistical outputs The PPI index data are validated by comparing these data with corresponding index data from the CPI. Atypical index movements are evaluated and corrected as appropriate. Revision studies A comprehensive assessment of the source data is being carried out, and this is guiding the production of new source data to update the PPI and the national accounts.	Periodicity and timeliness The PPI is published on a monthly basis on the fifth working day after the end of the month, meeting SDDS requirements. Consistency Consistent long-term time series have been constructed for the 19 ISIC Rev. 3 divisions by linking the 1991-based PPI to the December 1999-based series. Revision policy and practice Updates (revisions) to the PPI are not done on a regular basis. It is expected that the index will be updated in 2010. The last update to the index was in 2000. The monthly PPI is final upon its first release.	Data accessibility Data are disseminated regularly in detail and in time series, according to a well established production and release schedule, through a monthly publication, and by electronic means. Presentation of the data is appropriate and yields to easy interpretation by users. Data are released simultaneously to all users on the BCCR’s website. Metadata accessibility A detailed document covering the methodology for compiling the PPI is available on the BCCR’s website. Assistance to users The BCCR’s website provides contact information for each PPI table. This includes the names and telephone numbers of the persons responsible for the dissemination of the PPI.

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Table 3c.

Costa Rica 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 Except for being compiled only by product aggregations and not by economic activity as well, the PPI is compiled based on concepts and definitions in the 1993 SNA and the international PPI Manual. Scope Although the production of export goods is not included in the index, the PPI covers the entire manufacturing sector, including divisions 15-37 of the ISIC Rev. 3. Classification/sectorization Economic activities are classified using ISIC Rev. 3, and products are classified using the Central Product Classification, consistent with international standards. Basis for recording In accordance with international recommendations, factory gate prices are obtained from a monthly survey of producers, and do not include taxes, transportation costs, and insurance fees. Also in line with international recommendations, prices are determined for a specific product and not for unit values.	Source data There are few regular comprehensive industrial surveys that can be used to update the weights, the product sample, and the establishment sample for the PPI. However, plans are well underway to resolve this problem. As a first step, a draft of the new business register is now available. Monthly prices are collected for 790 product specifications in 179 establishments for the current PPI. Assessment of source data Price data for the PPI are thoroughly assessed. Atypical responses are verified and corrected when appropriate. Also the sales data used for determining the weights are thoroughly evaluated for consistency with national accounts data. Statistical techniques The weights, the establishment sample, and the product sample for the PPI that were introduced in 2000 are based on 1997 sales data. The index needs updating. Imputation of missing prices is carried out based on the price movement for similar products within the same establishment or prices for the same product across establishments. In some cases, average price change for the ISIC class group or division is used. Assessment and validation of intermediate data and statistical outputs The PPI index data are validated by comparing these data with corresponding index data from the CPI. Atypical index movements are evaluated and corrected as appropriate. Revision studies A comprehensive assessment of the source data is being carried out, and this is guiding the production of new source data to update the PPI and the national accounts.	Periodicity and timeliness The PPI is published on a monthly basis on the fifth working day after the end of the month, meeting SDDS requirements. Consistency Consistent long-term time series have been constructed for the 19 ISIC Rev. 3 divisions by linking the 1991-based PPI to the December 1999-based series. Revision policy and practice Updates (revisions) to the PPI are not done on a regular basis. It is expected that the index will be updated in 2010. The last update to the index was in 2000. The monthly PPI is final upon its first release.	Data accessibility Data are disseminated regularly in detail and in time series, according to a well established production and release schedule, through a monthly publication, and by electronic means. Presentation of the data is appropriate and yields to easy interpretation by users. Data are released simultaneously to all users on the BCCR’s website. Metadata accessibility A detailed document covering the methodology for compiling the PPI is available on the BCCR’s website. Assistance to users The BCCR’s website provides contact information for each PPI table. This includes the names and telephone numbers of the persons responsible for the dissemination of the PPI.

Table 3d.

Costa Rica Assessment of Data Quality—Dimensions 2 to 5—Government Finance Statistics

Table 3d.

Costa Rica 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 concepts and definitions used in compiling GFS generally follow the guidelines of the GFSM 1986. An exception is that for financing data and government debt, which use national concepts that combine instruments and holders, not in accordance with international standard. A migration path to the GFSM 2001 has been adopted in the context of the GFS harmonization project for Central America, Panama, and the Dominican Republic. Scope Monthly fiscal statistics are only compiled and disseminated for budgetary central government, while annual statistics are compiled and disseminated for the entire public sector and its subsectors. The place of issue (Costa Rica or abroad) criterion is followed to classify domestic and foreign debt, instead of the internationally recommended residency criterion. Classification/sectorization The sectorization of fiscal statistics generally follows international guidelines, although separate statistics for central government, social security funds, and general government are not provided. However, the information is available to compile these statistics. Basis for recording Flows for annual budgetary central government statistics are not on a cash basis (so called “recognized” basis) while annual flows for the other subsectors are on a cash basis. Flows for monthly statistics are valued on a cash basis.	Source data Source data for financing are available but are not used in compiling monthly GFS. The data sources for compiling fiscal statistics come mainly from administrative systems for monitoring budget execution, encompassing all public sector entities under the Budgetary Authority. The main sources for debt are the SINPE, which includes a module for domestic debt, and the external debt management system (SIGADE). A uniform chart of accounts for all public sector institutions was introduced in 2006. Assessment of source data Automated procedures are used to monitor the accuracy of source data. The financial statements of all public sector institutions must be audited by an external auditor prior to their submission to the Comptroller General’s Office. Statistical techniques Data compilation is computerized to a large extent. Consolidation is done following international guidelines. Assessment and validation of intermediate data and statistical outputs Fiscal data discrepancies among national compilers on particular items are not regularly reconciled. Large fluctuations or discrepancies are investigated. Revision studies Fiscal statistics are considered final when first published.	Periodicity and timeliness The periodicity and timeliness of GFS meet or exceed the SDDS requirements. Consistency Only on an annual basis is the deficit/surplus consistent with financing. No reconciliation is done on a sub-annual basis. Fiscal statistics are not regularly reconciled with monetary statistics, or other macroeconomic statistics. Revision policy and practice Fiscal statistics are final when first published. Detected errors are corrected. The official definition of public sector and its subsectors, issued by the MOF, must be followed by all data producing agencies. This ensures consistency in sectorization among these agencies.	Data accessibility The inclusion of charts and graphs for GFS on the MOF website will facilitate proper data interpretation by users. The statistics that are part of the commitment under the SDDS are released according to a pre-announced schedule, while other statistics are not. The release of the fiscal statistics is announced at a press conference, and are made available to all interested parties simultaneously. Statistics not routinely disseminated are made available upon request, but this service is not publicized. Metadata accessibility The concepts, definitions, classifications, and other methodological information is available on the SDDS website. There is a direct link on the MOF’s website to the DSBB. However, the metadata do not have levels of detail adapted to different audiences. Assistance to users Contact persons for each relevant area of the MOF are provided. Questions are addressed by telephone and e-mail. A list of tables is provided on the MOF and BCCR websites. Statistical services are provided to users free of charge.

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Table 3d.

Costa Rica 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 concepts and definitions used in compiling GFS generally follow the guidelines of the GFSM 1986. An exception is that for financing data and government debt, which use national concepts that combine instruments and holders, not in accordance with international standard. A migration path to the GFSM 2001 has been adopted in the context of the GFS harmonization project for Central America, Panama, and the Dominican Republic. Scope Monthly fiscal statistics are only compiled and disseminated for budgetary central government, while annual statistics are compiled and disseminated for the entire public sector and its subsectors. The place of issue (Costa Rica or abroad) criterion is followed to classify domestic and foreign debt, instead of the internationally recommended residency criterion. Classification/sectorization The sectorization of fiscal statistics generally follows international guidelines, although separate statistics for central government, social security funds, and general government are not provided. However, the information is available to compile these statistics. Basis for recording Flows for annual budgetary central government statistics are not on a cash basis (so called “recognized” basis) while annual flows for the other subsectors are on a cash basis. Flows for monthly statistics are valued on a cash basis.	Source data Source data for financing are available but are not used in compiling monthly GFS. The data sources for compiling fiscal statistics come mainly from administrative systems for monitoring budget execution, encompassing all public sector entities under the Budgetary Authority. The main sources for debt are the SINPE, which includes a module for domestic debt, and the external debt management system (SIGADE). A uniform chart of accounts for all public sector institutions was introduced in 2006. Assessment of source data Automated procedures are used to monitor the accuracy of source data. The financial statements of all public sector institutions must be audited by an external auditor prior to their submission to the Comptroller General’s Office. Statistical techniques Data compilation is computerized to a large extent. Consolidation is done following international guidelines. Assessment and validation of intermediate data and statistical outputs Fiscal data discrepancies among national compilers on particular items are not regularly reconciled. Large fluctuations or discrepancies are investigated. Revision studies Fiscal statistics are considered final when first published.	Periodicity and timeliness The periodicity and timeliness of GFS meet or exceed the SDDS requirements. Consistency Only on an annual basis is the deficit/surplus consistent with financing. No reconciliation is done on a sub-annual basis. Fiscal statistics are not regularly reconciled with monetary statistics, or other macroeconomic statistics. Revision policy and practice Fiscal statistics are final when first published. Detected errors are corrected. The official definition of public sector and its subsectors, issued by the MOF, must be followed by all data producing agencies. This ensures consistency in sectorization among these agencies.	Data accessibility The inclusion of charts and graphs for GFS on the MOF website will facilitate proper data interpretation by users. The statistics that are part of the commitment under the SDDS are released according to a pre-announced schedule, while other statistics are not. The release of the fiscal statistics is announced at a press conference, and are made available to all interested parties simultaneously. Statistics not routinely disseminated are made available upon request, but this service is not publicized. Metadata accessibility The concepts, definitions, classifications, and other methodological information is available on the SDDS website. There is a direct link on the MOF’s website to the DSBB. However, the metadata do not have levels of detail adapted to different audiences. Assistance to users Contact persons for each relevant area of the MOF are provided. Questions are addressed by telephone and e-mail. A list of tables is provided on the MOF and BCCR websites. Statistical services are provided to users free of charge.

Table 3e.

Costa Rica Assessment of Data Quality—Dimensions 2 to 5—Monetary Statistics

Table 3e.

Costa Rica Assessment of Data Quality—Dimensions 2 to 5—Monetary Statistics

2. Methodological soundness	3. Accuracy and reliability	4. Serviceability	5. Accessibility
Concepts and definitions Costa Rica’s monetary statistics are broadly in line with the methodology of the MFSM. Scope The other depository corporations (ODC) survey published by the BCCR excludes the short-term investment funds, which account for about five percent of total assets and liabilities of the ODC subsector. Classification/sectorization Classification/sectorization follows the MFSM with some exceptions. The social security system accounts are not presented within the central government, but aggregated with other public sector accounts. Some financial assets and liabilities are not disaggregated by economic sector. Accrued interest is not classified together with its underlying instrument. In the data published by the BCCR, public financial institutions (except banks) are classified as part of the public sector and not in the other financial corporations subsector. Basis for recording Financial instruments are generally valued at market prices, although assets for which market prices are not readily available are recorded at amortized cost. Monetary statistics are produced on an accrual basis, which is consistent with the MFSM. Accounts in foreign currency are converted at the end of the month into national currency using the buying rate of the BCCR, which is close to the market rate.	Source data The DC survey is based on the consolidated balance sheets of the BCCR and ODCs. ODCs report monthly data to the SUGEF, which transmits them to the BCCR. The BCCR receives directly from the ODCs supplementary information in hard copy. Assessment of source data Most data are transmitted electronically, minimizing the risk of errors in data inputting. BCCR data are validated through automated procedures; while ODC data are validated using both automated and manual procedures. Statistical techniques Monetary data are based on the balance sheets of the BCCR and ODCs. Additional disaggregated data are used to improve the sectorization of ODC data. Assessment and validation of intermediate data and statistical outputs Monetary data are cross-checked against government finance data only once a year. Data received from the SUGEF are validated against the supplementary data that the BCCR receives directly from the ODCs. Various validation tests are performed using data from other sectors. Revision studies Studies are done on major data changes and adjustments, which informed important improvements in data compilation and presentation.	Periodicity and timeliness The periodicity and timeliness of the monetary statistics meet SDDS requirements. Monetary statistics are compiled on a monthly basis. BCCR data are disseminated one week after the end of the month, while ODC data are disseminated four weeks after the end of the month. Consistency Monetary data are not consistent with GFS. Monetary data are disseminated in consistent historical series. Data on the BCCR and ODC survey are internally consistent. Data on net foreign assets are consistent with the corresponding data on the international investment position. Revision policy and practice Monetary data are generally final when first released. If disseminated, provisional data are noted as such. Any major changes in the methodology are announced as technical memoranda on the BCCR’s website when the changes are made.	Data accessibility Data are presented on the BCCR’s website in a variety of formats appropriate for economic analysis. The BCCR publishes, and complies with, an advance release calendar for monetary data. Data are posted on the BCCR website, ensuring simultaneous access by all users. Metadata accessibility Since November 2001, Costa Rica has posted its monetary metadata on the IMF’s DSBB. Detailed methodological notes accompany the statistical tables published on the BCCR’s website, including coverage and institutional changes. Assistance to users Tables published on the BCCR’s website contain names and telephones of contact persons, with an e-mail link. Information on the contact person for monetary statistics is available on the DSBB. The BCCR’s website contains a link to all publications and documents of the BCCR.

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Table 3e.

Costa Rica Assessment of Data Quality—Dimensions 2 to 5—Monetary Statistics

2. Methodological soundness	3. Accuracy and reliability	4. Serviceability	5. Accessibility
Concepts and definitions Costa Rica’s monetary statistics are broadly in line with the methodology of the MFSM. Scope The other depository corporations (ODC) survey published by the BCCR excludes the short-term investment funds, which account for about five percent of total assets and liabilities of the ODC subsector. Classification/sectorization Classification/sectorization follows the MFSM with some exceptions. The social security system accounts are not presented within the central government, but aggregated with other public sector accounts. Some financial assets and liabilities are not disaggregated by economic sector. Accrued interest is not classified together with its underlying instrument. In the data published by the BCCR, public financial institutions (except banks) are classified as part of the public sector and not in the other financial corporations subsector. Basis for recording Financial instruments are generally valued at market prices, although assets for which market prices are not readily available are recorded at amortized cost. Monetary statistics are produced on an accrual basis, which is consistent with the MFSM. Accounts in foreign currency are converted at the end of the month into national currency using the buying rate of the BCCR, which is close to the market rate.	Source data The DC survey is based on the consolidated balance sheets of the BCCR and ODCs. ODCs report monthly data to the SUGEF, which transmits them to the BCCR. The BCCR receives directly from the ODCs supplementary information in hard copy. Assessment of source data Most data are transmitted electronically, minimizing the risk of errors in data inputting. BCCR data are validated through automated procedures; while ODC data are validated using both automated and manual procedures. Statistical techniques Monetary data are based on the balance sheets of the BCCR and ODCs. Additional disaggregated data are used to improve the sectorization of ODC data. Assessment and validation of intermediate data and statistical outputs Monetary data are cross-checked against government finance data only once a year. Data received from the SUGEF are validated against the supplementary data that the BCCR receives directly from the ODCs. Various validation tests are performed using data from other sectors. Revision studies Studies are done on major data changes and adjustments, which informed important improvements in data compilation and presentation.	Periodicity and timeliness The periodicity and timeliness of the monetary statistics meet SDDS requirements. Monetary statistics are compiled on a monthly basis. BCCR data are disseminated one week after the end of the month, while ODC data are disseminated four weeks after the end of the month. Consistency Monetary data are not consistent with GFS. Monetary data are disseminated in consistent historical series. Data on the BCCR and ODC survey are internally consistent. Data on net foreign assets are consistent with the corresponding data on the international investment position. Revision policy and practice Monetary data are generally final when first released. If disseminated, provisional data are noted as such. Any major changes in the methodology are announced as technical memoranda on the BCCR’s website when the changes are made.	Data accessibility Data are presented on the BCCR’s website in a variety of formats appropriate for economic analysis. The BCCR publishes, and complies with, an advance release calendar for monetary data. Data are posted on the BCCR website, ensuring simultaneous access by all users. Metadata accessibility Since November 2001, Costa Rica has posted its monetary metadata on the IMF’s DSBB. Detailed methodological notes accompany the statistical tables published on the BCCR’s website, including coverage and institutional changes. Assistance to users Tables published on the BCCR’s website contain names and telephones of contact persons, with an e-mail link. Information on the contact person for monetary statistics is available on the DSBB. The BCCR’s website contains a link to all publications and documents of the BCCR.

Table 3f.

Costa Rica Assessment of Data Quality—Dimensions 2 to 5—Balance of Payments Statistics

Table 3f.

Costa Rica 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 The balance of payments statistics broadly follows the concepts and definitions in the BPM5. Scope Resident institutional units are defined in conformity with BPM5’s concepts of economic territory, residency, and center of economic interest. Coverage of the private sector is incomplete, in both the current and financial accounts. Coverage of compensation of employees is insufficient. Weaknesses in coverage are observed in areas such as services, and financial transactions of the private sector. Classification/sectorization The classification and sectorization of the balance of payments are broadly in line with the methodology of BPM5. Basis for recording Foreign direct investment transactions and positions are valued on a cash basis instead of the recommended accrual basis. Services are recorded at the time the service is provided. While other income transactions are recorded on an accrual basis, interest on public external debt is recorded on the due date; no adjustment is made to convert interest to accrued values. Transfer prices in some cases are not converted to market prices.	Source data While generally adequate and derived from sound collection programs, source data are incomplete to compile some services in the current account, financial transactions of the nonfinancial private sector, and remuneration of employees. Supplementary data are obtained from administrative records. Assessment of source data There is a range of comprehensive checks for internal consistency, comparisons with other sources, and routine queries when large transactions are detected. Statistical techniques Except for the lack of estimates for nonrecorded trade (border trade and smuggling), statistical techniques are generally sound and consistent with international practices. Assessment and validation of intermediate data and statistical output Intermediate results and statistical outputs are assessed and validated with related indicators. Intermediate data are thoroughly validated. Revision studies Although the direction and magnitude of revisions of preliminary data are evaluated, no formal studies are conducted to inform statistical processes.	Periodicity and timeliness The balance of payments and IIP statistics meet SDDS requirements. Consistency Data are consistent internally and over time, and are reconcilable with foreign trade, national accounts, and monetary and external debt statistics. Harmonization with other data sets are conducted, and differences identified and explained. Revision policy and practice The revision cycle for balance of payments and IIP follows a regular schedule, but it is not made known to the public. Users are informed when data are preliminary by means of a footnote. No formal procedure has been established for disseminating studies and analysis of revisions.	Data accessibility Data access is provided through the BCCR website and in hard copy publications. Data are available in several formats and aggregation levels. Data are released on a preannounced schedule in accordance with the SDDS requirements. Metadata accessibility Concepts, methodology, and data sources for balance of payments compilation are available on the website of the BCCR and on the IMF’s DSBB. Costa Rica’s annual revisions to its BOP/IIP methodology are submitted for publication in the IMF’s BOPSY. Assistance to users Adequate assistance is provided to data users. A specific contact person for each set of external sector statistics is identified. Additional services to users are provided at no charge.

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Table 3f.

Costa Rica 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 The balance of payments statistics broadly follows the concepts and definitions in the BPM5. Scope Resident institutional units are defined in conformity with BPM5’s concepts of economic territory, residency, and center of economic interest. Coverage of the private sector is incomplete, in both the current and financial accounts. Coverage of compensation of employees is insufficient. Weaknesses in coverage are observed in areas such as services, and financial transactions of the private sector. Classification/sectorization The classification and sectorization of the balance of payments are broadly in line with the methodology of BPM5. Basis for recording Foreign direct investment transactions and positions are valued on a cash basis instead of the recommended accrual basis. Services are recorded at the time the service is provided. While other income transactions are recorded on an accrual basis, interest on public external debt is recorded on the due date; no adjustment is made to convert interest to accrued values. Transfer prices in some cases are not converted to market prices.	Source data While generally adequate and derived from sound collection programs, source data are incomplete to compile some services in the current account, financial transactions of the nonfinancial private sector, and remuneration of employees. Supplementary data are obtained from administrative records. Assessment of source data There is a range of comprehensive checks for internal consistency, comparisons with other sources, and routine queries when large transactions are detected. Statistical techniques Except for the lack of estimates for nonrecorded trade (border trade and smuggling), statistical techniques are generally sound and consistent with international practices. Assessment and validation of intermediate data and statistical output Intermediate results and statistical outputs are assessed and validated with related indicators. Intermediate data are thoroughly validated. Revision studies Although the direction and magnitude of revisions of preliminary data are evaluated, no formal studies are conducted to inform statistical processes.	Periodicity and timeliness The balance of payments and IIP statistics meet SDDS requirements. Consistency Data are consistent internally and over time, and are reconcilable with foreign trade, national accounts, and monetary and external debt statistics. Harmonization with other data sets are conducted, and differences identified and explained. Revision policy and practice The revision cycle for balance of payments and IIP follows a regular schedule, but it is not made known to the public. Users are informed when data are preliminary by means of a footnote. No formal procedure has been established for disseminating studies and analysis of revisions.	Data accessibility Data access is provided through the BCCR website and in hard copy publications. Data are available in several formats and aggregation levels. Data are released on a preannounced schedule in accordance with the SDDS requirements. Metadata accessibility Concepts, methodology, and data sources for balance of payments compilation are available on the website of the BCCR and on the IMF’s DSBB. Costa Rica’s annual revisions to its BOP/IIP methodology are submitted for publication in the IMF’s BOPSY. Assistance to users Adequate assistance is provided to data users. A specific contact person for each set of external sector statistics is identified. Additional services to users are provided at no charge.

III. Staff’s Recommendations

Based on the review of Costa Rica’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 developed a set of recommendations. They are designed to increase further Costa Rica’s adherence to internationally accepted statistical practices and would, in the mission’s view, enhance the analytical usefulness of Costa Rica’s statistics. Some additional technical suggestions are included in the Detailed Assessments volume.