A technical assistance (TA) mission was conducted by IMF’s Regional Technical Assistance Center for Southern Africa (AFS) during November 2023 to assist Statistics Botswana (SB) in reviewing and finalizing the questionnaires to be used in the Census of Economic Establishments (CEE), sample design and IT processing system in preparation for the rebasing of the national accounts. The draft CEE questionnaires finalized during the previous mission in March 2023, have been tested. The IT system specifications were reviewed, and several improvements were incorporated. The mission and team commenced development of the data collection and data processing manuals. SB are planning to use the tax list to identify the sample frame for this rebase. The deflator issues raised by the IMF country team were discussed.
This paper presents technical assistance report on National Accounts Statistics mission in Botswana. The mission reviewed and suggested updates of two strategic documents pertaining to the rebase with the national accounts team. The first document broadly outlined the main objectives of a rebase and the key tasks. The second document concentrated on the more detailed implementation strategy. The timeline for the rebasing exercise was reviewed and agreed upon. The data input and processing system development is expected to be undertaken during 2023/24, commencing in May 2023. Therefore, the strategic documents, questionnaire design and sample frame need to be close to final by the end of April 2023. The national accounts team will need to start developing the information technology (IT) data processing system specifications so that in May 2023 they will have something to provide the IT consultant. It is recommended that Statistics Bostwana ensure that all of the required data is collected only once using the Agriculture Census form. Consequently, the national accounts team need to be involved in the development of the Agriculture Census form.
This technical assistance report on Philippines provides details about the Property Price Index mission. The authorities intend to improve the methods used for the Residential Real Estate Price Index and publish the Commercial Property Price Index (land only) for the first time. Some further improvements to the methods should be implemented, including amending the level at which the weights are applied in the aggregation process. The new methodology was evaluated to ensure that it adheres to international compilation standards and best practices. The authorities are committed to increasing the coverage of the statistics to include both cash purchases and other forms of non-bank lending. The existing data source used for the property price statistics are quarterly reports from the commercial banks. The report recommends to increase the capacity of the team with hedonic regression methods through attendance at a training course and/or planning further technical assistance.
This technical assistance (TA) mission on Government Finance Statistics was conducted during April 19– May 6, 2022. The main purpose of the mission was to review the progress made by the authorities in implementing previous TA recommendations and provide further support to improve fiscal data compilation and dissemination in line with international standards set out in the Government Finance Statistics Manual 2014.
This technical assistance mission collaborated with the National Institute of Statistics and Informatics in Peru to incorporate big data methods into compilation of the consumer price index (CPI). This includes both prices ingested from the websites of large retailers and data recorded through in-store checkout scanners.
The mission to Armenia took place between September 27–October 8, 2021 to assist the authorities to improve their Government Finance Statistics (GFS) compilation practices. The technical assistance (TA) mission was conducted by Ms. Ivana Jablonská and Mr. David Bailey at the request of the Ministry of Finance (MOF) and with the support of the IMF´s Middle East and Central Asia Department (MCD). The main objectives of the mission were to assist the authorities in finalizing a comprehensive sectorized list of all public sector units —known as, the public sector institutional table (PSIT) — and in compiling annual general government GFS data for 2020.
At the request of the Ministry of Economy and Finance (MEF) and in consultation with the Africa Department (AFR) of the International Monetary Fund (IMF), a remote Government Finance Statistics (GFS) mission from the Statistics Department (STA) took place in Madagascar from October 26 to November 13, 2020. The objective of this mission was to continue supporting the authorities in their project to adopt international GFS standards based on the methodology of the Government Finance Statistics Manual 2014 (GFSM 2014) and the Public Sector Debt Statistics Guide (PSDSG) and to improve GFS in general.
This Technical Assistance Report discusses the findings and recommendations of the IMF mission regarding compilation of Government Finance Statistics in Bosnia and Herzegovina as per the Government Finance Statistics Manual 2014 and the European System of National and Regional Accounts 2010. On the compilation of Excessive Deficit Procedure (EDP) tables, the mission assisted the Central Bank of Bosnia and Herzegovina with the completion of derivation tables for net lending / net borrowing of the budgetary governments of the Federation of Bosnia and Herzegovina and the Republic of Srpska. The mission also recommended implementing a coding system for statistical adjustments to the source data; applying the superdividend test; and further implementing derivation tables for the compilation of EDP tables.
Federico Diaz Kalan, Ms. Adina Popescu, and Julien Reynaud
There is evidence that fiscal rules, in particular well-designed rules, are associated with lower sovereign spreads. However, the impact of noncompliance with fiscal rules on spreads has not been examined in the literature. This paper estimates the effect of the Excessive Deficit Procedure (EDP) on sovereign spreads of European Union member states. Based on a sample including the 28 European Union countries over the period 1999 to 2016, sovereign spreads of countries placed under an EDP are found to be on average higher compared to countries that are not under an EDP. The interpretation of this result is not straight-forward as different channels may be at play, in particular those related with the credibility and the design of the EU fiscal framework. The specification accounts for typical macroeconomic, fiscal, and financial determinants of sovereign spreads, the System Generalized Method of Moments estimator is used to control for endogeneity, and results are robust to a range of checks on variables and estimators.