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International Monetary Fund. Statistics Dept.
This technical assistance (TA) report on government finance statistics (GFS) covers the remote TA to the Ministry of Finance (MOF) during September 21–October 2 and December 14–18, 2020 and March 9–13 and April 19–23, 2021 (which was extended to May 2021). These peripatetic activities were conducted remotely due to the travel restrictions resulting from the COVID-19 situation. This report documents the main achievements from these activities. These activities were part of the GFS and Public Sector Debt Statistics (PSDS) project funded by the Government of Japan (JSA3) and implemented by the IMF Statistics Department (STA) and the IMF Capacity Development Office in Thailand (CDOT).
International Monetary Fund. Independent Evaluation Office

Abstract

This report examines whether the IMF has effectively leveraged an important asset: data. It finds that in general, the IMF has been able to rely on a large amount of data of acceptable quality, and that data provision from member countries has improved markedly over time. Nonetheless, problems with data or data practices have, at times, adversely affected the IMF’s surveillance and lending activities. The roots of data problems are diverse, ranging from problems due to member countries’ capacity constraints or reluctance to share sensitive data to internal issues such as lack of appropriate staff incentives, institutional rigidities, and long-standing work practices. Efforts to tackle these problems are piecemeal, the report finds, without a clear comprehensive strategy that recognizes data as an institutional strategic asset, not just a consumption good for economists. The report makes a number of recommendations that could promote greater progress in this regard.

International Monetary Fund
The report on Thailand’s Observance of Standards and Codes examines Data Module, response by the authorities, and detailed assessments using the data quality assessment framework. Thailand possesses a well-developed macroeconomic statistical system, with much strength that spans all of the datasets assessed in this report. The government clearly recognizes the importance of good statistics for effective decision making in all sectors of the economy, and it is well accepted at all levels of the statistics-producing agencies that quality builds trust and, thus, is a cornerstone of statistical work.