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Assessing Accuracy and Reliability: A Note Basedon Approaches Used in National Accounts and Balance of Payments Statistics

Author

Listed:
  • Mrs. Carol S Carson
  • Ms. Lucie Laliberté

Abstract

Both national accounts and balance of payments are based on multiple, complex source data and typically undergo several routine revisions as more and better source data are incorporated into the final estimates. As a result, neither dataset can be subjected directly to the usual statistical measures of sampling biases, variances, and other measurement error properties. In this context, this note, which is addressed to those interested in these datasets and others, explores four approaches that shed light on the accuracy and reliability of these datasets: examination of statistical discrepancies, comparison with other data, analysis of revisions, and judgmental evaluation.

Suggested Citation

  • Mrs. Carol S Carson & Ms. Lucie Laliberté, 2002. "Assessing Accuracy and Reliability: A Note Basedon Approaches Used in National Accounts and Balance of Payments Statistics," IMF Working Papers 2002/024, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2002/024
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    Citations

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    Cited by:

    1. Susanne Wanger & Roland Weigand & Ines Zapf, 2016. "Measuring hours worked in Germany – Contents, data and methodological essentials of the IAB working time measurement concept [Die Berechnung der geleisteten Arbeitsstunden in Deutschland – Inhalte,," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 49(3), pages 213-238, November.
    2. Mrs. Carol S Carson & Mr. Sarmad Khawaja & Mr. Thomas K. Morrison, 2004. "Revisions Policy for Official Statistics: A Matter of Governance," IMF Working Papers 2004/087, International Monetary Fund.
    3. Gerrit van den Dool & Marc de Vor & Dirk van der Wal, 2008. "A macro-micro approach to compiling statistics," IFC Working Papers 2, Bank for International Settlements.
    4. Cath Sleeman, 2006. "Analysis of revisions to quarterly GDP - a real-time database," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 69, pages 1-44., March.
    5. Hyeon-Seung Huh & Chung Mo Koo, 2006. "A method to allocate GDP statistical discrepancy," Applied Economics Letters, Taylor & Francis Journals, vol. 13(9), pages 587-591.
    6. Ronney Ncwadi, 2016. "Assessing Efficiency of GDP Revisions in South Africa," Journal of Education and e-Learning Research, Asian Online Journal Publishing Group, vol. 3(2), pages 72-77.

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