Assessing Accuracy and Reliability [electronic resource] : A Note Basedon Approaches Used in National Accounts and Balance of Payments Statistics / Carol S. Carson.

By: Carson, Carol SContributor(s): Laliberté, LucieMaterial type: TextTextSeries: IMF Working Papers; Working Paper ; No. 02/24Publication details: Washington, D.C. : International Monetary Fund, 2002Description: 1 online resource (21 p.)ISBN: 1451844158 :ISSN: 1018-5941Subject(s): Accuracy | Computer Programs | Data Collection and Data Estimation Methodology | Econometric and Statistical Methods: General | International Economics: General | Judgmental Evaluation | Australia | CanadaAdditional physical formats: Print Version:: Assessing Accuracy and Reliability : A Note Basedon Approaches Used in National Accounts and Balance of Payments StatisticsOnline resources: IMF e-Library | IMF Book Store 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.
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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.

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