On the extrapolation with the Denton proportional benchmarking method /:

Statistical offices have often recourse to benchmarking methods for compiling quarterly national accounts (QNA). Benchmarking methods employ quarterly indicator series (i) to distribute annual, more reliable series of national accounts and (ii) to extrapolate the most recent quarters not yet covered...

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Hauptverfasser: Di Fonzo, Tommaso (VerfasserIn), Marini, Marco (VerfasserIn)
Körperschaft: International Monetary Fund. Statistics Department
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: [Place of publication not identified] : International Monetary Fund, 2012.
Schriftenreihe:IMF working paper ; WP/12/169.
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Zusammenfassung:Statistical offices have often recourse to benchmarking methods for compiling quarterly national accounts (QNA). Benchmarking methods employ quarterly indicator series (i) to distribute annual, more reliable series of national accounts and (ii) to extrapolate the most recent quarters not yet covered by annual benchmarks. The Proportional First Differences (PFD) benchmarking method proposed by Denton (1971) is a widely used solution for distribution, but in extrapolation it may suffer when the movements in the indicator series do not match consistently the movements in the target annual benchmarks. For this reason, an enhanced formula for extrapolation was recommended by the IMF's Quarterly National Accounts Manual: Concepts, Data Sources, and Compilation (2001). We discuss the rationale behind this technique, and propose a matrix formulation of it. In addition, we present applications of the enhanced formula to artificial and real-life benchmarking examples showing how the extrapolations for the most recent quarters can be improved.
Beschreibung:1 online resource : illustrations
Bibliographie:Includes bibliographical references.
ISBN:1475591055
9781475591057
1475505175
9781475505177
1475534647
9781475534641
1475558910
9781475558913

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