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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
International Monetary Fund,
2012.
|
| Colección: | IMF working paper ;
WP/12/169. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Di Fonzo, Tommaso, |e author. | |
| 245 | 1 | 0 | |a On the extrapolation with the Denton proportional benchmarking method / |c prepared by Tommaso Di Fonzo and Marco Marini. |
| 260 | |a [Place of publication not identified] : |b International Monetary Fund, |c 2012. | ||
| 300 | |a 1 online resource : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 347 | |a data file | ||
| 490 | 1 | |a IMF working paper ; |v WP/12/169 | |
| 504 | |a Includes bibliographical references. | ||
| 520 | |a 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. | ||
| 505 | 0 | |a Cover; Contents; Abstract; I. Introduction; II. The Denton PFD Benchmarking Method; III. The Enhanced Denton PFD Method for Extrapolation; A. An Approximation of the Enhanced PFD Method; IV. An Example with Artificial Data; V. An Application to Real-Life Data; VI. Conclusions; References; Tables; 1. Extrapolation Using Forecast BI Ratios (Example 6.2, QNA Manual, 2001); 2. Enhanced Denton PFD: Comparison Between the Shortcut and the Analytical Solution; 3. Enhanced Denton PFD: Comparison with the Indicator Series; 4. Basic Denton PFD vs. Enhanced Denton PFD: MSD of Quarterly Growth Rates. | |
| 546 | |a English. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Benchmarking (Management) | |
| 650 | 0 | |a Managerial accounting. | |
| 650 | 0 | |a National income |x Statistical methods. | |
| 650 | 2 | |a Benchmarking | |
| 650 | 6 | |a Étalonnage concurrentiel. | |
| 650 | 6 | |a Comptabilité de gestion. | |
| 650 | 6 | |a Revenu national |x Méthodes statistiques. | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Industrial Management. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Management. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Management Science. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Organizational Behavior. |2 bisacsh | |
| 650 | 7 | |a Benchmarking (Management) |2 fast | |
| 650 | 7 | |a Managerial accounting |2 fast | |
| 650 | 7 | |a National income |x Statistical methods |2 fast | |
| 700 | 1 | |a Marini, Marco, |e author. | |
| 710 | 2 | |a International Monetary Fund. |b Statistics Department. | |
| 758 | |i has work: |a On the extrapolation with the Denton proportional benchmarking method (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFHvkVHwrWQ3vWbXcjt4mb |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
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| 830 | 0 | |a IMF working paper ; |v WP/12/169. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1606822 |z Texto completo |
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