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1. |
Record Nr. |
UNINA990004394700403321 |
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Autore |
Mann, Thomas <1875-1955> |
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Titolo |
Tagebücher, 1940-1943 / Thomas Mann ; hrsg. von Peter de Mendelssohn |
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Pubbl/distr/stampa |
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Frankfurt am Main : Fischer, 2003 |
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Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA990005835200403321 |
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Autore |
Leonelli, Giuseppe <1948- > |
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Titolo |
Giorgio Caproni : Storia d'una poesia tra musica e retorica / Giuseppe Leonelli |
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Materiale a stampa |
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Livello bibliografico |
Monografia |
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3. |
Record Nr. |
UNISA990001448610203316 |
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Autore |
CARLI, Plinio |
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Titolo |
L' abbozzo autografo frammentario delle storie fiorentine di N. Machiavelli : saggio comparativo per tesi di laurea / Plinio Carli |
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Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Estratto dagli annali della R. Scuola Normale Superiore di Pisa, vol. 21 |
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4. |
Record Nr. |
UNINA9910994995103321 |
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Autore |
Alì, Dario |
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Titolo |
Natura contronatura : Estetica ecoqueer / Dario Alì, Vincenzo Grasso |
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Altri autori (Persone) |
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Disciplina |
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Locazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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5. |
Record Nr. |
UNINA9910970285103321 |
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Autore |
Marini Marco |
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Titolo |
On the Extrapolation with the Denton Proportional Benchmarking Method / / Marco Marini, Tommaso Di Fonzo |
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Pubbl/distr/stampa |
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Washington, D.C. : , : International Monetary Fund, , 2012 |
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ISBN |
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9781475558913 |
1475558910 |
9781475534641 |
1475534647 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (22 p.) |
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Collana |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Benchmarking (Management) |
Managerial accounting |
Data Access |
Diffusion Processes |
Dynamic Analysis |
Dynamic Quantile Regressions |
Dynamic Treatment Effect Models |
General Aggregative Models: General |
Industrial production |
Industries |
Industries: General |
Industries: Manufacturing |
Industry Studies: Manufacturing: General |
Macroeconomics |
Macroeconomics: Production |
Manufacturing industries |
Manufacturing |
Methodology for Collecting, Estimating, and Organizing Macroeconomic Data |
National accounts |
National income |
Optimization Techniques |
Programming Models |
Time-Series Models |
Korea, Republic of |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Cover; Abstract; Contents; 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; 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 |
5. Enhanced Denton PFD: Comparison Between the Analytical Solution and the Shortcut Version with Different BI RatiosV. An Application to Real-Life Data; 6. Forecasting Manufacturing Value Added in 2009 Using IPI: a Comparison Between PFD and EPFD; VI. Conclusions; References |
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Sommario/riassunto |
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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. |
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