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Désaisonnalisation des agrégats monétaires : Mise en place d’une chaîne rénovée

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Author Info
Lacroix, R.
Maurin, L.
Abstract

The analysis of seasonality in economics and the development of new seasonal adjustment procedures have been following new directions in the last twenty years. We study this question through the work performed at the Banque de France (Monetary Statistic and Studies Directorate) to compile new seasonally adjusted (SA) data. A brief discussion of the academic literature show the necessity to complement the existing software with empirical rules fixed by the practitioner in order to make all the methodological choices clear, thus avoiding any ambiguity. In the implementation of the new production process, we focus on the revision policy of some keys parameters of the whole process in order to minimize the subsequent revisions in the publication of SA data. We illustrate this new methodology with SA series relating to monetary aggregates, including loans to enterprises and to households, and provide a detailed analysis of the consistency between flows and outstanding amount SA figures, an issue particularly relevant for monetary an financial data.

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File URL: http://www.banque-france.fr/fr/publications/telechar/ner/ner207.pdf
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Publisher Info
Paper provided by Banque de France in its series Documents de Travail with number 207.

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Length: 88 pages
Date of creation: 2008
Date of revision:
Handle: RePEc:bfr:banfra:207

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Postal: Banque de France 31 Rue Croix des Petits Champs LABOLOG - 49-1404 75049 PARIS
Web page: http://www.banque-france.fr/
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Related research
Keywords: Seasonal Adjustment Methods ; Monetary Aggregates ; Outliers ; SARIMA Models ; Spectral Analysis.;

Find related papers by JEL classification:
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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This page was last updated on 2009-12-16.


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