Open access
Datum
2009-02Typ
- Working Paper
ETH Bibliographie
yes
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Abstract
The paper evaluates the quality of the German national accounting data (GDP and its use-side components) as measured by the magnitude and dispersion of the forecast/ revision errors. It is demonstrated that government consumption series are the least reliable, whereas real GDP and real private consumption data are the most reliable. In addition, early forecasts of GDP, private consumption, and investment growth rates are shown to be systematically upward biased. Finally, early forecasts of all the variables seem to be no more accurate than na¨ıve forecasts based on the historical mean of the final data. Mehr anzeigen
Persistenter Link
https://doi.org/10.3929/ethz-a-005778341Publikationsstatus
publishedZeitschrift / Serie
KOF Working PapersBand
Verlag
KOF Swiss Economic Institute, ETH ZurichThema
GROSS NATIONAL PRODUCT; forecasts; FOREIGN TRADE + FOREIGN ECONOMY; PRIVATE CONSUMPTION; BUSINESS FORECASTS; GERMANY (CENTRAL EUROPE). FEDERAL REPUBLIC OF GERMANY; FORECASTING BASED ON STATISTICS (MATHEMATICAL STATISTICS); REAL-TIME SYSTEMS + EMBEDDED SYSTEMS (OPERATING SYSTEMS); MAXIMUM ENTROPY METHOD (MATHEMATICAL STATISTICS); BRUTTONATIONALEINKOMMEN; MACROECONOMIC MODELS (OPERATIONS RESEARCH); KAPITALANLAGE; ECHTZEITSYSTEME + EINGEBETTETE SYSTEME (BETRIEBSSYSTEME); CAPITAL INVESTMENT; DESKRIPTIVE ÖKONOMISCH-MATHEMATISCHE MODELLE (OPERATIONS RESEARCH); PRIVATER KONSUM; SIGNAL-RAUSCH-VERHÄLTNIS (MESSTECHNIK, PHYSIK); DEUTSCHLAND (MITTELEUROPA). BUNDESREPUBLIK DEUTSCHLAND; DESCRIPTIVE ECONOMIC-MATHEMATICAL MODELS (OPERATIONS RESEARCH); BETRIEBSWIRTSCHAFTLICHE PROGNOSE; real-time data; MAKROÖKONOMISCHE MODELLE (OPERATIONS RESEARCH); AUSSENHANDEL + AUSSENWIRTSCHAFT; Quality of statistical data; PROGNOSEN AUF STATISTISCHER BASIS (MATHEMATISCHE STATISTIK); signal-to-noise ratio; MAXIMUM-ENTROPIE-METHODE (MATHEMATISCHE STATISTIK); revisions; SIGNAL-TO-NOISE RATIO (MEASUREMENT TECHNIQUES, PHYSICS)Organisationseinheit
02525 - KOF Konjunkturforschungsstelle / KOF Swiss Economic Institute
ETH Bibliographie
yes
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