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Evaluating Short-Run Forecasting Properties of the KOF Employment Indicator for Switzerland in Real Time

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Author Info
Boriss Siliverstovs () (KOF Swiss Economic Institute, ETH Zurich, Switzerland)

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Abstract

This study investigates the usefulness of the business tendency surveys collected at the KOF institute for short-term forecasting of employment in Switzerland aggregated in the KOF Employment Indicator. We use the real time dataset in order to simulate the actual predictive process using only the information that was available at the time when predictions were made. We evaluate the presence of predictive content of the KOF Employment Indicator both for nowcasts that are published two months before the first official release. We find that inclusion of the KOF Employment Indicator leads to substantial improvement both in in-sample as well as, more importantly, in out-of-sample prediction accuracy. This conclusion holds both for nowcasts and one-quarter ahead forecasts.

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Publisher Info
Paper provided by KOF Swiss Economic Institute, ETH Zurich in its series KOF Working papers with number 09-226.

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Length: 26 pages
Date of creation: May 2009
Date of revision:
Handle: RePEc:kof:wpskof:09-226

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Related research
Keywords: Business tendency surveys; Forecasting; Real-time data; Bayesian model averaging; Employment;

Find related papers by JEL classification:
C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications
E24 - Macroeconomics and Monetary Economics - - Macroeconomics: Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution

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This page was last updated on 2009-11-10.


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