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Qualitative Business Surveys and theAssessment of Employment A Case Study for Germany

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Author Info
Klaus Abberger ()

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Abstract

Business tendency surveys are a commonly accepted instrument for the assessment ofthe current business cycle course. Most of these surveys rely on qualitative questionsabout the current situation of the firms and about heir expectations for the next months. This paper analyzes whether qualitative questions about employment expectations are useful to assess actual employment changes. In Germany the Ifo Institute is specialized on business surveys. The German Ifo data are investigated using three different approaches: Smoothing techniques help to date turning points in the course of the series. Error correction models are used to analyze the general lead/lag relations and Probit models are used to estimate a threshold for the survey based indicator which helps to differentiate between an increase and an decrease in employment. All three methods indicate that the employment expectations form a leading indicator of actual employment changes.

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File URL: http://www.cesifo-group.de/DocDL/IfoWorkingPaper-11.pdf
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Publisher Info
Paper provided by Ifo Institute for Economic Research at the University of Munich in its series Ifo Working Paper Series with number Ifo Working Paper No. 11.

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Date of creation: 2005
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Handle: RePEc:ces:ifowps:_11

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Related research
Keywords: Business tendency surveys; employment; employment expectations; turningpoints; Granger-causality; error correction models.;

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Find related papers by JEL classification:
C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General

Cited by:
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  1. Klaus Abberger & Sascha Becker & Barbara Hofmann & Klaus Wohlrabe, 2007. "Mikrodaten im ifo Institut für Wirtschaftsforschung – Bestand, Verwendung und Zugang," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer, vol. 1(1), pages 27-42, June. [Downloadable!] (restricted)
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This page was last updated on 2009-11-28.


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