The Predictive Value of Subjective Labour Supply Data: A Dynamic Panel Data Model with Measurement Error

Rob Euwals (r.w.euwals@cpb.nl)
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Rob Euwals: CPB Netherlands Bureau for Economic Policy Analysis

No 400, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: This paper tests the predictive value of subjective labour supply data for adjustments in working hours over time. The idea is that if subjective labour supply data help to predict next year’s working hours, such data must contain at least some information on individual labour supply preferences. This informational content can be crucial to identify models of labour supply. Furthermore, it can be crucial to investigate the need for, or, alternatively, the support for laws and collective agreements on working hours flexibility. In this paper I apply dynamic panel data models that allow for measurement error. I find evidence for the predictive power of subjective labour supply data concerning desired working hours in the German Socio- Economic Panel 1988-1996.

Keywords: dynamic panel data models; measurement error; subjective data; Labour supply (search for similar items in EconPapers)
JEL-codes: C23 J22 (search for similar items in EconPapers)
Pages: 29 pages
Date: 2001-11
New Economics Papers: this item is included in nep-lab
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Published - published in: Empirical Economics, 2005, 30 (2), 309-329

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