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

Rob Euwals

No 3121, CEPR Discussion Papers from C.E.P.R. Discussion Papers

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 1988-96.

Keywords: Labour supply; Subjective data; Measurement error; Dynamic panel data models (search for similar items in EconPapers)
JEL-codes: C23 J22 (search for similar items in EconPapers)
Date: 2002-01
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://cepr.org/publications/DP3121 (application/pdf)
CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cpr:ceprdp:3121

Ordering information: This working paper can be ordered from
https://cepr.org/publications/DP3121

Access Statistics for this paper

More papers in CEPR Discussion Papers from C.E.P.R. Discussion Papers Centre for Economic Policy Research, 33 Great Sutton Street, London EC1V 0DX.
Bibliographic data for series maintained by ().