Low-wage employment in Portugal: a mixed logit approach

Carlos Barros, Isabel Proença () and José Vieira

Labor and Demography from University Library of Munich, Germany

Abstract: In this paper, we examine the determinants of low-wage employment in Portugal. For this purpose, we use a data file of the European Community Household Panel (ECHP) for the years 1998 and 1999. In order to take into account unobserved heterogeneity in the data, a random-parameter logit model is used to analyse the probability of a worker receiving a low wage. The results indicate that the consideration that the effects of the explanatory variables are the same across all individuals, such as is assumed in most of the literature may be misleading. From the policy perspective, this implies that the use of a single instrument in order to combat low-wage employment is inappropriate to satisfy the whole population. In view of this, policies tailored by clusters would be more appropriate.

Keywords: low-wage employment; random-parameter logit model; public policy. (search for similar items in EconPapers)
JEL-codes: C25 J31 J38 (search for similar items in EconPapers)
Pages: 22 pages
Date: 2005-08-05
New Economics Papers: this item is included in nep-dcm and nep-lab
Note: Type of Document - Acrobat PDF; prepared on windows; pages: 22. documented submitted via ftp
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://econwpa.ub.uni-muenchen.de/econ-wp/lab/papers/0508/0508001.pdf (application/pdf)

Related works:
Working Paper: Low-Wage Employment in Portugal: A Mixed Logit Approach (2005)
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:wpa:wuwpla:0508001

Access Statistics for this paper

More papers in Labor and Demography from University Library of Munich, Germany
Bibliographic data for series maintained by EconWPA ( this e-mail address is bad, please contact ).