Determinants of Lifetime Unemployment. A Micro Data Analysis with Censored Quantile Regressions

Achim Schmillen and Joachim Möller

No 90, Working Papers from Bavarian Graduate Program in Economics (BGPE)

Abstract: The empirical literature on unemployment almost exclusively focuses on the duration of distinct unemployment spells. In contrast, we use a large German administrative micro data set for the time span 1975-2004 to investigate individual lifetime unemployment (defined as the total length of all unemployment spells over a 25-year period). This new perspective enables us to answer questions regarding the longterm distribution and determinants of unemployment for West German birth cohorts 1950-1954. We find that lifetime unemployment is highly unevenly distributed and employ censored quantile regressions to show that, for men, pursuing a disadvantageous occupation early in the professional career leads to a significantly higher amount of lifetime unemployment.

Keywords: Lifetime unemployment; Censored quantile regressions; Occupation-specific human capital (search for similar items in EconPapers)
JEL-codes: J24 J64 (search for similar items in EconPapers)
Pages: 29 pages
Date: 2010-03
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
https://bgpe.cms.rrze.uni-erlangen.de/files/2023/0 ... tile-Regressions.pdf First version, 2010 (application/pdf)

Related works:
Working Paper: Determinants of lifetime unemployment: a micro data analysis with censored quantile regressions (2010)
Working Paper: Determinants of Lifetime Unemployment: A Micro Data Analysis with Censored Quantile Regressions (2010)
Working Paper: Determinants of Lifetime Unemployment - A Micro Data Analysis with Censored Quantile Regressions (2009)
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:bav:wpaper:090_schmillen

Access Statistics for this paper

More papers in Working Papers from Bavarian Graduate Program in Economics (BGPE) Contact information at EDIRC.
Bibliographic data for series maintained by Anton Barabasch ().