Estimation in a Duration Model for Evaluating Educational Programs

Kurt Brännäs ()

No 521, Umeå Economic Studies from Umeå University, Department of Economics

Abstract: The paper proposes two estimation approaches for duration models that are subject to right censored observations and selection effects. Main focus is on accelerated duration models and the estimators are of the limited information type, i.e. they are not based on a fully specified selection model. The estimators are instrumental variable adaptations to the Powell symmetrically trimmed least squares and the Buckley-James estimators for right censored data. In a small Monte Carlo study they are found to perform well. Empirical results are presented for total time outside the unemployment state for participants in the Swedish Adult Education Initiative and labour market training. The latter ones are included as controls and are found to have significantly longer times outside the unemployment state. There are strong indications of selection effects.

Keywords: Buckley-James: Powell; censoring; selection; instrumental variable; adult education initiative (search for similar items in EconPapers)
JEL-codes: C14 C24 I20 J64 (search for similar items in EconPapers)
Pages: 24 pages
Date: 2000-01-12
New Economics Papers: this item is included in nep-ecm, nep-edu and nep-lab
References: Add references at CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.econ.umu.se/DownloadAsset.action?conten ... Id=3&assetKey=ues521 (application/pdf)

Related works:
Working Paper: Estimation in a Duration Model for Evaluating Educational Programs (2000)
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:hhs:umnees:0521

Access Statistics for this paper

More papers in Umeå Economic Studies from Umeå University, Department of Economics Department of Economics, Umeå University, S-901 87 Umeå, Sweden. Contact information at EDIRC.
Bibliographic data for series maintained by David Skog ().