Analysing incomplete individual employment histories using indirect inference

In this paper we apply the Indirect Inference method to estimate the parameters of a semi-Markov transition model when the data are subject to a complex form of censoring. There is no explicit expression for the likelihood function, and therefore Maximum Likelihood estimation is computationally burd...

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Published inJournal of applied econometrics (Chichester, England) Vol. 10; no. S1; pp. S153 - S169
Main Authors Magnac, Thierry, Robin, Jean-Marc, Visser, Michael
Format Journal Article
LanguageEnglish
Published Chichester Wiley Subscription Services, Inc., A Wiley Company 01.12.1995
John Wiley & Sons
Wiley-Blackwell
Wiley Periodicals Inc
Wiley
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ISSN0883-7252
1099-1255
DOI10.1002/jae.3950100509

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Summary:In this paper we apply the Indirect Inference method to estimate the parameters of a semi-Markov transition model when the data are subject to a complex form of censoring. There is no explicit expression for the likelihood function, and therefore Maximum Likelihood estimation is computationally burdensome. The econometric methodology of Indirect Inference is first tested on simulated data under various assumptions about the distribution of spell durations and transitions. Then, it is applied to labour market transitions between self-employment, wage-work, and unemployment using the 1986-1988 French labour force survey. Although the analysis is basically a reduced-form analysis, we motivate our transition model in terms of a structural search model.
Bibliography:istex:AD53F4CA099CF0721759A53E37D387F1331C5D9C
ark:/67375/WNG-MCJ5XSZH-L
ArticleID:JAE3950100509
ObjectType-Article-1
SourceType-Scholarly Journals-1
content type line 14
ISSN:0883-7252
1099-1255
DOI:10.1002/jae.3950100509