Semiparametric estimation of employment duration models

Joel L. Horowitz, George R. Neumann

Research output: Contribution to journalArticlepeer-review

28 Scopus citations


There are a variety of economic areas, such as studies of employment duration and of the durability of capital goods, in which data on important variables typically are censored. The standard techniques for estimating a model from censored data require the distributions of unobservable random components of the model to be specified a priori up to a finite set of parameters, and misspecification of these distributions usually leads to inconsistent parameter estimates. However, economic theory rarely gives guidance about distributions and the standard estimation techniques do not provide convenient methods for identifying distributions from censored data. Recently, several distribution-free or semiparametric methods for estimating censored regression models have been developed. This paper presents the results of using two such methods to estimate a model of employment duration. The paper reports the operating characteristics of the semiparametric estimators and compares the semiparametric estimates with those obtained from a standard parametric model.

Original languageEnglish (US)
Pages (from-to)5-40
Number of pages36
JournalEconometric Reviews
Issue number1
StatePublished - Jan 1 1987


  • censored regression model
  • distribution-free estimation
  • duration analysis
  • quantile estimation
  • semiparametric estimation
  • semiparametric generalized least squares estimation

ASJC Scopus subject areas

  • Economics and Econometrics

Fingerprint Dive into the research topics of 'Semiparametric estimation of employment duration models'. Together they form a unique fingerprint.

Cite this