Estimation of a panel data sample selection model

Ekaterini Kyriazidou

Research output: Contribution to journalArticlepeer-review


We consider the problem of estimation in a panel data sample selection model, where both the selection and the regression equation of interest contain unobservable individual-specific effects. We propose a two-step estimation procedure, which "differences out" both the sample selection effect and the unobservable individual effect from the equation of interest. In the first step, the unknown coefficients of the "selection" equation are consistently estimated. The estimates are then used to estimate the regression equation of interest. The estimator proposed in this paper is consistent and asymptotically normal, with a rate of convergence that can be made arbitrarily close to n-1/2, depending on the strength of certain smoothness assumptions. The finite sample properties of the estimator are investigated in a small Monte Carlo simulation.

Original languageEnglish (US)
Pages (from-to)1335-1364
Number of pages30
Issue number6
StatePublished - Nov 1997


  • Individual-specific effects
  • Panel data
  • Sample selection

ASJC Scopus subject areas

  • Economics and Econometrics


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