Estimation of a panel data sample selection model

Aikaterini Kyriazidou

Research output: Contribution to journalArticle

Abstract

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
JournalEconometrica
Volume65
Issue number6
DOIs
StatePublished - Jan 1 1997

Fingerprint

Sample selection model
Estimator
Panel data
Sample selection
Two-step estimation
Monte Carlo simulation
Coefficients
Finite sample properties
Rate of convergence
Individual effects
Selection effects

Keywords

  • Individual-specific effects
  • Panel data
  • Sample selection

ASJC Scopus subject areas

  • Economics and Econometrics

Cite this

Estimation of a panel data sample selection model. / Kyriazidou, Aikaterini.

In: Econometrica, Vol. 65, No. 6, 01.01.1997, p. 1335-1364.

Research output: Contribution to journalArticle

Kyriazidou, Aikaterini. / Estimation of a panel data sample selection model. In: Econometrica. 1997 ; Vol. 65, No. 6. pp. 1335-1364.
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