Parametric and semiparametric estimation of sample selection models: an empirical application to the female labour force in Portugal

Danilo Coelho, Helena Veiga and Róbert Veszteg

UFAE and IAE Working Papers from Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC)

Abstract: This comment corrects the errors in the estimation process that appear in Martins (2001). The first error is in the parametric probit estimation, as the previously presented results do not maximize the log-likelihood function. In the global maximum more variables become significant. As for the semiparametric estimation method, the kernel function used in Martins (2001) can take on both positive and negative values, which implies that the participation probability estimates may be outside the interval [0,1]. We have solved the problem by applying local smoothing in the kernel estimation, as suggested by Klein and Spady (1993).

Keywords: parametric estimation; semiparametric estimation; sample selection model (search for similar items in EconPapers)
Pages: 6
Date: 2005-01-10
New Economics Papers: this item is included in nep-dcm, nep-edu, nep-lab and nep-ltv
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:aub:autbar:636.05

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