Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/59086 
Year of Publication: 
2010
Citation: 
[Journal:] Revista de Métodos Cuantitativos para la Economía y la Empresa [ISSN:] 1886-516X [Volume:] 10 [Publisher:] Universidad Pablo de Olavide [Place:] Sevilla [Year:] 2010 [Pages:] 99-120
Publisher: 
Universidad Pablo de Olavide, Sevilla
Abstract: 
In this paper we analyze empirically different specifications of a sample selection model. We are interested in how the estimates vary across alternative assumptions concerning the joint conditional distribution of the sample selection equation errors, such us the specification of error distribution, the functional relationship of the index function and heteroskedasticity. To do this, we estimate a wage equation for the Spanish labor market using two different approaches: Maximum Likelihood and Two-Step Methods. For the latter, three alternative semiparametric procedures are used to compute the sample selection mechanism, and thus three alternative two-step estimators of the parameters of the wage equation are obtained. We compare theses estimates with Heckman's approach.
Subjects: 
sample selection models
distributional assumptions
semipara-metric two-step estimation methods
JEL: 
C14
C25
J64
Creative Commons License: 
cc-by-sa Logo
Document Type: 
Article

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