The Copula Approach to Sample Selection Modelling: An Application to the Recreational Value of Forests

32 Pages Posted: 11 Jun 2004

Date Written: April 2004

Abstract

The sample selection model is based upon a bivariate or a multivariate structure, and distributional assumptions are in this context more severe than in univariate settings, due to the limited availability of tractable multivariate distributions. While the standard FIML estimation of the selectivity model assumes normality of the joint distribution, alternative approaches require less stringent distributional hypotheses. As shown by Smith (2003), copulas allow great flexibility also in FIML models. The copula model is very useful in situations where the applied researcher has a prior on the distributional form of the margins, since it allows separating their modelling from that of the dependence structure. In the present paper the copula approach to sample selection is first compared to the semiparametric approach and to the standard FIML, bivariate normal model, in an illustrative application on female work data. Then its performance is analysed more thoroughly in an application to Contingent Valuation data on recreational values of forests.

Keywords: Contingent valuation, Selectivity bias, Bivariate models, Copulas

JEL Classification: C34, C51, H41, Q26

Suggested Citation

Genius, Margarita and Strazzera, Elisabetta, The Copula Approach to Sample Selection Modelling: An Application to the Recreational Value of Forests (April 2004). FEEM Working Paper No. 73.04. Available at SSRN: https://ssrn.com/abstract=546522 or http://dx.doi.org/10.2139/ssrn.546522

Margarita Genius

University of Crete ( email )

GR-74100 Rethymnon, GR-74100
Greece

Elisabetta Strazzera (Contact Author)

Universita di Cagliari ( email )

CRENOS and DRES Via Fra Ignazio, 78
I-09123 Cagliari
Italy
+39 070 675 3763 (Phone)
+39 070 675 3760 (Fax)

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