Arbeitspapier
The Copula Approach to Sample Selection Modelling: An Application to the Recreational Value of Forests
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.
- Sprache
-
Englisch
- Erschienen in
-
Series: Nota di Lavoro ; No. 73.2004
- Klassifikation
-
Wirtschaft
Multiple or Simultaneous Equation Models: Truncated and Censored Models; Switching Regression Models
Model Construction and Estimation
Public Goods
Recreational Aspects of Natural Resources
- Thema
-
Contingent valuation
Selectivity bias
Bivariate models
Copulas
Zahlungsbereitschaftsanalyse
Stichprobenerhebung
Systematischer Fehler
Tourismusregion
Wald
Multivariate Verteilung
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Strazzera, Elisabetta
Genius, Margarita
- Ereignis
-
Veröffentlichung
- (wer)
-
Fondazione Eni Enrico Mattei (FEEM)
- (wo)
-
Milano
- (wann)
-
2004
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Strazzera, Elisabetta
- Genius, Margarita
- Fondazione Eni Enrico Mattei (FEEM)
Entstanden
- 2004
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