| 来源类型 | FEEM working papers "Note di lavoro" series |
| 规范类型 | 论文 |
| The Copula Approach to Sample Selection Modelling: An Application to the Recreational Value of Forests | |
| Elisabetta Strazzera; Margarita Genius | |
| 发表日期 | 2004 |
| 出处 | Climate Change and Sustainable Development |
| 出版年 | 2004 |
| 语种 | 英语 |
| 摘要 | 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. |
| 特色分类 | C34,C51,H41,Q26 |
| 关键词 | Contingent valuation,Selectivity bias,Bivariate models,Copulas |
| URL | https://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/the-copula-approach-to-sample-selection-modelling-an-application-to-the-recreational-value-of-forests/ |
| 来源智库 | Fondazione Eni Enrico Mattei (Italy) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/117024 |
| 推荐引用方式 GB/T 7714 | Elisabetta Strazzera,Margarita Genius. The Copula Approach to Sample Selection Modelling: An Application to the Recreational Value of Forests. 2004. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| NDL2004-073.pdf（1132KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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