Semiparametric estimation and testing in a model of environmental regulation with adverse selection

被引:3
|
作者
Lavergne, P
Thomas, A
机构
[1] Univ Toulouse 1, GREMAQ, CNRS, UMR 5064, F-31000 Toulouse, France
[2] Univ Toulouse 1, INRA, F-31000 Toulouse, France
[3] Univ Toulouse 1, LERNA, INRA, F-31042 Toulouse, France
关键词
semiparametric and non parametric methods; asymmetric and private information;
D O I
10.1007/s00181-004-0225-5
中图分类号
F [经济];
学科分类号
02 ;
摘要
We consider a principal-agent model of environmental regulation with adverse selection, where firms are regulated through contracts. We show how the model allows to recover information on structural cost parameters. We use a semiparametric method to estimate consistently such parameters without specifying the distribution of the agent's private information. We also show how to check for the specification of the econometric model, as well as auxiliary parametric assumptions, by means of specification tests based on nonparametric estimation. Results are used to discuss a selection of economic issues related to environmental regulation.
引用
收藏
页码:171 / 192
页数:22
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