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

Content Provider	Springer Nature Link
Author	Lavergne, Pascal Thomas, Alban
Copyright Year	2005
Abstract	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.
Starting Page	171
Ending Page	192
Page Count	22
File Format	PDF
ISSN	03777332
Journal	Empirical Economics
Volume Number	30
Issue Number	1
e-ISSN	14358921
Language	English
Publisher	Springer-Verlag
Publisher Date	2005-01-01
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Semiparametric and non parametric methods asymmetric and private information Statistics for Business/Economics/Mathematical Finance/Insurance Economics general Econometrics Economic Theory
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability Social Sciences Economics and Econometrics

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