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Semiparametric estimation and testing in models of adverse selection, with an aplication to environmental regulation

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  • Lavergne, Pascal
  • Thomas, A.

Abstract

We propose a flexible framework for estimating and testing structural models with adverse selection. This framework uses semiparametric methods for estimating consistently structural parameters of interest and for assesssing the results by testing procedures. We consider a problem of environmental regulation where firms are regulated through contracts. We show how to check parametric assumptions for the abatement cost function and test for neglected adverse selection. We then apply a semiparametric procedure for estimating models with adverse selection, that does not require to specify the distribution of the private information and avoids costly numerical procedures. The proposed framework can prove useful in a wide variety of problems where adverse selection can be present.

Suggested Citation

  • Lavergne, Pascal & Thomas, A., 1997. "Semiparametric estimation and testing in models of adverse selection, with an aplication to environmental regulation," DES - Working Papers. Statistics and Econometrics. WS 6221, Universidad Carlos III de Madrid. Departamento de Estadística.
    • Handle: RePEc:cte:wsrepe:6221
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    References listed on IDEAS

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    Cited by:

    1. Serge Garcia & Alban Thomas, 2003. "Regulation of Public Utilities under Asymmetric Information," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 26(1), pages 145-162, September.

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