Article

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

Pascal Lavergne, and Alban Thomas

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.

Keywords

Semiparametric and non parametric methods; asymmetric and private information;

JEL codes

  • C14: Semiparametric and Nonparametric Methods: General
  • D82: Asymmetric and Private Information • Mechanism Design

Reference

Pascal Lavergne, and Alban Thomas, Semiparametric estimation and testing in a model of environmental regulation with adverse selection, Empirical Economics, vol. 30, n. 1, 2006, pp. 1711–192.

See also

Published in

Empirical Economics, vol. 30, n. 1, 2006, pp. 1711–192