Nonparametric Estimation for Regulation Models

Andreea Enache and Jean-Pierre Florens

Annals of Economics and Statistics, 2018, issue 131, 45-58

Abstract: This paper presents a nonparametric structural analysis of a class of contract models à la Baron, Myerson, et al. (1982). Our analysis is based on a well-posed inverse problem linking the quantile function of the observations and the functional parameter of interest. The resolution of this problem gives the identification properties of the model and leads to an estimation procedure. We provide implementation and asymptotic properties of this type of L-estimator. We extend our analysis by introducing an instrumental variable estimator of the cost function.

Keywords: L-functionals; Regulation Models; Principal-Agent Model; Adverse Selection; Nonparametric Statistics; Structural Econometrics. (search for similar items in EconPapers)
JEL-codes: C40 D86 L51 (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (6)

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Working Paper: Non parametric estimation for regulation models (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:adr:anecst:y:2018:i:131:p:45-58

DOI: 10.15609/annaeconstat2009.131.0045

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