centre for microdata methods and practice

ESRC centre

cemmap is an ESRC research centre

ESRC

Keep in touch

Subscribe to cemmap news

Construction of structural functions in nonseparable conditional independence models

Authors: Sami Stouli
Date: 21 November 2012
Type: External publications,

Abstract

This paper considers identifi cation and estimation in models imposing conditional independence restrictions and featuring a scalar disturbance. It is shown that for this class of models the disturbance is endowed with a specifi c structure that is highlighted and exploited to obtain full knowledge of the structural function. Structural eff ects of a policy or treatment are allowed to vary across subpopulations that can be located on the joint distribution of unobservables of the model. In nonseparable triangular models with continuous endogenous variables this approach delivers identifi cation of structural functions conditional on values of the control variable. These results are obtained after a reanalysis of local identification in nonseparable triangular models, where the connection between Chesher (2003) and Imbens and Newey (2009) is made explicit. It is also shown that in the presence of nonmonotone continuous instruments, nonseparable triangular models are always overidentifying. A generic estimation framework is described, and an analog estimator based on a new regression method ("dual regression") is proposed. An empirical application illustrates the methodology by estimating gasoline demand functions in the United States. Download full version

Publications feeds

Subscribe to cemmap working papers via RSS

Search cemmap

Search by title, topic or name.

Contact cemmap

Centre for Microdata Methods and Practice

How to find us

Tel: +44 (0)20 7291 4800

E-mail us