Similar Search Results

An instrumental variable random coefficients model for binary outcomes

Chesher, Andrew; Rosen, Adam - Centre for Microdata Methods and Practice (CEMMAP) - 2012

In this paper we study a random coefficient model for a binary outcome. We allow for the possibility that some or even all of the regressors are arbitrarily correlated with the random coefficients, thus permitting endogeneity. We assume the existence of observed instrumental variables Z that are...

Persistent link: https://www.econbiz.de/10010593710

Simultaneous equations for discrete outcomes:coherence, completeness, and identification.

Chesher, Andrew; Rosen, Adam - Centre for Microdata Methods and Practice (CEMMAP) - 2012

This paper studies simultaneous equations models for two or more discrete outcomes. These models may be incoherent, delivering no values of the outcomes at certain values of the latent variables and covariates, and they may be incomplete, delivering more than one value of the outcomes at certain...

Persistent link: https://www.econbiz.de/10010567020

Generalised instrumental variable models

Chesher, Andrew; Rosen, Adam - Centre for Microdata Methods and Practice (CEMMAP) - 2013

The ability to allow for flexible forms of unobserved heterogeneity is an essential ingredient in modern … unobserved heterogeneity to endogenous variables need not admit a unique inverse. The class of GIV models allows unobservables to … practical limitations on the role of unobserved heterogeneity. Important examples include models with discrete or mixed …

Persistent link: https://www.econbiz.de/10010827509

What do instrumental variable models deliver with discrete dependent variables?

Chesher, Andrew; Rosen, Adam - Centre for Microdata Methods and Practice (CEMMAP) - 2013

We study models with discrete endogenous variables and compare the use of two stage least squares (2SLS) in a linear probability model with bounds analysis using a nonparametric instrumental variable model. 2SLS has the advantage of providing an easy to compute point estimator of a slope...

Persistent link: https://www.econbiz.de/10010827566

Welfare measurement and measurement error

Chesher, Andrew; Schluter, Christian - Centre for Microdata Methods and Practice (CEMMAP) - 2001

The approximate effects of measurement error on a variety of measures of inequality and poverty are derived. They are shown to depend on the measurement error variance and functionals of the error contaminated income distribution, but not on the form of the measurement error distribution, and to...

Persistent link: https://www.econbiz.de/10005727680