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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
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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
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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