Spatial Differencing for Sample Selection Models
10 Pages Posted: 28 Nov 2016 Last revised: 14 Dec 2016
Date Written: November 1, 2016
Abstract
This paper uses spatial differencing to estimate parameters in sample selection models with unobserved heterogeneity. We show that under the assumption of smooth changes across the space of unobserved site-specific heterogeneity and selection probability, key parameters of a sample selection model are identified. A simple estimation procedure is proposed and the formula for the estimator of the standard error is derived.
Keywords: Sample selection, Spatial difference, Instrumental variable
JEL Classification: C13, C31
Suggested Citation: Suggested Citation
Klein, Alexander and Tchuente, Guy, Spatial Differencing for Sample Selection Models (November 1, 2016). Available at SSRN: https://ssrn.com/abstract=2875739 or http://dx.doi.org/10.2139/ssrn.2875739
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