Spatial differentiation for sample selection models

Alex Klein and Guy Tchuente

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.

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Year of publication:	[2017]
Authors:	Klein, Alexander ; Tchuente, Guy
Publisher:	Canterbury, Kent : School of Economics, Keynes College, University of Kent
Subject:	Sample selection \| spatial difference \| instrumental variable \| Stichprobenerhebung \| Sampling \| Theorie \| Theory \| Räumliche Verteilung \| Spatial distribution \| Regionalökonomik \| Regional economics \| Schätzung \| Estimation

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Extent:	1 Online-Ressource (circa 12 Seiten)
Series:	Discussion papers / University of Kent, School of Economics. - Canterbury : [Verlag nicht ermittelbar], ZDB-ID 2196631-X. - Vol. KDPE 1701 (December 2016)
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Arbeitspapier ; Working Paper ; Graue Literatur ; Non-commercial literature
Language:	English
Other identifiers:	hdl:10419/175512 [Handle]
Classification:	C13 - Estimation ; C31 - Cross-Sectional Models; Spatial Models
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10011598535