Estimating a random-coefficients sample-selection model using generalized maximum entropy

Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2281

Title:	Estimating a random-coefficients sample-selection model using generalized maximum entropy
Authors:	PEETERS, Ludo
Issue Date:	2004
Publisher:	ELSEVIER SCIENCE SA
Source:	ECONOMICS LETTERS, 84(1). p. 87-92
Abstract:	We use the generalized maximum entropy (GME) method to estimate a sample-selection model and compare results with OLS and FIML. It is shown that GME outperforms FIML for small samples. In addition, we treat the heterogeneity of the units in the sample data by allowing coefficient vectors to deviate randomly from a common sample mean. (C) 2004 Elsevier B.V. All rights reserved.
Notes:	Univ Limburg, B-3590 Diepenbeek, Belgium.Peeters, LMK, Univ Limburg, Univ Campus,Gebouw D, B-3590 Diepenbeek, Belgium.ludo.peeters@luc.ac.be
Keywords:	generalized maximum entropy; sample-selection model; random coeflicients; small samples
Document URI:	http://hdl.handle.net/1942/2281
ISSN:	0165-1765
e-ISSN:	1873-7374
DOI:	10.1016/j.econlet.2003.12.014
ISI #:	000221991400014
Category:	A1
Type:	Journal Contribution
Validations:	ecoom 2005
Appears in Collections:	Research publications

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