Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2281
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dc.contributor.authorPEETERS, Ludo-
dc.date.accessioned2007-11-13T13:47:27Z-
dc.date.available2007-11-13T13:47:27Z-
dc.date.issued2004-
dc.identifier.citationECONOMICS LETTERS, 84(1). p. 87-92-
dc.identifier.issn0165-1765-
dc.identifier.urihttp://hdl.handle.net/1942/2281-
dc.description.abstractWe 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.-
dc.language.isoen-
dc.publisherELSEVIER SCIENCE SA-
dc.subject.othergeneralized maximum entropy; sample-selection model; random coeflicients; small samples-
dc.titleEstimating a random-coefficients sample-selection model using generalized maximum entropy-
dc.typeJournal Contribution-
dc.identifier.epage92-
dc.identifier.issue1-
dc.identifier.spage87-
dc.identifier.volume84-
local.format.pages6-
local.bibliographicCitation.jcatA1-
dc.description.notesUniv Limburg, B-3590 Diepenbeek, Belgium.Peeters, LMK, Univ Limburg, Univ Campus,Gebouw D, B-3590 Diepenbeek, Belgium.ludo.peeters@luc.ac.be-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.doi10.1016/j.econlet.2003.12.014-
dc.identifier.isi000221991400014-
item.accessRightsClosed Access-
item.contributorPEETERS, Ludo-
item.fullcitationPEETERS, Ludo (2004) Estimating a random-coefficients sample-selection model using generalized maximum entropy. In: ECONOMICS LETTERS, 84(1). p. 87-92.-
item.fulltextNo Fulltext-
item.validationecoom 2005-
crisitem.journal.issn0165-1765-
crisitem.journal.eissn1873-7374-
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