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Identification and Estimation of Dichotomous Latent Variables Models Using Panel Data Author info | Abstract | Publisher info | Download info | Related research | Statistics Hsiao, Cheng
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Identification conditions for binary choice errors-in-variables models are explored. Conditions for the consistency and asymptotic normality of the maximum likelihood estimators of binary choice models with unbounded explanatory variables are given. Two- or three-step estimators to simplify computation are also suggested. Copyright 1991 by The Review of Economic Studies Limited.
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Article provided by Blackwell Publishing in its journal Review of Economic Studies .
Volume (Year): 58 (1991)
Issue (Month): 4 (July)
Pages: 717-31
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Handle: RePEc:bla:restud:v:58:y:1991:i:4:p:717-31Contact details of provider: Web page: http://www.blackwellpublishing.com/journal.asp?ref=0034-6527
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