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Title: An exclusive regressors binary mixture model with an application to labour supply
Authors: Lu, Z.-H.
Brown, B.M. 
Keywords: Bayesian information criterion (BIC)
Constrained maximum likelihood
Local optima
Logistic regression
Parameter identifiability
Issue Date: Sep-2006
Citation: Lu, Z.-H., Brown, B.M. (2006-09). An exclusive regressors binary mixture model with an application to labour supply. Australian and New Zealand Journal of Statistics 48 (3) : 321-333. ScholarBank@NUS Repository.
Abstract: This paper suggests a new type of mixture regression model, in which each mixture component is explained by its own regressors. Thus, the dependent variable can be driven by one of several unobservable explanatory mechanisms, each of which has its own distinct variables. An extension of the simulated annealing algorithm is introduced to fit this general mixture model. The paper also suggests a new technique for estimating the covariance matrix of estimators in a mixture model. Finally, empirical studies of a labour supply example show that our proposed model can perform much better than conventional logistic or mixture models. © 2006 Australian Statistical Publishing Association Inc.
Source Title: Australian and New Zealand Journal of Statistics
ISSN: 13691473
DOI: 10.1111/j.1467-842X.2006.00443.x
Appears in Collections:Staff Publications

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