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Activity Number:
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507
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Type:
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Contributed
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Date/Time:
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Thursday, August 2, 2007 : 8:30 AM to 10:30 AM
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Sponsor:
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Business and Economics Statistics Section
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| Abstract - #310310 |
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Title:
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A Mixture of Binary Logistic Regression Analysis on Labor Supply of Mothers with Disabled Children
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Author(s):
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Zeng-Hua Lu*+
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Companies:
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University of South Australia
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Address:
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School of Mathematics and Statistics, Adelaide, 5001, Australia
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Keywords:
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Mixture regression models ; Switching regression models ; Model selection criterion ; EM algorithm ; binary data
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Abstract:
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This paper formulates a mixture model for modeling unobserved heterogeneity of explanatory mechanism. Our model allows for different sets of regressors, and/or different interactions among the same regressors in different regression regimes. The model is demonstrated with particular interest to the binary dependent variable. A two-step procedure is proposed for model identification. The first step is to identify the number of regression regimes with each regime including all regressors. The second step is to select regressors in the regression regimes. The results of our simulation studies suggest that the procedure works well. The model is applied to study labor supply of mothers with disabled children in Australia.
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