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Activity Number:
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127
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Type:
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Contributed
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Date/Time:
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Monday, August 3, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Social Statistics Section
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| Abstract - #304976 |
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Title:
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Modeling Mexican Return Migration Decisions
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Author(s):
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Claudia P. Masferrer*+
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Companies:
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The University of Texas at Austin
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Address:
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606B Texas Avenue, Austin, TX, 78705,
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Keywords:
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Logit models ; Discrete-choice models ; Migration
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Abstract:
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This work investigates the utility of applying various models for return migration decisions. We study alternative models that fall in a broad class of polytomous choice models widely used when outcomes consist of categories of choices. The three conceptually plausible models that we consider are the classical multinomial logit, the nested logit and the sequential logit models. We describe and investigate the statistical concepts underlying these models and then provide an application to data of Mexican return U.S. migration. We find that these models are dependent on how researchers think of these decision processes and that, for this specific type of application, the sequential logit model offers more flexibility in terms of defining the decision structure and in terms of comparison and interpretation.
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