Affiliation:
1. Department of Economics University of New Mexico Albuquerque NM 87131 USA
2. Department of Economics University of Northern Iowa Cedar Falls IA 50614 USA
Abstract
This paper shows that the frequency of migration can be best modeled by a zero-inflated Poisson process, because it takes into account the overwhelming presence of zeros (nonmigrants) in the data. A failure to do so can cause the coefficients to be biased and also result in poor prediction. The major finding is that by using a zero-inflated process, the performance of the model in predicting migration behavior is substantially improved. In addition, frequent movers tend to be white, nonunionized, and tend to have fewer children, less stable marriages, and more frequent occupational changes.
Subject
General Social Sciences,General Environmental Science
Cited by
17 articles.
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