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Probit Models for Grouped-data Migration Flows: A TheoreticalNote

Author

Listed:
  • Coro Chasco

    (Autonomous University of Madrid)

  • Patricio Aroca

    (Escuela de Negocios, Adolfo Ibáñez University, Chile)

  • Luc Anselin

    (University of Chicago)

Abstract

In this theoretical note, we propose the GProbit model as an alternative to gravity models to estimate grouped-data flows. This is a model based on the random utility theory, which is consistent with the principle of population behavior. Instead of migrant counts, the dependent variable of the GProbit model of flows consists of a number of observed proportions. It allows explaining the propensity to migrate from any origin to a destination, which is an interesting relative concept not affected by the size effect. For this reason, it is expected to have better fit and less problems of non-normality, as illustrated by an application for the internal migration flows of the Spanish regions.

Suggested Citation

  • Coro Chasco & Patricio Aroca & Luc Anselin, 2019. "Probit Models for Grouped-data Migration Flows: A TheoreticalNote," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 42(84), pages 1-8.
    • Handle: RePEc:pcp:pucrev:y:2019:i:84:p:1-8
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    References listed on IDEAS

    as
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