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In recent years, internal migration in Italy has been increasingly characterized by flows of highly skilled and educated migrants, marking a shift from past trends. This dynamic introduces an additional layer of endogeneity in decision-making processes within models estimating the economic returns of migration. In this study, we apply a recent Maximum Likelihood approach to estimate endogenous switching models, offering a solution to the challenges of identification and endogeneity in migration decision-making.

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Estimating Economic Return of Internal Migration in Italy Applying a Two-Regime Endogenous-Switching Model

  • 会议论文

  • 发表日期：

    2025年

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  • Giorgio Calzolari,
  • Maria Gabriella Campolo,
  • Antonino Di Pino Incognito,
  • Laura Magazzini

摘要

In recent years, internal migration in Italy has been increasingly characterized by flows of highly skilled and educated migrants, marking a shift from past trends. This dynamic introduces an additional layer of endogeneity in decision-making processes within models estimating the economic returns of migration. In this study, we apply a recent Maximum Likelihood approach to estimate endogenous switching models, offering a solution to the challenges of identification and endogeneity in migration decision-making.