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.
Estimating Economic Return of Internal Migration in Italy Applying a Two-Regime Endogenous-Switching Model
Giorgio Calzolari;Maria Gabriella Campolo;Antonino Di Pino Incognito
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2025-01-01
Abstract
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.File in questo prodotto:
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