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The internal relocation premium: are migrants positively or negatively selected? Evidence from Italy

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  • Andrea Cutillo
  • Claudio Ceccarelli

Abstract

This paper analyzes the wage returns from internal migration for recent graduates in Italy. We employ a switching regression model that accounts for the endogeneity of the individual's choice to relocate to get a job after graduation: the omission of this selection decision can lead to biased estimates, as there is potential correlation between earnings and unobserved traits, exerting an influence on the decision to migrate. The empirical results sustain the appropriateness of the estimation technique and show that there is a significant pay gap between migrants and non-migrants; migrants seem to be positively selected and the migration premium is downward biased through OLS estimates. The endogeneity of migration shows up both as a negative intercept effect and as a positive slope effect, the second being larger than the first: bad knowledge of the local labor market and financial constraints lead migrants to accept a low basic wage but, due to relevant returns to their characteristics, they finally obtain a higher wage than the others.

Suggested Citation

  • Andrea Cutillo & Claudio Ceccarelli, 2012. "The internal relocation premium: are migrants positively or negatively selected? Evidence from Italy," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(6), pages 1263-1278, November.
  • Handle: RePEc:taf:japsta:v:39:y:2012:i:6:p:1263-1278
    DOI: 10.1080/02664763.2011.644529
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    References listed on IDEAS

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    1. Napolitano, Oreste & Bonasia, Mariangela, 2010. "Determinants of different internal migration trends: the Italian experience," MPRA Paper 21734, University Library of Munich, Germany.
    2. Ran Abramitzky, 2008. "Testing Self-Selection in Migration: Evidence from the Israeli Kibbutz," Discussion Papers 07-051, Stanford Institute for Economic Policy Research.
    3. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
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