Climatic Factors as Determinants of International Migration: Redux
In: CESifo economic studies: a joint initiative of the University of Munich's Center for Economic Studies and the Ifo Institute, Band 63, Heft 4, S. 386-402
ISSN: 1612-7501
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In: CESifo economic studies: a joint initiative of the University of Munich's Center for Economic Studies and the Ifo Institute, Band 63, Heft 4, S. 386-402
ISSN: 1612-7501
In: Journal of development economics, Band 140, S. 127-144
ISSN: 0304-3878
World Affairs Online
In: World development: the multi-disciplinary international journal devoted to the study and promotion of world development, Band 74, S. 305-322
In: Migration studies, Band 8, Heft 3, S. 279-306
ISSN: 2049-5846
Abstract
High skilled migrants and the policies designed to attract and select such individuals are widely championed. In formulating and evaluating such policies, however, policy makers and academics alike face significant challenges, since, from the perspective of policy, what it means to be high skilled remains a fluid concept. The resulting ambiguity stymies meaningful international comparisons of the mobility of skills, undermines the design and evaluation of immigration policies and hinders the measurement of human capital. In this paper, we adopt an inductive approach to examine how high skilled migrants are classified based upon states' unilateral immigration policies, thereby highlighting the difficulties of comparing high skilled policies across countries. We further elucidate the challenges in measuring the outcomes of high skilled migration policies that arise due to differing national priorities in recording high skilled migrants. We conclude by making a number of policy recommendations, which if enacted, would bring clarity to scholars and policy makers alike in terms of being able to meaningfully compare the composition, and assess the efficacy of, high skilled migration policies across countries. In doing so we introduce three datasets comprising: harmonised high skill migration flow data, skilled occupational concordances and high skilled unilateral and bilateral migration policy data, which undergird our analysis and that can be built upon in years to come.