4 research outputs found

    The Selection of High-Skilled Emigrants

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    We measure selection among high-skilled emigrants from Germany using predicted earnings. Migrants to less equal countries are positively selected relative to nonmigrants, while migrants to more equal countries are negatively selected, consistent with the prediction in Borjas (1987). Positive selection to less equal countries reflects university quality and grades, and negative selection to more equal countries reflects university subject and gender. Migrants to the United States are highly positively selected and concentrated in STEM fields. Our results highlight the relevance of the Borjas model for high-skilled individuals when credit constraints and other migration barriers are unlikely to be binding

    International Emigrant Selection on Occupational Skills: Replication Files

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    This files contain data and codes necessary to replicate the results in the paper „International Emigrant Selection on Occupational Skills“ by Alexander Patt, Jens Ruhose, Simon Wiederhold, and Miguel Flores. Please consult the README for further instructions.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

    Cross-nationally comparative research on racial and ethnic skill disparities: Questions, findings, and pitfalls

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    In this chapter we offer a systematic review of cross-national research that uses direct assessment data of skills to study racial and ethnic skill disparities between 2000 and 2017. We identify four research questions, focussing on (1) individual predictors, (2) school-level predictors, (3) predictors related to the contexts of reception/destination countries, and (4) predictors related to origin countries/ethnicity. This research focuses on predicting how immigrant children and the children of immigrants achieve on direct tests of skills administered in large scale, cross-national assessment data (e.g. Pisa). While research on individual predictors and school characteristics remains important in cross-national comparisons, the most innovative contributions to the literature arguably focus on explaining destination and origin country differences. In cross-national comparisons, research questions move away from comparing distinct groups of immigrants, and towards characteristics of origin and destination countries. This literature relies on quantitative research methods (most notably multilevel analyses) and takes a positivistic approach to the social sciences. Research is published mostly in international journals, and written in english. The research is mostly done independent of national governments. However, policy-makers in various countries have demonstrated to attach great value to international rankings of countries’ performance on achievement tests. As such, findings in this literature will be of great importance to governments
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