The Impact of Culture on Migrant Integration: Socioeconomic Meta-Analysis of the Epidemiological Literature [CULTIMA]

我们要求资助一项关于文化背景对移民行为影响的荟萃分析。移民融入东道国的速度有多快、程度有多深，以及可能融入东道国的程度如何，这一问题具有高度的政治、社会和经济重要性。相应地，实证研究得到了迅速发展，经济学和社会学的研究也在平行发展，但大多是相互脱节的。由于以下几个原因，文献的主体越来越难以总结：首先，结果多种多样，总体上没有结论。其次，研究在研究设计上存在很大差异，例如，关于数据、样本选择和建模。第三，选择性移民和制度性障碍，如歧视，是实证的挑战，阻碍了因果效应的识别，我们提出的元分析提供了一个全面和系统的文献综合，推动了这个固有的互异性主题的单学科研究的限制。元分析工具将帮助我们评估和解释不确定的发现。因此，我们可以测试，并在必要时，纠正出版偏见（只有统计上显著的结果预期的迹象被公布的可能性）在研究来源国对移民行为的影响。元回归将使我们能够探索方法的异质性，并得出比原始研究更普遍的结论，即祖先文化与个人行为之间的关系。最后，我们的项目有助于评估由于经验挑战而在测量因果效应时可能存在的偏差程度。

We request funding for a meta-analysis on the effects of cultural background on immigrant behavior. The question of how quickly and to what extent migrants integrate and, possibly, assimilate to the host country is of high political, social, and economic importance. Accordingly, empirical investigations have been developing rapidly, with parallel but mostly dis-connected research in economics and sociology. The body of literature is becoming increasingly hard to summarize, for several reasons: First, results are diverse and overall inconclusive. Second, studies differ substantially in research design, e.g., with respect to data, sample selection, and modelling. Third, selective migration and institutional barriers to integration, such as discrimination, are empirical challenges that hinder the identification of causal effects.Our proposed meta-analysis provides a comprehensive and systematic synthesis of the literature, pushing the limits of mono-disciplinary research on this inherently interdiscipli-nary topic. Meta-analytic tools will help us to assess and interpret inconclusive findings. Thereby we can test and, if necessary, correct for publication bias (the possibility that only statistically significant results of the expected sign are published) in research on source country effects on immigrant behavior. A meta-regression will allow us to explore methodological heterogeneity and draw more universal conclusions on the relationship between ancestry culture and individual behavior than primary studies are able to provide. Finally, our project contributes to assessing the extent of a possible bias in measuring causal effects due to empirical challenges.