Why Did People Move During the Great Recession?: The Role of Economics in Migration Decisions.

IF 3.9 1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY
Brian L Levy, Ted Mouw, Anthony Daniel Perez
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引用次数: 13

Abstract

Labor migration offers an important mechanism to reallocate workers when there are regional differences in employment conditions. Whereas conventional wisdom suggests migration rates should increase during recessions as workers move out of areas that are hit hardest, initial evidence suggested that overall migration rates declined during the Great Recession, despite large regional differences in unemployment and growth rates. In this paper, we use data from the American Community Survey to analyze internal migration trends before and during the economic downturn. First, we find only a modest decline in the odds of adults leaving distressed labor market areas during the recession, which may result in part from challenges related to the housing price crash. Second, we estimate conditional logit models of destination choice for individuals who migrate across labor market areas and find a substantial effect of economic factors such as labor demand, unemployment, and housing values. We also estimate latent class conditional logit models that test whether there is heterogeneity in preferences for destination characteristics among migrants. Over all, the latent class models suggest that roughly equal percentages of migrants were motivated by economic factors before and during the recession. We conclude that fears of dramatic declines in labor migration seem to be unsubstantiated.

为什么人们会在大萧条时期搬家?经济学在移民决策中的作用。
在就业条件存在地区差异的情况下,劳动力迁移为劳动力再配置提供了重要机制。传统观点认为,在经济衰退期间,随着工人离开受打击最严重的地区,移民率应该会上升,但初步证据表明,在大衰退期间,尽管失业率和增长率存在巨大的地区差异,但总体移民率有所下降。在本文中,我们使用美国社区调查的数据来分析经济衰退之前和期间的内部移民趋势。首先,我们发现,在经济衰退期间,成年人离开陷入困境的劳动力市场地区的几率仅略有下降,这在一定程度上可能是由于与房价崩溃相关的挑战。其次,我们估计了跨劳动力市场地区迁移的个人目的地选择的条件logit模型,并发现了劳动力需求、失业率和住房价值等经济因素的实质性影响。我们还估计了潜在类别条件logit模型,该模型用于测试移民对目的地特征的偏好是否存在异质性。总体而言,潜在阶级模型表明,在经济衰退之前和期间,受经济因素驱动的移民比例大致相等。我们的结论是,对劳动力迁移急剧下降的担忧似乎是没有根据的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Rsf-The Russell Sage Journal of the Social Sciences
Rsf-The Russell Sage Journal of the Social Sciences SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
7.00
自引率
5.30%
发文量
43
审稿时长
53 weeks
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