Despite the popular narrative that the United States is a "land of mobility," its internal migration rates have declined for decades, and reached a historical low. Economic and related factors were able to account for a portion of this trend, but the bulk has remained unexplained. Here, we propose a systemic, relational model of internal migration in the U.S., combining demographic, economic, political, and geographical factors with endogenous social mechanisms, with the objective of identifying factors limiting migration rates. We implement this model using valued temporal exponential-family random graph models, allowing us to calibrate it to the (valued) network of intercounty U.S. migration flows during the 2011-2015 period. Our analysis reveals a pattern of segmented immobility, where fewer people migrate between counties with dissimilar political contexts, levels of urbanization, and racial compositions. Probing our model using "knockout" experiments suggests that one would have observed approximately 3 million (17%) more intercounty migrants over the study period were the segmented immobility mechanisms inoperative. This analysis suggests that internal migration in the current era is driven not only by demographic and economic factors, but also cultural and political ones. It also reveals social and political cleavages that underlie geographical immobility in America.
翻译:尽管美国是一个“流动性之地”,但其国内移徙率几十年来一直在下降,并达到了历史低点。经济和相关因素能够占到这一趋势的一部分,但大部分仍无法解释。在这里,我们提出了美国内部移徙的系统、关系模式,将人口、经济、政治和地理因素与本土社会机制相结合,目的是确定限制移徙率的因素。我们采用这一模式,使用有价值的时间指数-家庭随机图模型,使我们能够将其与2011-2015年期间美国国家间移徙流动(价值)网络相匹配。我们的分析揭示了一种分化的不流动模式,即政治背景、城市化水平和种族构成不一的州之间移徙人数较少。我们使用“打击”实验的模式表明,在研究期间,将观察到约300万(17%)更多的国家间移徙者是分化的不流动性机制。这一分析表明,当前时代的内部移徙不仅受到人口和经济因素的驱动,而且受到文化和政治不稳定性的影响。它也揭示了美国的社会和政治可持续性。