This paper examines the labor market incorporation of skilled Indian migrants returning home after working in the United States. I analyze a novel dataset of 7,177 time-varying transnational employment histories from LinkedIn using logistic regression and survival analysis. I find that skilled Indian migrants experience occupational upgrades when re-entering their home labor market, buoyed by foreign human capital and compensating for US legal status restrictions. While immigrants often face initial occupational downgrades and job mobility constraints in foreign labor markets, return migrants experience stability, promotions and accelerated rates of job mobility at home. The paper contributes to the literature on return migration, a significant but understudied dimension of international migration due to data constraints. I offer LinkedIn employment histories as digital data source to address these limitations and leverage their rich spatio-temporal information. These data help expand prior research on return migrant wages to broader questions about transnational migrant career trajectories. The findings shed light into where high-demand migrants might maximize their career growth, and have implications for understanding the policies shaping the recruitment and retention of skilled workers in the global labor market.

中文翻译：

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不断上升：技术回国移民的工作流动性


本文研究了在美国工作后返回家乡的印度技术移民的劳动力市场融入情况。我使用逻辑回归和生存分析分析了来自 LinkedIn 的 7,177 个时变跨国就业历史的新数据集。我发现，在外国人力资本的推动下，熟练的印度移民在重新进入本国劳动力市场时经历了职业升级，并弥补了美国的法律地位限制。虽然移民在外国劳动力市场通常面临最初的职业降级和工作流动性限制，但回国移民在国内会体验到稳定、晋升和加速的工作流动性。该论文为有关回流移民的文献做出了贡献，由于数据限制，回流移民是国际移民的一个重要但研究不足的维度。我提供 LinkedIn 工作历史作为数字数据源，以解决这些限制并利用其丰富的时空信息。这些数据有助于将先前关于移民工资返还的研究扩展到有关跨国移民职业轨迹的更广泛问题。研究结果揭示了高需求移民可以在哪些方面最大限度地提高他们的职业发展，并对理解全球劳动力市场招聘和留住技术工人的政策具有重要意义。