@article{f762e053a57341739e917e68dbedae4f,
title = "Social identity and labor market outcomes of internal migrant workers",
abstract = "Previous research on internal mobility has neglected the role of local identity contrary to studies analyzing international migration. Examining social identity and labor market outcomes in China, the country with the largest internal mobility in the world, closes the gap. Instrumental variable estimation and careful robustness checks suggest that identifying as local associates with higher migrants{\textquoteright} hourly wages and lower hours worked, although monthly earnings seem to remain largely unchanged. Migrants with strong local identity are more likely to use local networks in job search, and to obtain jobs with higher average wages and lower average hours worked, suggesting the value of integration policies.",
keywords = "Assimilation, China's great migration, Internal mobility, Labor market, Migration, Social identity",
author = "Shu Cai and Zimmermann, {Klaus F.}",
note = "Funding Information: We thank the editor Robert M. Sauer and two anonymous referees for their helpful comments and suggestions. We are grateful to Fran{\c c}ois Bourguignon, Corrado Giulietti, Lingqing Jiang, Patrick Kline, Xin Meng, Matloob Piracha, Panu Poutvaara, Ronnie Sch{\"o}b, Yuanwei Xu and participants at the third RUC–GLO Conference, the International Economic Association World Congress, the Eastern Economic Association Conference, the African Productivity Conference, the 2022 Asian Meeting of the Econometric Society, the European Association of Labour Economists Conference 2022, the GLO Global Conference 2022, the 2023 Annual Meeting of the American Economic Association, the 36th Annual Conference of the European Society for Population Economics, the Global Lecture Series on Chinese Economy, SITES 2023 in Naples, the 2023 Annual Meeting of the Chinese Labor Society in Beijing, and seminars at Jinan University, Renmin University of China, Shanghai Lixin University of Accounting and Finance, and Free University Berlin for their valuable comments. We thank the Migrant Population Service Center of the National Health Commission of China for making the Dynamic Monitoring Survey Data of Migrant Population available to us, and Yuyun Liu for providing the digital version of linguistic data. We also thank Xingjian Zhang and Wei Li for excellent research assistance. Shu Cai thanks financial support from China Natural Science Foundation (Project No. 72173056) and the Fundamental Research Funds for the Central Universities (Project No. 23JNQMX29). All remaining errors are our own. Funding Information: We thank the editor Robert M. Sauer and two anonymous referees for their helpful comments and suggestions. We are grateful to Fran{\c c}ois Bourguignon, Corrado Giulietti, Lingqing Jiang, Patrick Kline, Xin Meng, Matloob Piracha, Panu Poutvaara, Ronnie Sch{\"o}b, Yuanwei Xu and participants at the third RUC–GLO Conference, the International Economic Association World Congress, the Eastern Economic Association Conference, the African Productivity Conference, the 2022 Asian Meeting of the Econometric Society, the European Association of Labour Economists Conference 2022, the GLO Global Conference 2022, the 2023 Annual Meeting of the American Economic Association, the 36th Annual Conference of the European Society for Population Economics, the Global Lecture Series on Chinese Economy, SITES 2023 in Naples, the 2023 Annual Meeting of the Chinese Labor Society in Beijing, and seminars at Jinan University, Renmin University of China, Shanghai Lixin University of Accounting and Finance, and Free University Berlin for their valuable comments. We thank the Migrant Population Service Center of the National Health Commission of China for making the Dynamic Monitoring Survey Data of Migrant Population available to us, and Yuyun Liu for providing the digital version of linguistic data. We also thank Xingjian Zhang and Wei Li for excellent research assistance. Shu Cai thanks financial support from China Natural Science Foundation (Project No. 72173056) and the Fundamental Research Funds for the Central Universities (Project No. 23JNQMX29). All remaining errors are our own. Publisher Copyright: {\textcopyright} 2024 The Author(s)",
year = "2024",
month = apr,
day = "1",
doi = "10.1016/j.euroecorev.2024.104676",
language = "English",
volume = "163",
journal = "European Economic Review",
issn = "0014-2921",
publisher = "Elsevier Science",
}