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Li Li

East China Normal University, China

It is my pleasure to be a part of this meaningful project. I hope that academics and policymakers worldwide will consider IZA World of Labor to be an important channel to quickly learn the latest progress of research on a wide range of issues in labor policy

IZA World of Labor role

Author

Current position

Assistant Professor, Faculty of Economics and Management, East China Normal University (ECNU), China

Research interest

Labor economics, development economics, applied microeconometrics

Website

https://liliecon.weebly.com/

Past positions

Research Fellow, Institute of Water Policy in the Lee Kuan Yew School of Public Policy, NUS

Qualifications

PhD Economics, National University of Singapore

Selected publications

  • “Early life exposure to tap water and the development of cognitive skills.” Journal of Human Resources (Forthcoming) (with Chen Jie Yvonne and Xiao Yun).

  • “New Cooperative Medical Scheme (NCMS) and medical expenditure in rural China.” Pacific Economic Review 24:1 (2019): 46–68.

  • “Private sector participation and performance of county water utilities in China.” China Economic Review 52 (2018): 30–53.

  • “Education on the cheap: The long-run effects of a free compulsory education reform in rural China.” Journal of Comparative Economics 45:3 (2017): 544–562 (with Xiao Yun and Zhao Liqiu).

  • “Primary school availability and middle school education in rural China.” Labour Economics 28 (2014): 24–40 (with Liu Haoming).

article(s)

  • The quantity–quality fertility–education trade-off Updated

    Policies to reduce fertility in developing countries generally boost education levels, but only slightly

    Haoming LiuLi Li, March 2022
    At the national level, it has long been observed that a country's average education level is negatively associated with its total fertility rate. At the household level, it has also been well documented that children's education is negatively associated with the number of children in the family. Do these observations imply a causal relationship between the number of children and the average education level (the quantity–quality trade-off)? A clear answer to this question will help both policymakers and researchers evaluate the total benefit of family planning policies, both policies to lower fertility and policies to boost it.
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