Jing Liu

Jing Liu is an Assistant Professor in Education Policy at the University of Maryland College Park. Named as a National Academy of Education Sciences/Spencer Dissertation Fellow, he earned my Ph.D. in Economics of Education from Stanford University in 2018. Before joing UMD, he was a Postdoctoral Research Associate at Brown University’s Annenberg Institute.

Jing's research uses rigorous quantitative evidence to evaluate and inform education policies at the national, state, and local levels, with the goal of improving learning opportunities for historically marginalized students in urban areas. His work broadly engages with critical policy issues including student absenteeism, exclusionary discipline, educator’s labor market, school reform, and higher education. Grounded in economic theory and policy analysis, he uses both quasi-experimental designs and data science methods such as computational linguistic analysis to analyze large administrative data and unstructured information. Most of his current projects focus on understanding the development of student engagement, behavior, and social emotional skills, how these skills and dispositions contribute to student success in the short and long run, and what the implications are for improving equal educational opportunities.

Liu CV81.75 KB

Min Sun, Jing Liu, Junmeng Zhu, Zachary LeClair. (2019). Educational Evaluation and Policy Analysis
Emily Penner, Jane Rochmes, Jing Liu, Sabrina Solanki, Susanna Loeb. (2019). RSF: The Russell Sage Foundation Journal of the Social Sciences, 5(3), 103-127
Shiyu Bo, Jing Liu, Ji-Liang Shiu, Yan Song, Sen Zhou. (2018). Economics of Education Review
Jing Liu, Susanna Loeb. (2016). Evidence Speaks Reports - The Brookings Institution
Eric Bettinger, Jing Liu, Susanna Loeb. (2016). Journal of Policy Analysis and Management, 35(4), 763-791
Jing Liu