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Jing Li

Research Interests

Comparative Political Economy, Causal Inference, Computational Methods.

Education

PhD in Political Science (Comparative Politics, American Politics, Political Methodology), University of Illinois at Urbana-Champaign, 2020.09-2025.05 (expected).

Master of Science in Applied Statistics, University of Illinois at Urbana-Champaign, May 2023.

Master of Arts in Political Economy, University of Waterloo, May 2015.

Courses Taught

PS 532-Quant Pol Analysis III, Department of Political Science (UIUC)  2023.09-2023.12  Teaching assistant

PS 531-Quant Pol Analysis II, Department of Political Science (UIUC)  2024.09-2025.05  Teaching assistant

PS 530-Quant Pol Analysis I, Department of Political Science (UIUC)  2023.09-2024.12  Teaching assistant

Interactive Web Mapping: https://jingl8.github.io/interactivewebmap/

Geographically Weighted Regression: https://jingl8.github.io/spatialanalysis

 

 

Recent Publications

Area under the ROC Curve has the most consistent evaluation for binary classification, PLOS ONE, https://doi.org/10.1371/journal.pone.0316019.

More precise causal effect estimates: a propensity score-augmented approach to quantify uncertainty of ATE estimates (under review), https://arxiv.org/abs/2310.11683

Context matters: re-assessing the skill endowment model prediction of globalization attitudes (under review)