Curriculum Vitae
Education
University College LondonMPhil/PhD in Economics, 2022 -
University College London
MRes in Economics, 2022 -
National Taiwan University
M.A. in Economics, 2019 -
National Taipei University
B.A. in Economics, 2017 -
Research Interest
- Causal Machine Learning
- High-Dimensional Causal Inference
- Matrix Completion and Synthetic Control
- Quantile and Distribution Methods
Publication, Working Paper & Work in Progress
Working Paper & Work in Progress
-
Inferring Treatment Effects in Large Panels by Uncovering Latent Similarities
(with Ben Deaner and Andrei Zeleneev) - Event Study with Time-Adjusted Synthetic Control
Publication
-
Causal Random Forests Model Using Instrumental Variable Quantile Regression
Econometrics, 2019, 7(4), 1-22.
Jau-er Chen, Chen-Wei Hsiang
Abstract: We propose an econometric procedure based mainly on the generalized random forests method. Not only does this process estimate the quantile treatment effect nonparametrically, but our procedure yields a measure of variable importance in terms of heterogeneity among control variables. We also apply the proposed procedure to reinvestigate the distributional effect of 401(k) participation on net financial assets, and the quantile earnings effect of participating in a job training program.
Research Experience
Department of Economics, University College LondonResearch Assistant (to Dr. Andrei Zeleneev and Prof. Martin Weidner), 2024
- Project on Weak Factors: Writing R package and corresponding vignette for method in panels with factor structure
Research Assistant (to Prof. Ming-Jen Lin and Prof. Shiau-Fang Chao), 2019 - 2021
- Project: Application of Government Big Data in Computational Social Welfare: Example from Long-Term Care
Research Assistant (to Prof. Yi-Chan Tsai), 2018 - 2019
- Project: Consumption Inequality in Taiwan since 1986
- Project: Using Electronic Invoice Data to Analyze Private Consumption
Teaching Experience
Department of Economics, University College LondonPostgraduate Teaching Assistant, 2022 -
- ECON0064: MSc Econometrics
- ECON1006: BSc Statistical Methods in Economics
Teaching Assistant, 2017 - 2019
- ECON7203: MA/PhD Applied Microeconomics (I)
- ECON4035: BA International Economics Principle
- ECON1004: BA Principle of Economics (I)
- ECON1006: BA Economics (I)
Award & Fellowship
- PhD Scholar, Centre for Microdata Methods and Practice (CeMMAP), 2023 -
- Best Newcomer Teaching Assistant, Department of Economics, University College London, 2023
- DepartmentAsia-Pacific Economic Cooperation (APEC) - Healthy Women, Healthy Economies Research Prize, 2021
Professional Service
- Econometrics Brown Bag Seminar Co-organiser, University College London, 2023 -
Skill
- Programming Languages: R, Python, Julia, Matlab, SQL, C/C++
(Last updated: May 2025)