Dr. Wang has extensive experience and knowledge in applied economics and interdisciplinary research, as well as quantitative methods. Dr. Wang’s scholarship has yielded advanced methodological tools and data-driven strategies, enriching economic analysis. He contributes to the development of novel quantitative methods, such as causal inference and machine learning in policy and impact evaluation, addressing challenges where randomization is infeasible. His applied microeconomic research spans a diverse array of critical public policy areas, including environmental policies, inequality, economic mobility, education, food security, and health. His prolific contributions are published in leading economic journals and have garnered numerous accolades. Dr. Le Wang is committed to applied research that extends to vital domains like small business and rural economic development across global and domestic landscapes, which has become one of the focal areas at the Kohl Centre under his leadership. In addition to his academic accomplishments, Dr. Wang is a trusted consultant on numerous projects involving forecasting and economic evaluations.
Please refer to my CV for a complete list of publications.
Google Scholar Citation Counts Link
Beyond common support: An Iterative Approach to Identification and Estimation of Nonseparable Models with endogeneity (with Jiangang Zeng), under revision, Journal of Business & Economic Statistics
Generalized Intergenerational Mobility Regressions (with Essie Maasoumi and Daiqiang zhang) under revision, Sociological Methods & Research
Head Start Staff Well-being: Early Impact Results from a Cluster Randomized Controlled Trial (RCT) of a Holistic Wellness Intervention (with Timothy Ford and Kyong-Ah Kwon et al.) under revision, Early Childhood Research Quarterly
Estimation and Testing in the Presence of an Invalid Instrumental Variable (with Rui Fan)
Breaking Parallel: A Nonparametric Difference-in-Differences Approach (with Xin Xing)
A L-infinity Norm Counterfactual and Synthetic Control Approach (with Youhui Ye and Xin Xing)
Tree-based Difference-in-Differences Approach
Partially Linear Varying-Coefficient Fixed Effects Panel Data Models with Sample Selections (with Karen Yan and Shatakshee Dhongde)
A Functional Quantile Approach to Estimating Intergenerational Mobility, (with Pang Du and Peijun Sang)
Sufficient Statistical Measures of Intergenerational Mobility (with Steven Durlauf and Essie Maasoumi)
The Impact of Immigration on Natives’ labor market outcomes: a Machine Learning Approach (with Chunbei Wang)
Systemic Risk in Agricultural Commodity Markets (with Rui Fan and Olga Isengildina Massa)
Peer Effects among College Students: Evidence from China (with Yonghong Zhou)
Love Has No Boundaries: Racial Assortative Mating and Intergenerational Mobility (with Dayuan Xie)
Environmental Roots of Intergenerational Mobility (with Dayuan Xie)
Born to Lose: Daughters and Divorce (with Dayuan Xie)
Maternity Leave and Child Health in India (with Erdal Asker and Shatakshee Dhongde)