Sungwon Lee
Biographic Data
| ID | 3797657 |
|---|---|
| NAME | Sungwon Lee |
| GIVEN NAMES | Sungwon |
| FAMILY NAME | Lee |
| SIGNATURE | LEE S |
| AFFILIATIONS | University of Illinois Urbana-Champaign |
| ORCID | 0009-0005-9296-9293 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Can Public Micromobility Build Resilient Local Economies? Quasi-Experimental Evidence from a Publicly Operated Shared E-Scooter Program in Declining Market Districts
Coups and refugee flows in autocracies and democracies
Partial identification and inference for conditional distributions of treatment effects
This paper considers identification and inference for the distribution of treatment effects conditional on observable covariates. Since the conditional distribution of treatment effects is not point identified without strong assumptions, we obtain bounds on the conditional distribution of treatment effects by using the Makarov bounds. We also consider the case where the treatment is endogenous and propose two stochastic dominance assumptions to t…
Comparing the impacts of local land use and urban spatial structure on household VMT and GHG emissions
Health and climate impacts of future United States land freight modelled with global-to-urban models
The influence of urban form on GHG emissions in the U.S. household sector
The influence of urban form on GHG emissions in the U.S. household sector
Health and climate impacts of future United States land freight modelled with global-to-urban models
Comparing the impacts of local land use and urban spatial structure on household VMT and GHG emissions
Partial identification and inference for conditional distributions of treatment effects
This paper considers identification and inference for the distribution of treatment effects conditional on observable covariates. Since the conditional distribution of treatment effects is not point identified without strong assumptions, we obtain bounds on the conditional distribution of treatment effects by using the Makarov bounds. We also consider the case where the treatment is endogenous and propose two stochastic dominance assumptions to t…
Coups and refugee flows in autocracies and democracies
Can Public Micromobility Build Resilient Local Economies? Quasi-Experimental Evidence from a Publicly Operated Shared E-Scooter Program in Declining Market Districts
Urban Transport and Accessibility (4 works) · Economics (3 works) · Engineering (3 works) · Environmental Science (3 works) · Greenhouse gas (3 works) · Population (3 works) · Air Quality and Health Impacts (2 works) · Business (2 works) · Civil engineering (2 works) · Computer Science (2 works)