작성일 2026-04-06

파일

안녕하세요, 경제학과 BK사무실입니다.
경제학과 BK21 교육연구단에서 아래와 같이 목요세미나를 개최합니다.
많은 참여 부탁드립니다.

- 일시 : 2026년 4월 9일 (목) 16:30 - 17:45
- 발표자 : 이영준 교수님 (한양대학교)

- 주제 : Semi-Nonparametric Models of Multidimensional Matching: An Optimal Transport Approach

- 장소 : 다산경제관 32211호

- Abstract : This paper develops a set of empirically tractable and flexible sieve estimators for semi-nonparametric multidimensional matching models with transferable utility, focusing on worker-job matching. We generalize the parametric quadratic-Gaussian framework employed by Bojilov and Galichon (2016) and Lindenlaub (2017), which relies on joint normality of observed characteristics. We allow unrestricted distributions of characteristics and show identification of the production technology and the equilibrium wage and matching functions using optimal transport theory. Given identification, we propose efficient, consistent, and asymptotically normal sieve estimators. We revisit Lindenlaub's empirical application and show that, between 1990 and 2010, the U.S. economy experienced much larger technological progress favoring cognitive abilities than the original findings suggest. Furthermore, our flexible model specifications provide a significantly better fit for patterns in the evolution of wage inequality.