Welcome! I am a Ph.D. candidate in Economics at Columbia University.
I will be available for interviews at the
- EEA European Job Market in Naples (December 2018);
- CICE China Job Market in Beijing (December 2018);
- ASSA Meetings in Atlanta (January 2019).
Please visit my Personal Website.
This paper analyzes how education distribution affects the marriage market, by exploiting a massive primary school construction program in Indonesia in the late 1970s as a quasi-natural experiment. Using the variation across regions in the number of schools constructed and the variation across birth cohorts, I show that in densely populated areas, primary school construction did not affect primary school attainment rate. More surprisingly, the program decreased secondary school attainment rate for both men and women due to a crowding out of teacher resources. With this change in the education distribution as a source of variation, I find a woman marries earlier and spousal age gap increases when average education of other women decreases. I then rationalize this finding by developing a two-to-one dimensional matching model with Transferable Utilities in an OLG framework, in which the marital surplus allows complementarity between male education and both characteristics of women: education and younger age.
“Multidimensional Matching: Hukou Status in the Marriage Market”.
Abstract: Following P. Chiappori et al. (2012), I develop a two-dimensional matching model on the marriage market in China, where individuals differ in a continuous attribute (e.g. socioeconomic status) and a discrete attribute (hukou status). Surplus gain from marriage depends on the discrete characteristic with the rationale that an urban hukou is much more valuable than a rural hukou, it’s harder for a husband to move to the wife’s place and a limited quota of hukou change is available upon marriage. I first derive some general properties of the stable matching, then characterize the closed-form solutions by specifying a quadratic surplus function. Using China 1990 1% sample census and proxying socioeconomic status by educational attainment, the model predictions are validated. There are fewer across-hukou type marriages and even fewer rural husband – urban wife match. Matching is assortative on education within each marriage type. Urban husbands with rural wives have on average fewer schooling years than those with urban wives.
Work in Progress:
“Gender Norm, Labor Supply and Marriage Market”.
Abstract: Previous studies have found a sharp mass decline to the right of 1/2 in the probability density function of wife income share within household. Incorporating this gender norm into a household model, I found a testable prediction on labor supply: male labor supply is decreasing with wife’s wage when her potential wage is lower than his, however, it’s going to increase with wife’s wage when her potential wage is higher than his. With this micro-founded marital surplus, I then introduce a matching model on potential wages, which still predicts positive assortative matching on wages.
“What I Missed: Marriage Outcomes of Sent-Down Youth in China”, with Lu Liu.
Abstract: During 1966 and 1978 in China, 17 million youth were sent down to countryside. Using a dataset on monozygotic twins in China, we analyzed the impact of this experience on their future marriage outcomes.
We found an insignificant impact on females but for males: three years’ sent-down experience increased first marriage age by 0.384 years and decreased spousal consumption share by 30%.
Spring 2018 – ECON UN3211: Intermediate Microeconomics, TA for Professor Anna Musatti
Fall 2017 – ECON GU4020: Economics of Uncertainty and Information, TA for Professor Pierre-André Chiappori
Spring 2017 – ECON GU4260: Market Design, TA for Professor Guillaume G. Haeringer
Spring 2016 – ECON W4260: Market Design: TA for Professor Yeon-Koo Che
Fall 2015 – ECON G6211: Microeconomics Analysis I (Graduate), TA for Professors Pierre-André Chiappori and Pietro Ortoleva
University of Maryland, College Park
Summer 2013 – Economic Statistics, Instructor