Minji Bang


I am a Ph.D. candidate in the Department of Economics at the University of Pennsylvania. My research interests include Labor Economics, Public Economics, Economics of Education, and Applied Econometrics.


I am currently on the 2021/2022 job market and will be available for interviews.

Email: mbang [at] sas.upenn.edu

For more information, see my CV.

Job Market Paper

Job Flexibility and Household Labor Supply: Understanding Gender Gaps and the Child Wage Penalty

[Current WP]

Abstract

This paper investigates how occupational flexibility affects married couples' labor supply and the gender pay gap around childbirth. Using the NLSY79 data and Goldin's (2014) measure of occupational flexibility, I show that flexibility is a significant determinant of married couples' labor supply adjustments. When a husband's job exhibits low flexibility, couples are more likely to specialize with the wife dropping out of the labor market and the husband increasing hours worked. In contrast, couples with greater flexibility show less labor supply adjustment to childbirth. To analyze the relationship between occupational flexibility and family-friendly labor market policies, I develop and estimate a dynamic discrete choice model of couples' decision-making about labor supply and occupations. In the model, occupations are characterized by wage-hours schedules and flexibility levels. I find that increasing women's and men's own occupational flexibility increases labor force participation by 4 percentage points in the childbirth year. Interestingly, increasing husband's flexibility has a greater impact on the wife's labor adjustment than her own flexibility, augmenting her participation rate and working hours by 10 and 7 percentage points. Finally, I evaluate the effects of family-friendly policies providing temporary flexibility for couples experiencing a birth in the last two years. Policies that target women increase female labor supply and reduce the gender pay gap by 8% in the long run. However, when the benefits are offered to both spouses, the positive effects on the wife's labor supply are weakened, and the gender pay gap expands in the long run.

Working Papers

Using Monotonicity Restrictions to Identify Models with Partially Latent Covariates

with Wayne Gao, Andrew Postlewaite, and Holger Sieg, R&R at Journal of Econometrics

[Current WP] [NBER WP version]

Abstract

This paper develops a new method for identifying econometric models with partially latent covariates. Such data structures arise in industrial organization and labor economics settings where data are collected using an “input-based sampling” strategy, e.g., if the sampling unit is one of multiple labor input factors. We show that the latent covariates can be nonparametrically identified, if they are functions of a common shock satisfying some plausible monotonicity assumptions. With the latent covariates identified, semiparametric estimation of the outcome equation proceeds within a standard IV framework that ac- counts for the endogeneity of the covariates. We illustrate the usefulness of our method using a new application that focuses on the production functions of pharmacies. We find that differences in technology between chains and independent pharmacies may partially explain the observed transformation of the industry structure.

Work in Progress

Determinants of Preschool Choices and Child Development with Emilio Borghesan

Labor Market Impact of M&A and Skill Complementarity with Hanbaek Lee

Self-Employment Decisions and Household Risk Sharing