Hi!
I am an Assistant Professor at the Faculty of Economics of the University of Cambridge.
I received my Ph.D. in Economics from the University of Pennsylvania in 2022. My research interests include Labor Economics, Family Economics, Economics of Education, and Applied Econometrics.
Email: mb2503[at] cam.ac.uk
For more information, see my CV.
Using Monotonicity Restrictions to Identify Models with Partially Latent Covariates
with Wayne Gao, Andrew Postlewaite, and Holger Sieg, Journal of Econometrics, 2023, 235(2), 892-921.
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 fac- tors. 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 inde- pendent pharmacies may partially explain the observed transformation of the industry structure.
Job Flexibility and Household Labor Supply: Understanding Gender Gaps and the Child Wage Penalty
Awarded the best applied paper at Econometric Society Australasia Meeting 2022
Awarded the 2021 Etienne van de Walle Prize
[Current WP] New draft coming soon!
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.
Estimating a Time-Allocation and Information Acquisition Model using Revealed and Stated Preference Data with Holger Sieg
Abstract
This paper develops and estimates a new time allocation and news acquisition model using revealed and stated preference data. Stated-preference survey data provide additional information about the underlying preferences for specific news topics and the information acquisition process. Combining these two types of data allows us to separately identify and estimate preferences over news topics and news production functions, which would be harder using time allocation data alone. We find important differences in news consumption patterns across racial, ethnic, and skill groups. In particular, low-skill and minority individuals typically allocate more time to local news than high-skill and white individuals, who allocate more time to national and international news. These differences in informational gaps for news are driven by differences in preferences, opportunity costs of time, and access to news providers. We assess the relative importance of each channel. Finally, we provide new estimates of the willingness to pay for improvements in the quality of news.
Job Search and Mobility Over the Life-Cycle: Implications for the Child Penalty with Hanna Wang
What Makes a Good Job? Unpacking Preferences over Job Amenities with Katarina Kuske and Hanna Wang
Labor Market Impact of M&A and Skill Complementarity with Hanbaek Lee
Self-Employment Decisions and Household Risk Sharing
