I am a Ph.D. Candidate in Economics at Brown University.
My main research interests are in applied econometrics with a focus on IO and behavioral economics. I also work on (nonparametric) Bayesian econometrics.
I am on the 2021-22 economics job market and will be available for interviews during the EEA and ASSA meetings.
You can find my CV here.
Research Interests: Applied Econometrics Industrial Organization Structural Econometrics Bayesian Econometrics Behavioral Economics
Skills: MATLAB Stata Python Julia LaTeX
Estimation of a Latent Reference Point: Method and Application to NYC Taxi Drivers
Job Market Paper Latest Version
I use a dynamic discrete choice model with a latent variable to flexibly estimate reference-dependent utility models. The structure and evolution of the reference point are estimated directly from observational data. I apply the model to the daily labor-supply choices of NYC taxi drivers and use a Bayesian estimation approach. I find that rational expectations are an important determinant of the reference point but do not fully explain its evolution. The reference point adjusts asymmetrically, responding more to positive income shocks than to negative ones. The reference point also has an important transitory component: a shock to the reference point dissipates within hours. I use the estimated model to analyze the welfare effects of a guaranteed hourly wage floor for gig economy workers.
Bounds on a Slope from Size Restrictions on Economic Shocks
Latest Version R&R, AEJ: Microeconomics
We study the problem of learning about the effect of one market-level variable (e.g., price) on another (e.g., quantity) in the presence of shocks to unobservables (e.g., preferences). We show that economic intuitions about the plausible size of the shocks can be informative about the parameter of interest. We illustrate with applications to the grain market and the labor market.
Bayesian Nonparametric Models For Conditional Densities Based On Orthogonal Polynomials
May 2019 | joint with Andriy Norets
Draft available upon request Poster
The paper considers a nonparametric Bayesian model for conditional densities. The model considered is a mixture of orthogonal polynomials with a prior on the number of components. The use of orthogonal polynomials allows for a great deal of flexibility in applications while maintaining useful approximation properties. We provide the posterior contraction rate in the case of Legendre polynomials. The algorithm proposed allows for cross-dimensional moves, allowing it to choose the optimal number of terms in the series expansion conditional on a penalty parameter. We also provide Monte Carlo simulations that show how well the model approximates known distributions also in finite sample situations.
From Fall 2019 through Fall 2021 I worked as research assistant for Professor Jesse M. Shapiro
In Fall 2018 I worked as research assistant for Professor Emily Oster
In Summer 2018 I worked as research assistant for Professor Andriy Norets
In Spring 2019 and Spring 2020 I was teaching assistant for Economics of Mass Media for Professor Jesse M. Shapiro
In Summer 2019 I was teaching assistant for the Pre-College Summer Program Econometrics and Statistics course
In Spring 2018 and Fall 2018 I was teaching assistant for Internet Market Design for Professor Bobak Pakzad-Hurson
In Summer 2018 was teaching assistant for the Pre-College Summer Program Behavioral Economics and Game Theory course
In Fall 2017 was teaching assistant for Graduate Level Mathematics for Economics for Professor Alex Poterack
I worked as a research assistant for Professor Marco Ottaviani on various projects.
I worked as a research assistant for Professors Martin Dufwenberg and Pierpaolo Battigalli on the project “Frustration, Aggression & Anger in Leader-Follower Games”
June 2014 - August 2014
I was a Summer Analyst in the TMT team in the M&A division.
PhD in Economics
August 2016 - May 2022 (expected)
Expected May 2022
Advisors: Jesse Shapiro, Andriy Norets, Neil Thakral.
MSc in Economics and Social Sciences
September 2013 - April 2016
Summa cum laude
Advisors: Massimo Marinacci and Simone Cerreia-Vioglio.
Thesis: Rational Intattention in a Knightian Uncertainty Framework
Bachelor in International Economics, Management and Finance
September 2010 - November 2013
Summa cum laude
Advisor: Tito Boeri
- Merit Dissertation Award for Fall 2020
- Teaching Award for Spring 2020
- Third Year Paper Award in Spring 2019
- Distinction in Second Year Field Exam
Professional Activities and Seminars
- Econometrics Lunch Seminar Presentation 2019, 2020, 2021 (scheduled)
- NBER-NSF SBIES Conference Poster Session (2019)
- Organizer Econometrics Lunch Seminar, Brown University (2018-2019)