Arshia Hashemi is a PhD student in Economics at the University of Chicago Booth School of Business.
His primary research lies in quantitative macro public finance, using micro data to discipline macro models with heterogeneous agents, and deriving policy implications. His secondary research studies firm productivity and market power using techniques in production function estimation and corporate finance.
Interests
- Macroeconomics
- Market Power
- Antitrust and Competition
Education
PhD Economics, In Progress
The University of Chicago Booth School of Business
MA Economics, 2022
The University of Chicago
MPhil Economics, 2019
Nuffield College, University of Oxford
BSc Economics, 2017
University College London
Publications
(2022).
The Production Approach to Markup Estimation Often Measures Input Distortions.
Economics Letters.
(2021).
Some Unpleasant Markup Arithmetic: Production Function Elasticities and their Estimation from Production Data.
Journal of Monetary Economics.