Code
I most often program using Python and conduct statistical analysis using R and Stata; I also use Jupyter notebooks to run code on remote servers. Code for my papers is available through the links below:
How to Use Large Language Models for Empirical Legal Research, Journal of Institutional and Theoretical Economics (forthcoming 2023)
Measuring Clarity in Legal Text, 91 University of Chicago Law Review (forthcoming 2024)
Subjective Costs of Tax Compliance, 108 Minnesota Law Review (forthcoming 2024)
ChatGPT Goes to Law School, 72 Journal of Legal Education (forthcoming 2023)
An Empirical Study of Statutory Interpretation in Tax Law, 95 New York University Law Review 363 (2020)
Legal Analysis, Policy Analysis, and the Price of Deference: An Empirical Study of Mayo and Chevron, 38 Yale Journal on Regulation 818 (2021)