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Projects

Software I've built and research I've published—mostly at the intersection of policy, economics, and AI.

Software

Papers

What can LLMs tell us about the ETI?

Max Ghenis & Jason DeBacker SSRN Working Paper August 2025

We investigate how large language models perceive and simulate behavioral responses to tax policy changes, with implications for using LLMs in policy analysis.

AI Model Policy Impact Forecasts: A Narrative Prompting Approach

Max Ghenis Working Paper 2024

Examining the use of large language models for forecasting policy outcomes under different U.S. presidential administrations using narrative prompting techniques.

Enhancing Survey Microdata with Administrative Records

Max Ghenis & Nikhil Woodruff National Tax Association Annual Meeting November 2024

A novel approach to microsimulation dataset construction that combines Current Population Survey data with IRS administrative records for improved tax-benefit modeling.

Interactive research

Full research articles built with Jupyter Book, featuring interactive visualizations and executable code.

Civic engagement

My recommendations for California elections, with detailed analysis of ballot measures and races.

PolicyEngine

As CEO of PolicyEngine, I contribute to numerous policy analyses. Visit the PolicyEngine Research page for our full portfolio of published work on tax and benefit policy.

UBI Center

I founded the UBI Center in 2019, an open-source think tank researching universal basic income and cash transfer policies. From 2019 to 2023, the team produced over 60 reports on UBI proposals, child allowances, and carbon dividends.