Welcome

I am a PhD Candidate in Economics at Indiana University. My research interests include Experimental Economics, Behavioral Macroeconomics, NLP, and Large Language Models. I study questions related to expectations and AI-human interaction. I am also interested in AI, both as a tool for research and as an area of economic study.

Here is my CV.

Job Market Paper

Generating Inflation Expectations with Large Language Models

This paper studies the generation of inflation expectations using generative AI in survey experiments, specifically focusing on agents created with Large Language Models (LLMs). It reveals that LLMs accessing relevant economic documents exhibit more consistent responses, demonstrating that domain knowledge significantly shapes expectations. Typically, LLMs predict higher inflation than actual rates, aligning closely with findings from the Survey of Consumer Expectations. Information treatments, particularly forward guidance, precisely influence LLMs’ inflation expectations. Furthermore, customizing prompts with a persona induces partisan biases, mirroring human survey behaviors. It also explores the importance of model selection and the reasoning behind LLM responses, emphasizing how these elements impact outcomes. Additionally, the paper shows that LLMs can generate granular predictions of inflation expectations across demographic groups, suggesting potential applications in forecasting survey responses with limited data.

Working Papers

Simulating the Survey of Professional Forecasters
with Anne Lundgaard Hansen (Federal Reserve Bank of Richmond), John J. Horton (MIT Sloan), Sophia Kazinnik (Stanford HAI), & Daniela Puzzello (Indiana University)

Large Language Models Are More Persuasive Than Incentivized Human Persuaders (R&R at PNAS Nexus)
with Philipp Schoenegger (LSE) and et al.

AI Economic Behavior: Evidence from Risk and Time Preference Elicitation (R&R at Research in Experimental Economics)
with Ganji, G. L. (UT Arlington)

Research in Progress

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