Nency Dhameja

Causal Inference: Staggered Difference-in-Differences, Event Studies, Synthetic Controls
Confounding Adjustment: Inverse Probability Weighting (IPW), Entropy Balancing, Double Machine Learning
Spatial Analysis: Neighborhood Exposure Designs, Salience and Attention Kernels
Computational Economics: Agent-Based Models, LLM-Based Economic Agents

Hi, I’m Nency Dhameja (pronounced “Nancy”), a 5th-year Ph.D. candidate in Economics at Binghamton University, State University of New York (SUNY).

I study how local environments and institutional policies shape economic and social outcomes. My job market paper examines how housing markets respond to crime: the market prices crime that leaves a visible trace and ignores crime that doesn't, though both predict future risk. Related work examines retail food environments and health outcomes, and how diversity statement requirements affect faculty hiring.

Prior to my Ph.D., I completed an Executive MBA in Singapore and a Bachelor of Technology in India.

Primary fields: Urban Economics, Public Economics
Secondary fields: Labor Economics, Health Economics