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 current research examines how housing markets respond to crime — buyers price the crime they directly observe and ignore predictive signals from nearby blocks, evidence of salience-driven capitalization. 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.

Fields: Applied Microeconomics - Urban Economics, Behavioral Economics, Labor Economics