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 6th-year Ph.D. candidate in Economics at Binghamton University, State University of New York (SUNY).

I study how neighborhood conditions and institutional policies affect housing markets, health, and labor outcomes using quasi-experimental methods and large-scale administrative data.

In my job market paper, I study how crime disrupts housing markets — which crimes price, how the discount travels from listing to closing, and who bears the cost. 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, Applied Microeconomics
Secondary fields: Health Economics, Applied Econometrics