Welcome!

My name is Subodh Pandey and I am a PhD Candidate in Economics at Howard University. I also received my MA in Economics from Howard University.

My research focuses on labor, urban, and health economics. My work applies causal inference, econometric, spatial, and machine learning methods to examine questions involving labor market outcomes, household behavior, urban economic conditions, and substance use policy.

My current research investigates the nonlinear relationships between housing wealth and household consumption, causal effects of involuntary commitment laws on substance use disorder treatment admissions, and the economic consequences of urban infrastructure.

I am curently working as a Research Fellow at the Center for Equitable Economy and Sustianable Society (E2S2). I previously interned with the New Jersey Department of Labor and Workforce Development’s Office of Research and Information, where I worked on projects involving the Unemployment Insurance Trust Fund and labor law enforcement and compliance.

Methodologically, I use applied econometrics, machine learning, and quasi-experimental approaches, including difference-in-differences, panel data methods, synthetic control, Propensity Score Matching (PSM), and advanced statistical techniques. My quantitative toolkit includes R, Python, Stata, Cloud Computing, and SQL.

Download my CV.