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I am an Assistant Professor in the Department of Agricultural and Applied Economics at the University of Georgia. Previously, I was a Postdoctoral Researcher at Stanford University. I completed my PhD in Economics from the University of Maryland, College Park.
I am an Assistant Professor in the Department of Agricultural and Applied Economics at the University of Georgia. Previously, I was a Postdoctoral Researcher at Stanford University. I completed my PhD in Economics from the University of Maryland, College Park.
My research agenda combines causal inference framework with machine learning (ML) and Artificial Intelligence (AI) to address questions spanning labor, public, and development economics. It can be divided into three themes: i) Causal ML and AI for Economic Applications, ii) Centralized Matching Algorithm, School Choice and Inequality, and iii) Identification of peer effects in complex network data.Â
My research agenda combines causal inference framework with machine learning (ML) and Artificial Intelligence (AI) to address questions spanning labor, public, and development economics. It can be divided into three themes: i) Causal ML and AI for Economic Applications, ii) Centralized Matching Algorithm, School Choice and Inequality, and iii) Identification of peer effects in complex network data.Â
Email: shanjukta.nath@uga.edu
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