Jason Huang is a Ph.D candidate in the Department of Economics at Stanford University. His research employs both theoretical and empirical to analyze topics relating to taxation and various other government programs. His current research develops an empirical strategy to recover the causal impact of different types of foster homes on children outcomes. He hopes that his research can be used to guide placement policies. When complemented with other works that examine how foster families react to economic benefits, this project can also suggest optimal financial structure for the child welfare agencies.
Jason also aims to use tools from statistics and machine learning to answer questions from social science. He is a member of the Stats for Social Good group at Stanford. This summer, he will be in University Chicago as a Fellow for Data Science for Social Good.Jason received his B.A. in Economics with a minor in Operations Research from Princeton.