Long-term welfare consequences of government spending on education
Date & Time
Open to PhD students and faculty engaged in causal inference in education research.
From the speaker's bio:
Gaurav Khanna is a Ph.D. candidate in Economics at the University of Michigan with interests in development economics and labor economics. His research focusses on education policy, high skill immigration, infrastructure, public-works programs and conflict. Prior to starting his PhD, Gaurav worked at the World Bank’s Poverty Reduction Unit, and studied the effects of the financial crisis on unemployment and wages across many different countries. He received his M.Sc in Development Economics from Oxford University, and his B.A. in Economics from Delhi University.
The objective of the Causal Inference in Education Research Seminar (CIERS) is to engage students and faculty from across the university in conversations around education research using various research methodologies.
This seminar provides a space for doctoral students and faculty from the School of Education, Ford School of Public Policy, and the Departments of Economics, Sociology, Statistics, and Political Science to discuss current research and receive feedback on works-in-progress. Discourse between these schools and departments creates a more complete community of education scholars, and provides a networking opportunity for students enrolled in a variety of academic programs who share common research interests. Open to PhD students and faculty engaged in causal inference in education research.