معرفی
Sid Kankanala serves as an Assistant Professor in the Department of Econometrics and Statistics at the University of Chicago Booth School of Business, specializing in advanced econometric methodologies for modeling economic phenomena with endogenous variables and latent unobservables.
Education
- PhD in Economics, Yale University
- MSc in Mathematics, McGill University
- BA in Economics and Mathematics, McGill University
Research Focus
His scholarly work centers on theoretical econometrics, addressing identification and estimation challenges in economic models where variables are jointly determined (endogenous) or influenced by unobserved factors (latent variables). This research provides critical tools for causal inference in empirical economics, with applications spanning microeconomic theory and policy analysis. His methodological innovations enhance the robustness of econometric frameworks used across academic and policy-oriented research.
Publication Impact
Professor Kankanala's contributions have been recognized through publications in elite journals including Review of Economic Studies and Bernoulli, reflecting his expertise in high-impact econometric theory development and complex model validation.
