Fedor Iskhakov

Fedor Iskhakov is a Professor of Economics at the Australian National University (ANU), holding an ARC Future Fellowship since 2018. He is affiliated with the Research School of Economics, focusing on applied econometrics, microeconomic theory, and computational methods. His research emphasizes structural estimation of dynamic models for individual and strategic decisions, including labor economics, household finance, and industrial organization applications.

Education: PhD in Economics (specific institution not stated in text). Research interests include dynamic models of strategic interaction, equilibrium analysis, tax policy impacts, and computational economics. His work bridges traditional econometric methods with machine learning innovations, as highlighted in his 2020 paper on their synergies.

Key projects include a 2025-2027 study on electric car adoption in Australia and a long-term project on dynamic models of strategic interaction. Recent publications explore taxation effects on labor supply (Australia case), automobile market equilibria, and mortgage decision framing. His work appears in top journals like Journal of Econometrics, Review of Economic Studies, and Management Science.

Scientific recognition includes ARC grants and fellowships. Advising contributions are not explicitly listed, but his research involves complex model development (e.g., endogenous grid methods). Collaborations with global scholars like Keane, Rust, and Gillingham underscore his network in computational economics and dynamic modeling.