Research output per year
Research output per year
Personal profile
Qualifications
PhD in Economics
Research Interests
My research interests are in applied econometrics, microeconomics and computational methods. More specifically my research centers around structural estimation of dynamic models of individual and strategic choice, as well as market equilibrium models, with typical applications in labor economics, household finance and applied industrial organization.
Biography
Fedor Iskhakov is a Professor of Economics, and a 2018 Australian Research Council Future Fellow. Fedor’s research spans applied econometrics, microeconomics and computational methods. He is particularly interested in the structural estimation of dynamic models of individual and strategic choice, as well as market equilibrium models, with applications in labor economics, household finance and applied industrial organization. Fedor’s research has been funded by the Australian Research Council’s Discovery Project and Future Fellowship programs. His work has featured in leading journals including The Review of Economic Studies, Econometrica, International Economic Review, Quantitative Economics, Journal of Econometrics, and Management Science.
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Collaborations and top research areas from the last five years
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Equilibrium Trade in Automobiles
Gillingham, K., Iskhakov, F., Munk-Nielsen, A., Rust, J. & Schjerning, B., Oct 2022, In: Journal of Political Economy. 130, 10, p. 2534-2593 60 p.Research output: Contribution to journal › Article › peer-review
6 Citations (Scopus) -
Effects of taxes and safety net pensions on life-cycle labor supply, savings and human capital: The case of Australia
Iskhakov, F. & Keane, M., Aug 2021, In: Journal of Econometrics. 223, 2, p. 401-432 32 p.Research output: Contribution to journal › Article › peer-review
Open Access15 Citations (Scopus) -
Overview: Implementation of structural dynamic models: Methodology and applications
Keane, M., Kristensen, D., Iskhakov, F. & Schjerning, B., Aug 2021, In: Journal of Econometrics. 223, 2, p. 277-279 3 p.Research output: Contribution to journal › Editorial › peer-review
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Machine learning and structural econometrics: Contrasts and synergies
Iskhakov, F., Rust, J. & Schjerning, B., 2020, In: Econometrics Journal. 23, 3, p. S81-S124Research output: Contribution to journal › Article › peer-review
20 Citations (Scopus) -
Special issue on methodology and applications of structural dynamic models and machine learning
Iskhakov, F., Rust, J. & Schjerning, B., 2020, In: Econometrics Journal. 23, 3Research output: Contribution to journal › Editorial › peer-review
Projects
- 2 Active
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Innovation in durable goods: expansion of electric cars in Australia
Iskhakov, F., Gillingham, K., Rust, J. & Schjerning, B.
1/01/25 → 31/12/27
Project: Research
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