معرفی
Anna Mikusheva is the Edward A. Abdun-Nur (1924) Professor of Economics at the Massachusetts Institute of Technology, where she has been a faculty member in the Department of Economics since 2007, contributing significantly to econometric theory and methodology.
Educational Background:
- PhD in Economics, Harvard University
- PhD in Probability, Moscow State University
Professor Mikusheva's research focuses on developing robust econometric procedures for settings where standard asymptotic approaches fail, particularly with weak identification. Her work addresses critical challenges in inference for persistent (unit root) data, instrumental variables models with weak instruments, and Generalized Method of Moments estimation. She employs geometric approaches to understand nonlinear econometric models and develops decision rules that maintain validity under weak identification conditions.
Her publications reveal a consistent focus on methodological innovation in econometrics, with particular emphasis on weak identification problems across various contexts including time series analysis, factor models, and dynamic stochastic general equilibrium models. The trajectory shows increasing sophistication in handling many weak instruments and developing optimal inference procedures that maintain coverage properties even when traditional methods break down.
Major Recognitions:
- Member, American Academy of Arts and Sciences (2024)
- Fellow of the Econometric Society (2018)
- Alfred P. Sloan Research Fellow (2013)
- Elaine Bennett Research Prize, American Economic Association (2012)
As a leading researcher in econometric theory, Professor Mikusheva's work provides essential tools for empirical researchers working with potentially weakly identified models across economics and related social sciences. Her methodological contributions have become increasingly influential as researchers recognize the prevalence of weak identification in empirical applications.
