Jean-Jacques Forneron

Jean-Jacques Forneron is an Assistant Professor of Economics at Boston University, specializing in econometrics and computational methods. He holds a PhD from Columbia University (2018), an MA in Economics and Statistics from ENSAE Paris (2012), and an MSc in Management from HEC Paris (2012). His research focuses on advancing econometric theory, particularly in dynamic models, moment condition estimation, and stochastic optimization techniques. He explores topics like model misspecification, optimal transportation approaches, and robust estimation under noisy conditions.

His recent work emphasizes methodological innovations in simulation-based estimation, including sieve estimators, scrambled methods of moments, and likelihood-free sampling. These contributions aim to address challenges in parameter identification, computational efficiency, and statistical inference under non-standard conditions.

Forneron teaches advanced econometrics courses at both MA and PhD levels, including Advanced Econometrics 2 and Advanced Topics in Econometrics, often co-instructing these courses. His office is located in SSW 415D on Boston University's campus.