Congratulations to Associate Professor Hiro Kasahara, winner of the Japan Statistical Society Achievement Award.
He received the award for his outstanding research record in statistics and related fields based on the following three publications:
- Hiroyuki Kasahara and Katsumi Shimotsu (2014), Nonparametric identification and estimation of the number of components in multivariate mixtures,” Journal of the Royal Statistical Society: Series B, 76(1), 97-111,
- Hiroyuki Kasahara and Katsumi Shimotsu (2012), “Sequential estimation of structural models with a fixed point constraint,” Econometrica, 80(5), 2303-2319, and
- Hiroyuki Kasahara and Katsumi Shimotsu (2009), “Nonparametric identification of finite mixture models of dynamic discrete choices,” Econometrica, 77(1), 135-175.
Hiro’s main research areas are econometrics and international trade. In econometrics, his research interests include estimation of structural models and nonparametric identification and estimation of finite mixture models. At the VSE, he teaches graduate and undergraduate courses in econometrics. Originally from Japan, Hiro obtained his Ph.D. from the University of Wisconsin-Madison.