
معرفی
Masakazu Ishihara is an Associate Professor of Marketing at the Leonard N. Stern School of Business, New York University, where he has been a faculty member since 2011. His research is centered on quantitative marketing and empirical industrial organization, employing structural econometric models to study consumer and firm behavior in dynamic markets.
- Leonard N. Stern School of Business, New York University
- Department of Marketing
His academic training includes a Ph.D. in Marketing from the Rotman School of Management at the University of Toronto, and both a B.S. and M.S. in Economics from the University of Wisconsin-Madison.
Professor Ishihara's research interests span quantitative marketing, empirical industrial organization, the dynamic effects of marketing strategies, forward-looking consumer and firm decision-making, and marketing in the entertainment and luxury industries. He frequently investigates how consumers and firms make intertemporal choices, particularly in durable goods markets such as video games, pharmaceuticals, and alcohol. His work often integrates economic theory with large-scale consumer data to estimate structural models of demand, adoption, and competition.
The recent publications highlight a consistent trend in applying dynamic structural models to analyze consumer behavior in complex markets. His research spans topics such as rational addiction (e.g., soda and alcohol), price promotions, scarcity marketing, advertising causality, software piracy, and brand extensions. The keywords across his publications indicate strong expertise in econometrics, consumer behavior, pricing, and empirical IO, with applications in entertainment, healthcare, and digital platforms.
His scientific awards include:
- Inaugural 2010 ISMS Doctoral Dissertation Competition Award
- 2021 Best Paper Award, Journal of Advertising Research
- Honorable Mention, 2011 Dick Wittink Prize
Professor Ishihara has collaborated extensively with leading scholars such as Andrew Ching, Tülin Erdem, and Eric Yanfei Zhao. He has secured research funding implicitly through publication in top journals and active working paper pipeline, though specific grants are not listed. He advises emerging scholars and contributes to the academic community through peer-reviewed publications and methodological advancements in structural modeling.
There is no mention of specific labs or research teams in the provided text, though his work suggests involvement in quantitative marketing and empirical IO research groups at NYU Stern.
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