Faculty Profiles Main Page Publications Japanese
Professor Website
ABE, Makoto Personal Website
Office E-mail
Faculty of Economics,
The University of Tokyo,
7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033
abe at e.u-tokyo.ac.jp
Please replace "at" with@
4/04 - current Professor The University of Tokyo, Faculty of Economics
1/98 - 3/04 Associate Professor The University of Tokyo, Faculty of Economics

7/84-8/91 Massachusetts Institute of Technology, Cambridge, MA
Ph.D in Operations Research; Thesis: A marketing mix model developed from single  source data:
A semiparametric approach (supervisor: J.D.C. Little)
9/79 - 6/84 Massachusetts Institute of Technology, Cambridge, MA
SM and SB in Electrical Engineering and Computer Science

9/14-10/15 Visiting Professor
University of New South Wales, Sydney, Australia
9/08-9/09 Visiting Professor
Yale University, New Haven, USA
10/05-9/06 Visiting Scholar
University of California, Los Angeles, USA
7/98-8/98 Visiting Associate Professor
The Humboldt University, Berlin, Germany
8/91-12/97 Assistant Professor
The University of Illinois at Chicago, Department of Marketing
9/86 - 8/91 Research Assistant
Sloan School of Management and Operations Research Center, MIT
Research Field
Research Theme
Analyzing various marketing phenomena using models at an individual level and deriving managerial implications that are useful to practioners. Macro statistics of firms, such as sales and market share, result from aggregation of individual consumer purchases. To gain better insights into the process, micro-level analysis of consumer behavior, either with household-level disaggregate data or by laboratory experiment, is warranted to understand the underlying behavior that is responsible for macro-level phenomena. Recent advance in information technology allows collection of such individual data with ease through a POS system and over internet. Currently, managers are not sure how to make better use of ever increasing amount of data for strategic purposes, and research needs for individual-level modeling is growing rapidly. Taking advantage of the size of disaggregate data, my research focuses on nonparametric statistical methods and micro-level simulations.