If you made any changes in Pure these will be visible here soon.

Personal profile

Professional Information

Individual preferences fluctuate over time and differ among people. Few models of utility and decision making attempt to capture this fundamental fact explicitly. Prof. Regenwetter's primary goal is to model, measure, and predict preference and choice behavior when it is allowed to vary. Random utility models are designed as a modeling language to capture and quantify the ubiquitous variability in choice and preference behavior. Prof. Regenwetter's primary interests can be categorized as falling within three paradigms: probabilistic measurement, social choice, and preference evolution over time. Probabilistic measurement theory reformulates axiomatic measurement structures (e.g., in decision theory) in a probabilistic framework and thereby makes them empirically (and statistically) testable. Social choice theory is the theory of aggregating individual preferences or choices into a social ordering or choice. Dr. Regenwetter's interest in social choice is behavioral. Using random utility models as measurement tools, he evaluates and compares competing social choice functions on empirical data of various kinds. Dr. Regenwetter studies preference change over time via stochastic process models in which random utilities are indexed by continuous time.

Research Interests

Decision Making
Mathematical Psychology
Behavioral Social Choice
Behavioral Economics

Professional Information

  • Fellow, Association for Psychological Science
  • Young Investigator Award, Society for Mathematical Psychology

Teaching

Models of Decision and Choice
Testing Theories of Decision
Foundations of Behavioral Social Choice Research
Introduction to Statistics
Psychological Statistics

Honors & Awards

Fellow, Association for Psychological Science
Young Investigator Award, Society for Mathematical Psychology

Office Address

435

Office Phone

Education/Academic qualification

Mathematical Behavioral Sciences, Ph.D., University of California at Irvine

Fingerprint Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output

A Stochastic Model for the Evolution of Preferences

Falmagne, J-C., Regenwetter, M. & Grofman, B., May 23 2019, Choice, Decision, and Measurement: Essays in Honor of R. Duncan Luce. Marley, A. A. J. (ed.). Routledge, p. 111-129

Research output: Chapter in Book/Report/Conference proceedingChapter

  • Cognitive Aging and Tests of Rationality

    Park, S., Davis-Stober, C. P., Snyder, H. K., Messner, W. & Regenwetter, M., Jan 1 2019, (Accepted/In press) In : Spanish Journal of Psychology. E57.

    Research output: Contribution to journalArticle

  • QTEST 2.1: Quantitative testing of theories of binary choice using Bayesian inference

    Zwilling, C. E., Cavagnaro, D. R., Regenwetter, M., Lim, S. H., Fields, B. & Zhang, Y., Aug 2019, In : Journal of Mathematical Psychology. 91, p. 176-194 19 p.

    Research output: Contribution to journalArticle

  • The construct-behavior gap revisited: Reply to Hertwig and Pleskac (2018)

    Regenwetter, M. & Robinson, M. M., Apr 2019, In : Psychological review. 126, 3, p. 451-454 4 p.

    Research output: Contribution to journalComment/debate

  • The 'Paradox' of Converging Evidence

    Davis-Stober, C. P. & Regenwetter, M., Jan 1 2019, In : Psychological review.

    Research output: Contribution to journalArticle

  • Honors & Recognition

    Exeter Prize for Research in Experimental Economics, Decision Theory and Behavioral Economics

    Regenwetter, Michel (Recipient), Clintin P. Davis-Stober (Recipient) & Jason Dana (Recipient), 2012

    Prize

  • Young Investigator Award

    Regenwetter, Michel (Recipient), 1999

    Prize: Honorary award