Robert Mislavsky is an associate professor of marketing at the Johns Hopkins Carey Business School, where he teaches Consumer Behavior in the MBA and MS Marketing programs. Prior to joining Carey, he received his PhD in decision processes from the University of Pennsylvania and his MBA from Carnegie Mellon University. He primarily studies the psychology of consumer forecasting. For example, how confident are we if someone tells us that there is a “60%” chance of prices going up versus a “likely” chance? How does the framing of a diagnostic test result influence how likely we are to believe that we have a disease? How does the context or timing of that prediction change how we interpret it? In addition to these questions, He studies a variety of topics related to judgment and decision making and behavioral theories of cryptocurrency token economics (or "tokenomics").
Additional information, including links to publications, research materials, and data sets, is available at robmislavsky.com.
Education
- PhD, Decision Processes, University of Pennsylvania
- MBA, Carnegie Mellon University
Research
Selected publications
- Mislavsky, R., & Gaertig, C. (2024). Premature predictions: Accurate forecasters are not viewed as more competent for earlier predictions. Journal of Experimental Psychology: General, 153(1), 159–170. https://doi.org/10.1037/xge0001487
- Mislavsky, R., & C. Gaertig (2021). Combining Probability Forecasts: 60% and 60% is 60%, but Likely and Likely is Very Likely. Forthcoming at Management Science.
- Beshears, J., H.N. Lee, K.L. Milkman, R. Mislavsky, & J. Wisdom (2020). Creating Exercise Habits Using Incentives: The Tradeoff between Flexibility and Routinization. Forthcoming at Management Science.
- Mislavsky, R., B. Dietvorst, & U. Simonsohn (2020). Critical Condition: People Don’t Dislike a Corporate Experiment More Than They Dislike Its Worst Condition. Marketing Science, 39(6), 1092-1104.
- Mislavsky, R., & U. Simonsohn (2018). When Risk is Weird: Unexplained Transaction Features Lower Valuations. Management Science, 64(11), 5395-5404.
Teaching
Current
- Consumer Behavior
Honors and Distinctions
- Marketing Science Institute Young Scholar, 2025
- Winner, Society for Judgment and Decision Making Best Paper Award, 2025