Professor of Economics
Luciano Pomatto's research is focused on understanding economic interactions in situations of uncertainty. He studies methods for making decisions when the odds are unknown, both in terms of their quantitative properties as well as their conceptual implications. He also investigates how decisions are affected by different sources of risk. His published work has appeared in the American Economic Review, Econometrica, the Journal of Political Economy, the Annals of Statistics, Theoretical Economics, the Journal of Economic Theory, Sankhya, and Philosophy of Science.
Before arriving at Caltech in 2016, Pomatto was a Postdoctoral Associate at the Cowles Foundation at Yale University. He holds a PhD in managerial economics and strategy from the Kellogg School of Management at Northwestern University.
- From Blackwell Dominance in Large Samples to Rényi Divergences and Back Again
with Xiaosheng Mu, Philipp Strack, and Omer Tamuz, Econometrica, 2021.
- Testable Forecasts
Theoretical Economics, 2021.
- Aggregate Risk and the Pareto Principle
with Nabil Al-Najjar, Journal of Economic Theory, 2020.
- Stochastic Dominance under Independent Noise
with Philipp Strack and Omer Tamuz, Journal of Political Economy, 2020
- An Abstract Law of Large Numbers
with Nabil Al-Najjar, Sankhya, Series A, 2020.
- An Axiomatic Theory of Inductive Inference
with Alvaro Sandroni, Philosophy of Science, 2018.
- Choice under Aggregate Risk
with Nabil Al-Najjar, Theory and Decision, 2016.
- Claim Validation
with Nabil Al-Najjar and Alvaro Sandroni, American Economic Review, 2014.
- Merging and Testing Opinions
with Nabil Al-Najjar and Alvaro Sandroni, Annals of Statistics, 2014.
For a list of Professor Pomatto's working papers, please visit his research website.