33 citations · 54 across the 8 of their papers we have counts for
8 papers
Modeling information acquisition: divergences, duality, and discrete choice
Alex Bloedel, Tommaso Denti, Luciano Pomatto
We introduce a new cost function over experiments, f-information, based on the theory of multivariate statistical divergences, that generalizes Sims's classic model of rational ina…
Monotone additive statistics
Xiaosheng Mu, Luciano Pomatto, Philipp Strack +1
The expectation is an example of a descriptive statistic that is monotone with respect to stochastic dominance, and additive for sums of independent random variables. We provide a…
Twofold Multiprior Preferences and Failures of Contingent Reasoning
Federico Echenique, Masaki Miyashita, Yuta Nakamura +2
We propose a model of incomplete \textit{twofold multiprior preferences}, in which an act is ranked above an act only when provides higher utility in a worst-case scena…
Background risk and small-stakes risk aversion
Xiaosheng Mu, Luciano Pomatto, Philipp Strack +1
We show that under plausible levels of background risk, no theory of choice under risk -- such as expected utility theory, prospect theory, or rank dependent utility -- can simulta…
From Blackwell Dominance in Large Samples to Renyi Divergences and Back Again
Xiaosheng Mu, Luciano Pomatto, Philipp Strack +1
We study repeated independent Blackwell experiments; standard examples include drawing multiple samples from a population, or performing a measurement in different locations. In th…
The Cost of Information: The Case of Constant Marginal Costs
Luciano Pomatto, Philipp Strack, Omer Tamuz
We develop an axiomatic theory of information acquisition that captures the idea of constant marginal costs in information production: the cost of generating two independent signal…
Stochastic Dominance Under Independent Noise
Luciano Pomatto, Philipp Strack, Omer Tamuz
Stochastic dominance is a crucial tool for the analysis of choice under risk. It is typically analyzed as a property of two gambles that are taken in isolation. We study how additi…
Merging and testing opinions
Luciano Pomatto, Nabil Al-Najjar, Alvaro Sandroni
We study the merging and the testing of opinions in the context of a prediction model. In the absence of incentive problems, opinions can be tested and rejected, regardless of whet…