Cornell University

This is a past event. Its details are archived for historical purposes.

The contact information may no longer be valid.

Please visit our current events listings to look for similar events by title, location, or venue.

Joint Microeconomic Theory & Computer Science Workshop: Omer Tamuz

Tuesday, September 17, 2019 at 4:15pm to 5:45pm

Uris Hall, 498
Central Campus

Omer Tamuz - Caltech

Blackwell Dominance in Large Samples (joint w/Xiaosheng Mu, Luciano Pomatto & Philipp Strack)

Abstract:  We study repeated independent Blackwell experiments; standard examples include drawing multiple samples from a population, or performing a measurement in different locations. In the baseline setting of a binary state of nature, we compare experiments in terms of their informativeness in large samples. Addressing a question due to Blackwell (1951) we show that generically, an experiment is more informative than another in large samples if and only if it has higher Rényi divergences. As an application of our techniques we in addition provide a novel characterization of kth-order stochastic dominance as second-order stochastic dominance of large i.i.d. sums.

Google Calendar iCal Outlook
Event Type

Class/ Workshop




economics, EconSeminar, EconMicro



Contact E-Mail

Contact Name

Amy Moesch

Contact Phone



Omer Tamuz

Speaker Affiliation


Open To

Cornell Economics Community (List Serve Members)