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.
MLA
Mu, Xiaosheng, et al. “From Blackwell Dominance in Large Samples to Rényi Divergences and Back Again.” Econometrica, vol. 89, .no 1, Econometric Society, 2021, pp. 475-506, https://doi.org/10.3982/ECTA17548
Chicago
Mu, Xiaosheng, Luciano Pomatto, Philipp Strack, and Omer Tamuz. “From Blackwell Dominance in Large Samples to Rényi Divergences and Back Again.” Econometrica, 89, .no 1, (Econometric Society: 2021), 475-506. https://doi.org/10.3982/ECTA17548
APA
Mu, X., Pomatto, L., Strack, P., & Tamuz, O. (2021). From Blackwell Dominance in Large Samples to Rényi Divergences and Back Again. Econometrica, 89(1), 475-506. https://doi.org/10.3982/ECTA17548
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