Distributions of Posterior Quantiles via Matching

Fuente: arXiv
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Main Authors: Kolotilin, Anton, Wolitzky, Alexander
Format: Preprint
Published: 2024
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author Kolotilin, Anton
Wolitzky, Alexander
author_facet Kolotilin, Anton
Wolitzky, Alexander
contents We offer a simple analysis of the problem of choosing a statistical experiment to optimize the induced distribution of posterior medians, or more generally $q$-quantiles for any $q \in (0,1)$. We show that all implementable distributions of the posterior $q$-quantile are implemented by a single experiment, the $q$-quantile matching experiment, which pools pairs of states across the $q$-quantile of the prior in a positively assortative manner, with weight $q$ on the lower state in each pair. A dense subset of implementable distributions of posterior $q$-quantiles can be uniquely implemented by perturbing the $q$-quantile matching experiment. A linear functional is optimized over distributions of posterior $q$-quantiles by taking the optimal selection from each set of $q$-quantiles induced by the $q$-quantile matching experiment. The $q$-quantile matching experiment is the only experiment that simultaneously implements all implementable distributions of the posterior $q$-quantile.
format Preprint
id arxiv_https___arxiv_org_abs_2402_17142
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Distributions of Posterior Quantiles via Matching
Kolotilin, Anton
Wolitzky, Alexander
Theoretical Economics
We offer a simple analysis of the problem of choosing a statistical experiment to optimize the induced distribution of posterior medians, or more generally $q$-quantiles for any $q \in (0,1)$. We show that all implementable distributions of the posterior $q$-quantile are implemented by a single experiment, the $q$-quantile matching experiment, which pools pairs of states across the $q$-quantile of the prior in a positively assortative manner, with weight $q$ on the lower state in each pair. A dense subset of implementable distributions of posterior $q$-quantiles can be uniquely implemented by perturbing the $q$-quantile matching experiment. A linear functional is optimized over distributions of posterior $q$-quantiles by taking the optimal selection from each set of $q$-quantiles induced by the $q$-quantile matching experiment. The $q$-quantile matching experiment is the only experiment that simultaneously implements all implementable distributions of the posterior $q$-quantile.
title Distributions of Posterior Quantiles via Matching
topic Theoretical Economics
url https://arxiv.org/abs/2402.17142