Concavity and Convexity of Order Statistics in Sample Size

Fuente: arXiv
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Autore principale: Watt, Mitchell
Natura: Preprint
Pubblicazione: 2021
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author Watt, Mitchell
author_facet Watt, Mitchell
contents We show that the expectation of the $k^{\mathrm{th}}$-order statistic of an i.i.d. sample of size $n$ from a monotone reverse hazard rate (MRHR) distribution is convex in $n$ and that the expectation of the $(n-k+1)^{\mathrm{th}}$-order statistic from a monotone hazard rate (MHR) distribution is concave in $n$ for $n\ge k$. We apply this result to the analysis of independent private value auctions in which the auctioneer faces a convex cost of attracting bidders. In this setting, MHR valuation distributions lead to concavity of the auctioneer's objective. We extend this analysis to auctions with reserve values, in which concavity is assured for sufficiently small reserves or for a sufficiently large number of bidders.
format Preprint
id arxiv_https___arxiv_org_abs_2111_04702
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Concavity and Convexity of Order Statistics in Sample Size
Watt, Mitchell
Theoretical Economics
We show that the expectation of the $k^{\mathrm{th}}$-order statistic of an i.i.d. sample of size $n$ from a monotone reverse hazard rate (MRHR) distribution is convex in $n$ and that the expectation of the $(n-k+1)^{\mathrm{th}}$-order statistic from a monotone hazard rate (MHR) distribution is concave in $n$ for $n\ge k$. We apply this result to the analysis of independent private value auctions in which the auctioneer faces a convex cost of attracting bidders. In this setting, MHR valuation distributions lead to concavity of the auctioneer's objective. We extend this analysis to auctions with reserve values, in which concavity is assured for sufficiently small reserves or for a sufficiently large number of bidders.
title Concavity and Convexity of Order Statistics in Sample Size
topic Theoretical Economics
url https://arxiv.org/abs/2111.04702