L S Penrose's Limit Theorem: Tests by Simulation

LS Penrose’s limit theorem (PLT) – which is implicit in Penrose [5, p. 72] and for which he gave no rigorous proof – says that, in simple weighted voting games, if the number of voters increases indefinitely while existing voters retain their weights and the relative quota is pegged, then – under ce...

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Main Authors: CHANG, Pao-Li, CHUA, Vincent, MACHOVER, Moshe
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Language:English
Published: Institutional Knowledge at Singapore Management University 2004
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Online Access:https://ink.library.smu.edu.sg/soe_research/827
https://ink.library.smu.edu.sg/context/soe_research/article/1826/viewcontent/ccm.pdf
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spelling sg-smu-ink.soe_research-18262019-05-04T13:27:12Z L S Penrose's Limit Theorem: Tests by Simulation CHANG, Pao-Li CHUA, Vincent MACHOVER, Moshe LS Penrose’s limit theorem (PLT) – which is implicit in Penrose [5, p. 72] and for which he gave no rigorous proof – says that, in simple weighted voting games, if the number of voters increases indefinitely while existing voters retain their weights and the relative quota is pegged, then – under certain conditions – the ratio between the voting powers of any two voters converges to the ratio between their weights. Lindner and Machover [3] prove some special cases of PLT; and conjecture that the theorem holds, under rather general conditions, for large classes of weighted voting games, various values of the quota, and with respect to several measures of voting power. We use simulation to test this conjecture. It is corroborated w.r.t. the Penrose–Banzhaf index for a quota of 50% but not for other values; w.r.t. the Shapley–Shubik index the conjecture is corroborated for all values of the quota (short of 100%). 2004-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/827 https://ink.library.smu.edu.sg/context/soe_research/article/1826/viewcontent/ccm.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University limit theorems majority games simulation weighted votinggames Econometrics Economic Theory
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic limit theorems
majority games
simulation
weighted votinggames
Econometrics
Economic Theory
spellingShingle limit theorems
majority games
simulation
weighted votinggames
Econometrics
Economic Theory
CHANG, Pao-Li
CHUA, Vincent
MACHOVER, Moshe
L S Penrose's Limit Theorem: Tests by Simulation
description LS Penrose’s limit theorem (PLT) – which is implicit in Penrose [5, p. 72] and for which he gave no rigorous proof – says that, in simple weighted voting games, if the number of voters increases indefinitely while existing voters retain their weights and the relative quota is pegged, then – under certain conditions – the ratio between the voting powers of any two voters converges to the ratio between their weights. Lindner and Machover [3] prove some special cases of PLT; and conjecture that the theorem holds, under rather general conditions, for large classes of weighted voting games, various values of the quota, and with respect to several measures of voting power. We use simulation to test this conjecture. It is corroborated w.r.t. the Penrose–Banzhaf index for a quota of 50% but not for other values; w.r.t. the Shapley–Shubik index the conjecture is corroborated for all values of the quota (short of 100%).
format text
author CHANG, Pao-Li
CHUA, Vincent
MACHOVER, Moshe
author_facet CHANG, Pao-Li
CHUA, Vincent
MACHOVER, Moshe
author_sort CHANG, Pao-Li
title L S Penrose's Limit Theorem: Tests by Simulation
title_short L S Penrose's Limit Theorem: Tests by Simulation
title_full L S Penrose's Limit Theorem: Tests by Simulation
title_fullStr L S Penrose's Limit Theorem: Tests by Simulation
title_full_unstemmed L S Penrose's Limit Theorem: Tests by Simulation
title_sort l s penrose's limit theorem: tests by simulation
publisher Institutional Knowledge at Singapore Management University
publishDate 2004
url https://ink.library.smu.edu.sg/soe_research/827
https://ink.library.smu.edu.sg/context/soe_research/article/1826/viewcontent/ccm.pdf
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