Exploring the Monte Carlo Analysis of Supreme Court Voting

Martin and Quinn used item response theory based on the Markov-Chain-Monte-Carlo method to estimate justices’ locations on a one-dimensional scale. Their analysis has been received with interest and doubts by the legal community. This paper explores the Markov Chain Monte Carlo algorithm in this setting with an eye to understand better its function, advantages, and disadvantages from a legal perspective and, hopefully, offer some improvements

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Year of publication:	2022
Authors:	Georgakopoulos, Nicholas L. ; Fisher, Mark
Publisher:	[S.l.] : SSRN
Subject:	Monte-Carlo-Simulation \| Monte Carlo simulation \| Rechtsprechung \| Court decisions \| Theorie \| Theory \| Verfassungsgericht \| Constitutional court \| Wahlverhalten \| Voting behaviour

Extent:	1 Online-Ressource (48 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments November 26, 2022 erstellt
Other identifiers:	10.2139/ssrn.4286744 [DOI]
Classification:	H00 - Public Economics. General ; K49 - Legal Procedure, the Legal System, and Illegal Behavior. Other
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014236972