1.

Record Nr.

UNINA9910455488803321

Autore

Myagkov Mikhail G.

Titolo

The forensics of election fraud : Russia and Ukraine / / Mikhail Myagkov, Peter C. Ordeshook, Dimitri Shakin [[electronic resource]]

Pubbl/distr/stampa

Cambridge : , : Cambridge University Press, , 2009

ISBN

1-107-19402-4

0-521-74836-4

0-511-64665-8

1-282-39106-2

9786612391064

0-511-65073-6

0-511-53920-7

0-511-53837-5

0-511-54004-3

Descrizione fisica

1 online resource (xiv, 289 pages) : digital, PDF file(s)

Disciplina

363.25/9324

Soggetti

Elections - Corrupt practices - Russia (Federation)

Elections - Corrupt practices - Ukraine

Elections - Corrupt practices - United States

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Nota di bibliografia

Includes bibliographical references (p. 275-277) and index.

Nota di contenuto

A forensics approach to detecting election fraud -- The fingerprints of fraud -- Russia -- Ukraine 2004 -- Ukraine 2006 and 2007 -- The United States.

Sommario/riassunto

This volume offers a number of forensic indicators of election fraud applied to official election returns, and tests and illustrates their application in Russia and Ukraine. Included are the methodology's econometric details and theoretical assumptions. The applications to Russia include the analysis of all federal elections between 1996 and 2007 and, for Ukraine, between 2004 and 2007. Generally, we find that fraud has metastasized within the Russian polity during Putin's administration with upwards of 10 million or more suspect votes in both the 2004 and 2007 balloting, whereas in Ukraine, fraud has



diminished considerably since the second round of its 2004 presidential election where between 1.5 and 3 million votes were falsified. The volume concludes with a consideration of data from the United States to illustrate the dangers of the application of our methods without due consideration of an election's substantive context and the characteristics of the data at hand.