Política y gobierno 18(2), pp. 297-329.
ISSN/ISBN: Not available at this time. DOI: Not available at this time.
Note - this is a foreign language paper: SPA
Abstract: This article analyses the viability of Benford’s Law in the forensic study of the detection of electoral frauds. According to this law, the initial digits of a set of numbers follow a logarithmic distribution as long as the data has not been disturbed. Implementa- tion of this law in socioeconomic data —or in other types of data— depends on the pres- ence of a two-fold randomized process: events of a distribution, and probability distribu- tions selected from a reduced group. Through agent-based models, it is demonstrated that this law does not offer a robust test to distinguish between clean elections and elec- tions that have been manipulated. In the model-in-question, partisan preferences are modified by means of social transmission and the parameters are calibrated with data from the Mexican 2006 elections.
Bibtex:
@article{article,
author = {Castaneda, Gonzalo},
year = {2011},
month = {12},
pages = {297--329},
title = {La ley de Benford y su aplicabilidad en el análisis forense de resultados electorales},
volume = {18},
number = {2},
journal = {Política y gobierno}
}
Reference Type: Journal Article
Subject Area(s): Voting Fraud