Simulation models to support the preliminary electoral results program for the Mexican Electoral Institute

David F. Muñoz (), Héctor Gardida (), Hugo Velázquez () and Jorge D. Ayala ()
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David F. Muñoz: Instituto Tecnológico Autónomo de México
Héctor Gardida: Instituto Nacional Electoral
Hugo Velázquez: Instituto Nacional Electoral
Jorge D. Ayala: Instituto Tecnológico Autónomo de México

Annals of Operations Research, 2022, vol. 316, issue 2, No 18, 1156 pages

Abstract: Abstract On July 1st, 2018, federal elections for president, senators and deputies took place in Mexico. In most states, elections for state governors and representatives took also place in the same polling booths. The Technical Unit for Information Services (UNICOM) of the National Electoral Institute (INE) of Mexico has the responsibility for planning and implementation of the Preliminary Electoral Results Program (PREP) for federal elections. For the 2018 elections UNICOM developed forecasting models for the performance of PREP based on simulation models that were developed using a special purpose simulation software and C++ subroutines for fast simulation of queues. These simulation models were a valuable tool for planning, scheduling and allocation of the main resources that participated in the operational process of the PREP. In this article we report the main features, applications and results obtained by using these simulation models.

Keywords: Stochastic simulation; Electoral results; Electoral processes; Transparency (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10479-020-03821-3

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