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E-Democracy: Can We Model Adequately the Close National Presidential Elections?

  • Carlos Daniel Montenegro
  • , Pedro Nunes-Da-Silva
  • , Carlos Montenegro
  • Universidad San Francisco de Quito
  • Escuela Politecnica Nacional

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This research shows that the Regression Discontinuity Design (RDD) can be applied to close presidential elections worldwide to obtain samples of elections whose outcome - -leadership change or leadership continuation - -is assigned quasi-experimentally. It is shown that the number of close presidential elections is sufficiently numerous to fulfil regression discontinuity demands. Furthermore, a robustness checks reveals that the sample indeed behaves quasi-experimentally, as the assignment of electoral outcomes is independent of pre-election characteristics. Using this sample, researchers can estimate the causal effect of leadership changes on the substantive outcome of interest - -for instance, sovereign debt defaults - -without worrying too much for selection effects or omitted variable biases. The study contributes to the modelling of e-Democracy processes, including the elections, the mechanisms and their significance.

Original languageEnglish
Title of host publicationProceedings of the 2020 5th International Conference on Distance Education and Learning, ICDEL 2020
PublisherAssociation for Computing Machinery
Pages142-147
Number of pages6
ISBN (Electronic)9781450377546
DOIs
StatePublished - 20 May 2020
Event5th International Conference on Distance Education and Learning, ICDEL 2020 - Virtual, Online, China
Duration: 22 May 202025 May 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference5th International Conference on Distance Education and Learning, ICDEL 2020
Country/TerritoryChina
CityVirtual, Online
Period22/05/2025/05/20

Keywords

  • Close elections
  • Presidential elections
  • Regression Discontinuity
  • Regression Discontinuity in R

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