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Perverse Accountability: A Formal Model of Machine Politics with Evidence from Argentina
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2005
Year
Machine PoliticsPerverse AccountabilityPolitical BehaviorSmart VotingSocial SciencesDemocracyDeep InsertionElectronic VotingPolitical MachinesSecret BallotPolitical SystemElection ForecastingPublic PolicyComparative PoliticsVoting RulePolitical CompetitionFormal ModelAccountabilityPolitical Science
Political machines mobilize electoral support by trading particularistic benefits to voters, but the secret ballot allows voters to renege and vote independently. The study seeks to explain machine politics by showing how parties use deep social‑network penetration to infer votes and threaten punishment, thereby creating accountability. The authors model the machine–voter interaction as an iterated prisoners’ dilemma with one‑sided uncertainty, derive hypotheses on monitoring, income, and ideology, and test them with Argentine data.
Political machines (or clientelist parties) mobilize electoral support by trading particularistic benefits to voters in exchange for their votes. But if the secret ballot hides voters' actions from the machine, voters are able to renege, accepting benefits and then voting as they choose. To explain how machine politics works, I observe that machines use their deep insertion into voters' social networks to try to circumvent the secret ballot and infer individuals' votes. When parties influence how people vote by threatening to punish them for voting for another party, I call this accountability . I analyze the strategic interaction between machines and voters as an iterated prisoners' dilemma game with one-sided uncertainty. The game generates hypotheses about the impact of the machine's capacity to monitor voters, and of voters' incomes and ideological stances, on the effectiveness of machine politics. I test these hypotheses with data from Argentina.
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