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The research aims to explain the dynamics of machine politics and accountability in electoral processes.

Perverse Accountability: A Formal Model of Machine Politics with Evidence from Argentina

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The research aims to explain the dynamics of machine politics and accountability in electoral processes.
Developed a formal model based on iterated prisoners' dilemma to analyze voter-machine interactions.
Tested hypotheses using empirical data from Argentina.
Examined how voter incomes and ideological stances affect machine politics effectiveness.
Found that increased monitoring by machines correlates with higher compliance from voters.
Identified that ideological alignment between voters and machines enhances accountability.
Hypothesized outcomes suggest strategic voting behavior influenced by clientelist incentives.

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Formal model analyzes machine politics effects on voter behavior, suggesting critical insights into accountability mechanisms.

Susan C. Stokes (2005) studied this question.

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