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Replication Data for: No Accountability without Transparency and Consistency: Evaluating Mexico’s Redistricting-by-Formula

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: No Accountability without Transparency and Consistency: Evaluating Mexico’s Redistricting-by-Formula
 
Identifier https://doi.org/10.7910/DVN/PYRXGE
 
Creator Alejandro Trelles
Altman, Micah
Eric Magar
Michael McDonald
 
Publisher Harvard Dataverse
 
Description Since 1996, an independent bureaucracy in Mexico has carried out a redistricting process purportedly
founded in machine optimization of plans based on open and objective criteria. However, the process of
‘‘fine-tuning’’ the plans that are initially produced by formula is conducted behind closed doors where parties and experts are allowed to offer counter-proposals. This raises questions about the necessary conditions
required for a bureaucracy to operate in a transparent, consistent, and accountable manner. Our research
examines this question through the analysis of private records that trace the bargaining process that
takes place between parties and bureaucrats. Analysis uncovers substantial gaps in transparency and consistency. Accountability in the Mexican redistricting process remains wanting without these
 
Subject Social Sciences
 
Date 2023-03-01
 
Contributor Altman, Micah