Bruno Calderón-Hernández, Horacio Larreguy, John Marshall, José Luis Pérez-Castellanos
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Electoral precinct-level database for Mexican municipal elections.
This paper introduces a database of electoral precinct-level election returns for Mexican municipal elections between 1994 and 2019. This database includes: (i) electoral precinct-level votes for each electoral coalition, the coalitions of the incumbent mayor and incumbent state governor, and the four most popular political parties; (ii) electoral precinct-level valid and total votes, the number of registered voters, and turnout; (iii) the partisan composition and municipal-level votes of the incumbent and runner-up electoral coalitions from the previous election; and (iv) the partisan composition of the state-level incumbent governor. This paper outlines the organization of this data, its sources, and key variables, and describes the processes used to standardize the data. This database has the potential to support the cross-sectional and longitudinal study of local Mexican elections over two decades using fine-grained precinct-level electoral returns that enable panel and regression discontinuity analyses.
期刊介绍：
Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data.
The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
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