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Spanish electoral archive. SEA database
Virgilio Pérez1, Cristina Aybar1, Jose M Pavía2
1GIPEyOP, Área de Métodos Cuantitativos, Departamento de Economía Aplicada, Facultat d'Economía, Universitat de Valencia, Valencia, Spain.
The Spanish Electoral Archive (SEA) offers the most comprehensive public dataset on Spanish election results since democracy's restoration. This free, accessible archive provides valuable data for electoral studies and prediction models.
Area of Science:
- Political Science
- Data Science
- Computational Social Science
Background:
- Comprehensive data on Spanish electoral processes is crucial for academic research and policy analysis.
- Existing repositories often lack completeness or standardized formats, hindering comparative studies.
- The restoration of democracy in Spain (late 1970s) marked the beginning of extensive electoral data collection.
Purpose of the Study:
- To introduce and describe the Spanish Electoral Archive (SEA) database.
- To provide a centralized, homogeneous, and accessible repository of Spanish election outcomes.
- To detail the structure, variables, and data processing methods within the SEA.
Main Methods:
- Compilation of historical election results from General, Regional, Local, and European Parliamentary elections in Spain.
- Data homogenization and standardization across different electoral levels and time periods.
- Development of a user-friendly format for data access and download, including ballot-box level data.
Main Results:
- The SEA database is the most complete public repository of Spanish election results available to date.
- Data spans General (1979-2019), Regional (1989-2021), Local (1979-2019), and European Parliamentary (1987-2019) elections.
- The database is freely accessible in a homogeneous format, with options for downloading data from various electoral levels.
Conclusions:
- The SEA database serves as a vital resource for researchers studying electoral behavior, turnout, and political trends in Spain.
- Its comprehensive and accessible nature facilitates advanced analyses, including election prediction and ecological inference.
- Future work will focus on expanding the database and exploring novel applications for the electoral data.
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