Replication Data for: Love Thy (Elected) Neighbor? Residential Segregation, Political Representation and Local Public Goods
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Replication Data for: Love Thy (Elected) Neighbor? Residential Segregation, Political Representation and Local Public Goods
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Identifier |
https://doi.org/10.7910/DVN/W0FWBT
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Creator |
Tukiainen, Janne
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Publisher |
Harvard Dataverse
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Description |
We study geographic political representation and geographic distribution of local public goods within local jurisdictions with at-large proportional representation elections. We use detailed geo-coded data on politicians, the electorate and elementary schools. Descriptive analysis reveals that poorer neighborhoods are under-represented and that local politicians have a strong support base in their home neighbourhoods. Based on randomized election outcomes due to personal vote count ties, geographic representation has a causal effect on school closures. The probability of closure is cut in half when a candidate living close to the school is randomly elected. High-income residents react to closures by moving away from the neighborhood, thus reinforcing segregation.
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Subject |
Social Sciences
Geographic representation Random elections Residential segregation School closure |
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Contributor |
Tukiainen, Janne
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