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Replication Data for: Love Thy (Elected) Neighbor? Residential Segregation, Political Representation and Local Public Goods

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NIAID Data Ecosystem2026-03-13 收录
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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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2022-09-06
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