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Project Citation: 

Casey, Katherine. Replication data for: Crossing Party Lines: The Effects of Information on Redistributive Politics. Nashville, TN: American Economic Association [publisher], 2015. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E112917V1

Project Description

Summary:  View help for Summary Many lament that weak accountability and poor governance impede economic development in Africa. Politicians rely on ethnic allegiances that deliver the vote irrespective of performance, dampening electoral incentives. Giving voters information about candidate competence counters ethnic loyalty and strengthens accountability. I extend a canonical electoral model to show how information provision flows through voter behavior and ultimately impacts the distribution of political spending. I test the theory on data from Sierra Leone using decentralization and differential radio coverage to identify information's effects. Estimates suggest that information increases voting across ethnic-party lines and induces a more equitable allocation of campaign spending. (JEL D72, D83, J15, O17, Z13)

Scope of Project

JEL Classification:  View help for JEL Classification
      D72 Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
      D83 Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
      J15 Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
      O17 Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
      Z13 Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification
Geographic Coverage:  View help for Geographic Coverage Sierra Leone
Time Period(s):  View help for Time Period(s) 2004 – 2008
Universe:  View help for Universe All households in Sierra Leone
Data Type(s):  View help for Data Type(s) survey data; administrative records data; census/enumeration data; observational data; program source code

Methodology

Unit(s) of Observation:  View help for Unit(s) of Observation Households, individuals, politicians, radio stations,

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