Replication Data for: Does Affirmative Action Worsen Bureaucratic Performance? Evidence from the Indian Administrative Service
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Replication Data for: Does Affirmative Action Worsen Bureaucratic Performance? Evidence from the Indian Administrative Service
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Identifier |
https://doi.org/10.7910/DVN/MS6ZTZ
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Creator |
Bhavnani, Rikhil R.
Lee, Alexander |
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Publisher |
Harvard Dataverse
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Description |
Although many countries recruit bureaucrats using affirmative action, the effect of affirmative action recruits on bureaucratic performance has rarely been examined. Some worry that affirmative action worsens bureaucratic performance by diminishing the quality of recruits, while others posit that it improves performance by making recruits more representative of and responsive to the population. We test for these possibilities using unusually detailed data on the recruitment, background and careers of India's elite bureaucracy. We examine the effect of affirmative action hires on district-level implementation of MGNREGA, the world's largest anti-poverty program. The data suggest that disadvantaged group members recruited via affirmative action perform no worse than others.
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Subject |
Social Sciences
Bureaucracy Affirmative action programs Public goods |
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Contributor |
Bhavnani, Rikhil
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Source |
Bhavnani, Rikhil R.; Lee, Alexander, 2017, "Replication Data for: Local Embeddedness and Bureaucratic Performance: Evidence from India", https://doi.org/10.7910/DVN/ TWDSBW, Harvard Dataverse, V1, UNF:6:ITuqepiMxGQgckmpnZeKkw== [fileUNF] Bohlken, Anjali Thomas, 2018, "Replication Data for: Targeting Ordinary Voters or Political Elites?: Why Pork is Distributed Along Partisan Lines in India", https://doi.org/10.7910/DVN/ROLEY5, Harvard Dataverse, V1, UNF:6:VcGo2ogKLrMWP7xScrjsWw==[fileUNF] Knoema Inc., 2018 "District Wise Rainfall Data for India." https://knoema.com/aulvzxc/district-wise-rainfall-data-for-india Version 2018, No identifier. |
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