Replication data for: Collective Action in Diverse Sierra Leone Communities.
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Scholars have identified ethnic divisions as a leading cause of underdevelopment, due partially to their adverse effects on public goods. We investigate this issue in post-war Sierra Leone, one of the world's poorest and most ethnically diverse countries. To address concerns over endogenous local ethnic composition, we use an instrumental variables strategy using earlier census data on ethnicity and include several historical and geographic covariates. Perhaps surprisingly, we find that local diversity is not associated with worse public goods provision across multiple outcomes and specifications, with precisely estimated zeros. We investigate the role of historical factors in generating the findings' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["African development","Conflict","Education","Health","Human Capital","Political economy"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Scholars have identified ethnic divisions as a leading cause of underdevelopment, due partially to their adverse effects on public goods. We investigate this issue in post-war Sierra Leone, one of the world's poorest and most ethnically diverse countries. To address concerns over endogenous local ethnic composition, we use an instrumental variables strategy using earlier census data on ethnicity and include several historical and geographic covariates. Perhaps surprisingly, we find that local diversity is not associated with worse public goods provision across multiple outcomes and specifications, with precisely estimated zeros. We investigate the role of historical factors in generating the findings' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Scholars have identified ethnic divisions as a leading cause of underdevelopment, due partially to their adverse effects on public goods. We investigate this issue in post-war Sierra Leone, one of the world's poorest and most ethnically diverse countries. To address concerns over endogenous local ethnic composition, we use an instrumental variables strategy using earlier census data on ethnicity and include several historical and geographic covariates. Perhaps surprisingly, we find that local diversity is not associated with worse public goods provision across multiple outcomes and specifications, with precisely estimated zeros. We investigate the role of historical factors in generating the findings
African development; Conflict; Education; Health; Human Capital; Political economy