Replication Data for: Do Public Fund Windfalls Increase Corruption? Evidence From a Natural Disaster
<|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:'We show that unexpected financial windfalls increase corruption in local government. Our analysis uses a new data set on flood-related transfers, and the associated spending infringements, which the Bulgarian central government distributed to municipalities following torrential rains in 2004 and 2005. Using information from the publicly available audit reports, we are able to build a unique objective index of corruption. We also exploit the quasi-random nature of the rainfall shock (conditional on controls for ground flood risk) to isolate exogenous variation in the amount of funds received by each municipality' . 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" : ["corruption"]} <|eot_id|>
 Here is the Description of a dataset. Description:'We show that unexpected financial windfalls increase corruption in local government. Our analysis uses a new data set on flood-related transfers, and the associated spending infringements, which the Bulgarian central government distributed to municipalities following torrential rains in 2004 and 2005. Using information from the publicly available audit reports, we are able to build a unique objective index of corruption. We also exploit the quasi-random nature of the rainfall shock (conditional on controls for ground flood risk) to isolate exogenous variation in the amount of funds received by each municipality' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
We show that unexpected financial windfalls increase corruption in local government. Our analysis uses a new data set on flood-related transfers, and the associated spending infringements, which the Bulgarian central government distributed to municipalities following torrential rains in 2004 and 2005. Using information from the publicly available audit reports, we are able to build a unique objective index of corruption. We also exploit the quasi-random nature of the rainfall shock (conditional on controls for ground flood risk) to isolate exogenous variation in the amount of funds received by each municipality
corruption