Replication Data for: Administrative characteristics and timing of government’s crisis responses: A global study of early reactions to COVID-19
<|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:'In a crisis, fast reaction is key. But what can public administration tell us about this? This study develops a theoretical framework explaining how administrative characteristics, including fragmentation, capacities, legacies and learning, affect governments’ response timing. The COVID-19 pandemic is exploited as a unique empirical setting to test this framework and its scope conditions. The study combines freely available datasets with hand collected new data on health ministries. This data set contains the original data on health ministries' . 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" : ["Comparative public administration","National governments","Portfolio design"]} <|eot_id|>
 Here is the Description of a dataset. Description:'In a crisis, fast reaction is key. But what can public administration tell us about this? This study develops a theoretical framework explaining how administrative characteristics, including fragmentation, capacities, legacies and learning, affect governments’ response timing. The COVID-19 pandemic is exploited as a unique empirical setting to test this framework and its scope conditions. The study combines freely available datasets with hand collected new data on health ministries. This data set contains the original data on health ministries' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
In a crisis, fast reaction is key. But what can public administration tell us about this? This study develops a theoretical framework explaining how administrative characteristics, including fragmentation, capacities, legacies and learning, affect governments’ response timing. The COVID-19 pandemic is exploited as a unique empirical setting to test this framework and its scope conditions. The study combines freely available datasets with hand collected new data on health ministries. This data set contains the original data on health ministries
Comparative public administration; National governments; Portfolio design