Replication Data for: Is Temperature Exogenous? The Impact of Civil Conflict on the Instrumental Climate Record in Sub-Saharan Africa
<|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:'Research into the effects of climate on political and economic outcomes assumes that short-term variation in weather is exogenous to the phenomena being studied.  However, weather data are derived from stations operated by national governments, whose political capacity and stability affect the quality and continuity of coverage.  We show that civil conflict risk in Sub-Saharan Africa is negatively correlated with the number and density of weather stations contributing to a country’s temperature record.  This effect is both cross-sectional—countries with higher average conflict risk tend to have poorer coverage—and cross-temporal—civil conflict leads to loss of weather stations.  Poor coverage induces a small downward bias in one widely used temperature data set, due to its interpolation method, and increases measurement error, potentiall' . 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" : ["Civil conflict","Climate","Measurement error","Temperature"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Research into the effects of climate on political and economic outcomes assumes that short-term variation in weather is exogenous to the phenomena being studied.  However, weather data are derived from stations operated by national governments, whose political capacity and stability affect the quality and continuity of coverage.  We show that civil conflict risk in Sub-Saharan Africa is negatively correlated with the number and density of weather stations contributing to a country’s temperature record.  This effect is both cross-sectional—countries with higher average conflict risk tend to have poorer coverage—and cross-temporal—civil conflict leads to loss of weather stations.  Poor coverage induces a small downward bias in one widely used temperature data set, due to its interpolation method, and increases measurement error, potentiall' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Research into the effects of climate on political and economic outcomes assumes that short-term variation in weather is exogenous to the phenomena being studied.  However, weather data are derived from stations operated by national governments, whose political capacity and stability affect the quality and continuity of coverage.  We show that civil conflict risk in Sub-Saharan Africa is negatively correlated with the number and density of weather stations contributing to a country’s temperature record.  This effect is both cross-sectional—countries with higher average conflict risk tend to have poorer coverage—and cross-temporal—civil conflict leads to loss of weather stations.  Poor coverage induces a small downward bias in one widely used temperature data set, due to its interpolation method, and increases measurement error, potentiall
Civil conflict; Climate; Measurement error; Temperature