Replication Data for: Geographic Boundaries and Local Economic Conditions Matter for Views of the Economy
<|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:'The link between objective facts and politically-relevant beliefs is an essential mechanism for democratic accountability. Yet the bulk of empirical work on this topic measures objective facts at whatever geographic units are readily available. We investigate the implications of these largely arbitrary choices for predicting individual-level opinions. We show that varying the geographic resolution -- namely aggregating economic data to different geographic units -- influences the strength of the relationship between economic evaluations and local economic conditions. Finding that unemployment claims are the best predictor of economic evaluations, especially when aggregated at the commuting zone or media market level, we underscore the importance of the modifiable areal unit problem (MAUP). Our methods provide an example of how applied s' . 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" : ["ecological inference","economic evaluations","machine learning","model selection","modifiable areal unit problem","partisanship","political geography","random forests","spatial politics"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The link between objective facts and politically-relevant beliefs is an essential mechanism for democratic accountability. Yet the bulk of empirical work on this topic measures objective facts at whatever geographic units are readily available. We investigate the implications of these largely arbitrary choices for predicting individual-level opinions. We show that varying the geographic resolution -- namely aggregating economic data to different geographic units -- influences the strength of the relationship between economic evaluations and local economic conditions. Finding that unemployment claims are the best predictor of economic evaluations, especially when aggregated at the commuting zone or media market level, we underscore the importance of the modifiable areal unit problem (MAUP). Our methods provide an example of how applied s' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The link between objective facts and politically-relevant beliefs is an essential mechanism for democratic accountability. Yet the bulk of empirical work on this topic measures objective facts at whatever geographic units are readily available. We investigate the implications of these largely arbitrary choices for predicting individual-level opinions. We show that varying the geographic resolution -- namely aggregating economic data to different geographic units -- influences the strength of the relationship between economic evaluations and local economic conditions. Finding that unemployment claims are the best predictor of economic evaluations, especially when aggregated at the commuting zone or media market level, we underscore the importance of the modifiable areal unit problem (MAUP). Our methods provide an example of how applied s
ecological inference; economic evaluations; machine learning; model selection; modifiable areal unit problem; partisanship; political geography; random forests; spatial politics