Replication Data for: The Dynamics of Racial Resentment Across the 50 U.S. States
<|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:'Although many scholars who study the role of racial animus on Americans’ political attitudes and policy preferences do so to help us understand national-level politics, (racialized) policy is largely shaped at the state level. States are laboratories of policy innovation whose experiments can exacerbate or ameliorate racial inequality. With that in consideration, we aim to develop state-level scores of racial resentment. By employing linear multilevel regression and post-stratification weighting techniques and by linking nationally-representative survey data with U.S. Census data, we create time-varying, dynamic state level estimates of racial resentment from 1988 to 2016. Through this endeavor we are able to explore whether and the extent to which subnational levels of racial attitudes fluctuate over time, and provide a comparative ana' . 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" : ["state politics, racial resentment"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Although many scholars who study the role of racial animus on Americans’ political attitudes and policy preferences do so to help us understand national-level politics, (racialized) policy is largely shaped at the state level. States are laboratories of policy innovation whose experiments can exacerbate or ameliorate racial inequality. With that in consideration, we aim to develop state-level scores of racial resentment. By employing linear multilevel regression and post-stratification weighting techniques and by linking nationally-representative survey data with U.S. Census data, we create time-varying, dynamic state level estimates of racial resentment from 1988 to 2016. Through this endeavor we are able to explore whether and the extent to which subnational levels of racial attitudes fluctuate over time, and provide a comparative ana' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Although many scholars who study the role of racial animus on Americans’ political attitudes and policy preferences do so to help us understand national-level politics, (racialized) policy is largely shaped at the state level. States are laboratories of policy innovation whose experiments can exacerbate or ameliorate racial inequality. With that in consideration, we aim to develop state-level scores of racial resentment. By employing linear multilevel regression and post-stratification weighting techniques and by linking nationally-representative survey data with U.S. Census data, we create time-varying, dynamic state level estimates of racial resentment from 1988 to 2016. Through this endeavor we are able to explore whether and the extent to which subnational levels of racial attitudes fluctuate over time, and provide a comparative ana
state politics, racial resentment