Replication Data for: Board on the Job: Public-Pension Governance in the 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:'Though elected officials have the final say over pensions, boards of trustees also influence plan governance. Not a great deal is known about boards or how they shape policies. Boards are composed of politically and non-politically appointed members, as well as active and retired employees. Plan active-employee size turns out to be the best predictor of membership, suggesting that employee voice expands as plans cover more workers. Using both fixed effects and instrumental variables approaches, I show how boards shape plans' policies and funded levels. Active and retired members shape discount rates, while active membership is positively associated with funded ratios. Interestingly, political gridlock is also associated with higher discount rates. However, I find that plans' actual investment returns are poor predictors of expected retu' . 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" : ["pension, states, bureaucracy"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Though elected officials have the final say over pensions, boards of trustees also influence plan governance. Not a great deal is known about boards or how they shape policies. Boards are composed of politically and non-politically appointed members, as well as active and retired employees. Plan active-employee size turns out to be the best predictor of membership, suggesting that employee voice expands as plans cover more workers. Using both fixed effects and instrumental variables approaches, I show how boards shape plans' policies and funded levels. Active and retired members shape discount rates, while active membership is positively associated with funded ratios. Interestingly, political gridlock is also associated with higher discount rates. However, I find that plans' actual investment returns are poor predictors of expected retu' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Though elected officials have the final say over pensions, boards of trustees also influence plan governance. Not a great deal is known about boards or how they shape policies. Boards are composed of politically and non-politically appointed members, as well as active and retired employees. Plan active-employee size turns out to be the best predictor of membership, suggesting that employee voice expands as plans cover more workers. Using both fixed effects and instrumental variables approaches, I show how boards shape plans' policies and funded levels. Active and retired members shape discount rates, while active membership is positively associated with funded ratios. Interestingly, political gridlock is also associated with higher discount rates. However, I find that plans' actual investment returns are poor predictors of expected retu
pension, states, bureaucracy