Replication Data for: National Electoral Thresholds and Disproportionality
<|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:'We model the conditional distribution of seats given vote shares induced by national electoral systems using a stochastic threshold of representation and a disproportionality parameter that regulates allocation for parties above the threshold.   We establish conditions for the parameters of this model to be identified from observed seats/votes data, and develop a  Maximum a Posteriori Expectation-Maximization (MAP-EM) algorithm to estimate them.  We apply the procedure to 116 electoral systems used in 417 elections to the lower house across 36 European countries since WWII.  We reject a test of model fit in only 5 of those systems, while a simpler model without thresholds is rejected in favor of our estimated model in 49 electoral systems. We find that the two modal electoral system configurations involve higher thresholds with seat all' . 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" : ["Electoral Systems","Expectation-Maximization"]} <|eot_id|>
 Here is the Description of a dataset. Description:'We model the conditional distribution of seats given vote shares induced by national electoral systems using a stochastic threshold of representation and a disproportionality parameter that regulates allocation for parties above the threshold.   We establish conditions for the parameters of this model to be identified from observed seats/votes data, and develop a  Maximum a Posteriori Expectation-Maximization (MAP-EM) algorithm to estimate them.  We apply the procedure to 116 electoral systems used in 417 elections to the lower house across 36 European countries since WWII.  We reject a test of model fit in only 5 of those systems, while a simpler model without thresholds is rejected in favor of our estimated model in 49 electoral systems. We find that the two modal electoral system configurations involve higher thresholds with seat all' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
We model the conditional distribution of seats given vote shares induced by national electoral systems using a stochastic threshold of representation and a disproportionality parameter that regulates allocation for parties above the threshold.   We establish conditions for the parameters of this model to be identified from observed seats/votes data, and develop a  Maximum a Posteriori Expectation-Maximization (MAP-EM) algorithm to estimate them.  We apply the procedure to 116 electoral systems used in 417 elections to the lower house across 36 European countries since WWII.  We reject a test of model fit in only 5 of those systems, while a simpler model without thresholds is rejected in favor of our estimated model in 49 electoral systems. We find that the two modal electoral system configurations involve higher thresholds with seat all
Electoral Systems; Expectation-Maximization