Replication Data for:Estimating slim-majority effects in US state legislatures with a regression discontinuity design under local randomization assumptions
<|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:'Regression discontinuity design could be a valuable tool for identifying causaleffects of a given party holding a legislative majority. However, the variable ‘numberof seats’ takes a finite number of values rather than a continuum and, hence, it is notsuited as a running variable. Recent econometric advances suggest the necessaryassumptions and empirical tests that allow us to interpret small intervals around thecut-off as local randomized experiments. These permit us to bypass the assumptionthat the running variable must be continuous. Herein, we implement these tests forUS state legislatures and propose another: whether a slim-majority of one seat hadat least one state-level district result that was itself a close race won by the majorityparty' . 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" : ["Local randomization","Regression discontinuity design","Slim-majorities"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Regression discontinuity design could be a valuable tool for identifying causaleffects of a given party holding a legislative majority. However, the variable ‘numberof seats’ takes a finite number of values rather than a continuum and, hence, it is notsuited as a running variable. Recent econometric advances suggest the necessaryassumptions and empirical tests that allow us to interpret small intervals around thecut-off as local randomized experiments. These permit us to bypass the assumptionthat the running variable must be continuous. Herein, we implement these tests forUS state legislatures and propose another: whether a slim-majority of one seat hadat least one state-level district result that was itself a close race won by the majorityparty' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Regression discontinuity design could be a valuable tool for identifying causaleffects of a given party holding a legislative majority. However, the variable ‘numberof seats’ takes a finite number of values rather than a continuum and, hence, it is notsuited as a running variable. Recent econometric advances suggest the necessaryassumptions and empirical tests that allow us to interpret small intervals around thecut-off as local randomized experiments. These permit us to bypass the assumptionthat the running variable must be continuous. Herein, we implement these tests forUS state legislatures and propose another: whether a slim-majority of one seat hadat least one state-level district result that was itself a close race won by the majorityparty
Local randomization; Regression discontinuity design; Slim-majorities