Replication Data for: One-dimensional scaling without apologies
<|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:'I propose a fully non-parametric framework for estimation of and inference on the location of political parties in a one-dimensional scale.  I derive a novel balance condition sufficient for identification and consistent estimation of the parties' order, and a weaker error rate condition that partially identifies the order.   Capitalizing on recent advances in testing moment inequalities, I propose a strong and weak specification test of the one-dimensional model.  These tests can also be interpreted as tests of a weak sufficient condition for the existence of a majority-core party.  Under stronger cardinal assumptions on preferences, I rely on arguments from revealed preference theory to execute similar tests efficiently, obviating the need for confidence set construction using an approximating grid of party locations.  I illustrate th' . 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" : ["Scaling","undfolding","moment inequalities","specification tests","non-parametric."]} <|eot_id|>
 Here is the Description of a dataset. Description:'I propose a fully non-parametric framework for estimation of and inference on the location of political parties in a one-dimensional scale.  I derive a novel balance condition sufficient for identification and consistent estimation of the parties' order, and a weaker error rate condition that partially identifies the order.   Capitalizing on recent advances in testing moment inequalities, I propose a strong and weak specification test of the one-dimensional model.  These tests can also be interpreted as tests of a weak sufficient condition for the existence of a majority-core party.  Under stronger cardinal assumptions on preferences, I rely on arguments from revealed preference theory to execute similar tests efficiently, obviating the need for confidence set construction using an approximating grid of party locations.  I illustrate th' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
I propose a fully non-parametric framework for estimation of and inference on the location of political parties in a one-dimensional scale.  I derive a novel balance condition sufficient for identification and consistent estimation of the parties' order, and a weaker error rate condition that partially identifies the order.   Capitalizing on recent advances in testing moment inequalities, I propose a strong and weak specification test of the one-dimensional model.  These tests can also be interpreted as tests of a weak sufficient condition for the existence of a majority-core party.  Under stronger cardinal assumptions on preferences, I rely on arguments from revealed preference theory to execute similar tests efficiently, obviating the need for confidence set construction using an approximating grid of party locations.  I illustrate th
Scaling; undfolding; moment inequalities; specification tests; non-parametric.