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Can We Learn the Causes of Congressional Decisions from Roll-Call Data

Bibliographic Data

ID6301449
AuthorsPeter M Vandoren, Peter Vandoren (corresponding author)
Year1990
Volume15
Issue3
Pages311
Publication date1990-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLegislative Studies Quarterly (JOURNAL)
Journal identifiersISSN: 0362-9805 • E-ISSN: 1939-9162
PublisherWiley (PUBLISHER • GB)
DOI10.2307/439766
OpenAlexW2314684852
LanguageEN
Citations received40
References cited11

Scholars frequently use individual-level roll-call data to ascertain the causes of congressional behavior. However, the explanation of policy position variation across members does not explain aggregate policy decisions by Congress. Moreover, while these data are appropriate to explain the causes of policy-position variation across members, the attempt to econometrically isolate members' ideology from other causes has not been successful because important causes of decisions have not been included in the regression equations. Finally, roll-call votes are not a random sample of congressional decisions. Inferences made from roll calls have three sources of error. First, the processes that determine committee and voice-vote decisions are different from those that determine roll-call decisions. Second, the estimates of factor effects on decisions generated from roll-call data will be much too large, because they do not take account of the probability that a proposal receives committee approval and is subject to a roll call. Finally, the unknown causes of roll-call occurrence are correlated with the unknown causes of the actual

Business · Political science · Politics · Public relations · Roll call · Voting · Electoral Systems and Political Participation · Fiscal Policies and Political Economy · Law · Policy Transfer and Learning · Public Administration

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Unique citing works40
Citations per year1,18
Citation span1992 - 2023 (32)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 40

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