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How Predictable is Your State? Leveraging Lexical and Contextual Information for Predicting Legislative Floor Action at the State Level
11 references·2 citing·49 second hop
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this work references cited by second hop

References

  • 1996Stacked Regressions1,945 cited
  • 2004The Statistical Analysis of Roll Call Data1,153 cited
  • 1985A Spatial Model for Legislative Roll Call Analysis1,003 cited
  • 2011The Ideological Mapping of American Legislatures761 cited
  • 2008A Scaling Model for Estimating Time‐Series Party Positions from Texts684 cited
  • 2017A general approach for predicting the behavior of the Supreme Court of the United States530 cited
  • 2013Determinants and Effects of Corporate Lobbying272 cited
  • 2011Predicting Legislative Roll Calls from Text144 cited
  • 2014Scaling Politically Meaningful Dimensions Using Texts and Votes143 cited
  • 2015Tea Party in the House: A Hierarchical Ideal Point Topic Model and Its Application to Republican Legislators in the 112th Congress58 cited
  • 2018Textual Predictors of Bill Survival in Congressional Committees48 cited

Cited by

  • 2022Modeling U.S. State-Level Policies by Extracting Winners and Losers from Legislative Texts4 cited
  • 2023Helping a Friend or Supporting a Cause? Disentangling Active and Passive Cosponsorship in the U.S. Congress1 cited

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