English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Spatial voting models of legislators' preferences are used in politicalscience to test theories about their voting behavior. These models posit thatlegislators' ideologies as well as the ideologies reflected in votes for andagainst a bill or measure exist as points in some low dimensional space, andthat legislators vote for positions that are close to their own ideologies.Bayesian spatial voting models have been developed to test sharp hypothesesabout whether a legislator's revealed ideal point differs for two distinct setsof bills. This project extends such a model to identify covariates that explainwhether legislators exhibit such differences in ideal points. We use our methodto examine voting behavior on procedural versus final passage votes in the U.S.house of representatives for the 93rd through 113th congresses. The analysisprovides evidence that legislators in the minority party as well as legislatorswith a moderate constituency are more likely to have different ideal points forprocedural versus final passage votes.

Explaining Differences in Voting Patterns Across Voting Domains Using Hierarchical Bayesian Models