Legislator Preference Estimation

Legislator Preference Estimation is a methodological framework in political science that, within the domain of roll-call voting analysis, uses observed voting behavior to infer the underlying ideological positions or policy preferences of individual legislators based on statistical or computational models.

109

Publications

9.6K

Citations

161

Authors

108

Institutions

Publications per year

2017–2026

11

Authors

161

  1. JB
    Jeffrey B. Lewis

    University of California, Los Angeles, United States

    10 publications · 816 citations

    10

    h-index

  2. KT
    Keith T. Poole

    University of Georgia, United States

    8 publications · 499 citations

    8

    h-index

  3. JL
    James Lo

    University of California, Los Angeles, United States

    8 publications · 538 citations

    8

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  4. RC
    Royce Carroll

    University of Essex, United Kingdom

    7 publications · 441 citations

    7

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  5. HL
    Howard L. Rosenthal

    Carnegie Mellon University, United States

    5 publications · 276 citations

    5

    h-index

1–5 of 161

Venues

  1. Political Analysis

    13 publications · 689 citations

    13

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  2. Legislative Studies Quarterly

    11 publications · 962 citations

    11

    h-index

  3. American Political Science Review

    10 publications · 2.1K citations

    10

    h-index

  4. American Journal of Political Science

    AJPS · 10 publications · 1.3K citations

    10

    h-index

  5. SSRN Electronic Journal

    Repository · 9 publications · 217 citations

    9

    h-index

1–5