Scaling policy preferences from coded political texts

Lowe Will, Kenneth Benoit, Mikhaylov Slava, Michael Laver

    Research output: Contribution to journalArticlepeer-review


    Scholars estimating policy positions from political texts typically code words or sentences and then build left-right policy scales based on the relative frequencies of text units coded into different categories. Here we reexamine such scales and propose a theoretically and linguistically superior alternative based on the logarithm of oddsratios. We contrast this scale with the current approach of the Comparative Manifesto Project (CMP), showing that our proposed logit scale avoids widely acknowledged flaws in previous approaches. We validate the new scale using independent expert surveys. Using existing CMP data, we show how to estimate more distinct policy dimensions, for more years, than has been possible before, and make this dataset publicly available. Finally, we draw some conclusions about the future design of coding schemes for political texts.

    Original languageEnglish (US)
    Pages (from-to)123-155
    Number of pages33
    JournalLegislative Studies Quarterly
    Issue number1
    StatePublished - Feb 2011

    ASJC Scopus subject areas

    • Sociology and Political Science


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