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Themes and Topics in Parliamentary Oversight Hearings: A New Direction in Textual Data Analysis

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  • Sanders James
  • Lisi Giulio
  • Schonhardt-Bailey Cheryl

    (London School of Economics, Department of Government, London, United Kingdom of Great Britain and Northern Ireland)

Abstract

This paper contributes to the growing empirical work on deliberation in legislatures by proposing a novel approach to analysing parliamentary hearings using both thematic and topic modelling textual analysis software. We explore variations in deliberative quality across economic policy type (fiscal policy, monetary policy and financial stability) and across parliamentary chambers (Commons and Lords) in UK select committee oversight hearings during the 2010–2015 Parliament. Our overall focus is not only to suggest a multi-method approach to the textual analysis of parliamentary data, but also to explore more substantive aspects of parliamentary oversight, such as: (1) the extent to which oversight varies between unelected and elected policy makers; and (2) whether parliamentarians conduct oversight more forcefully or more along partisan lines when they are challenging fellow politicians as opposed to central bank officials. Our findings suggest consistent differences in deliberative styles between types of hearings (fiscal, monetary, financial stability) and between chambers (Commons, Lords).

Suggested Citation

  • Sanders James & Lisi Giulio & Schonhardt-Bailey Cheryl, 2017. "Themes and Topics in Parliamentary Oversight Hearings: A New Direction in Textual Data Analysis," Statistics, Politics and Policy, De Gruyter, vol. 8(2), pages 153-194, December.
  • Handle: RePEc:bpj:statpp:v:8:y:2017:i:2:p:153-194:n:4
    DOI: 10.1515/spp-2017-0012
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    References listed on IDEAS

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    1. André Bächtiger & Dominik Hangartner, 2010. "When Deliberative Theory Meets Empirical Political Science: Theoretical and Methodological Challenges in Political Deliberation," Political Studies, Political Studies Association, vol. 58, pages 609-629, October.
    2. Grimmer, Justin & Stewart, Brandon M., 2013. "Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts," Political Analysis, Cambridge University Press, vol. 21(3), pages 267-297, July.
    3. Grimmer, Justin, 2010. "A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases," Political Analysis, Cambridge University Press, vol. 18(1), pages 1-35, January.
    4. Bawn, Kathleen, 1995. "Political Control Versus Expertise: Congressional Choices about Administrative Procedures," American Political Science Review, Cambridge University Press, vol. 89(1), pages 62-73, March.
    5. Laver, Michael & Benoit, Kenneth & Garry, John, 2003. "Extracting Policy Positions from Political Texts Using Words as Data," American Political Science Review, Cambridge University Press, vol. 97(2), pages 311-331, May.
    6. André Bächtiger & Dominik Hangartner, 2010. "When Deliberative Theory Meets Empirical Political Science: Theoretical and Methodological Challenges in Political Deliberation," Political Studies, Political Studies Association, vol. 58(4), pages 609-629, October.
    7. Grün, Bettina & Hornik, Kurt, 2011. "topicmodels: An R Package for Fitting Topic Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i13).
    8. Barabas, Jason, 2004. "How Deliberation Affects Policy Opinions," American Political Science Review, Cambridge University Press, vol. 98(4), pages 687-701, November.
    9. Cheryl Schonhardt-Bailey, 2006. "From the Corn Laws to Free Trade: Interests, Ideas, and Institutions in Historical Perspective," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262195437, December.
    10. Kevin M. Quinn & Burt L. Monroe & Michael Colaresi & Michael H. Crespin & Dragomir R. Radev, 2010. "How to Analyze Political Attention with Minimal Assumptions and Costs," American Journal of Political Science, John Wiley & Sons, vol. 54(1), pages 209-228, January.
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