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Ignoring the Non-ignorables?

Author

Listed:
  • Thomas König

    (German University of Administrative Sciences, Germany, tkoenig@dhv-speyer.de)

  • Daniel Finke

    (Research Institute for Public Administration, Germany, finke@foev-speyer.de)

  • Stephanie Daimer

    (Research Institute for Public Administration, Germany, daimer@foev-speyer.de)

Abstract

Missing or incomplete data on actors’ positions can cause significant problems in political analysis. Research on missing values suggests the use of multiple imputation methods rather than case deletion, but few studies have yet considered the non-ignorable problem - positions that are hidden for strategic purposes. We examine this problem and discuss the advantages and drawbacks of (i) multiple imputation as implemented in AMELIA; (ii) a computationally easy but, in the context of spatial modelling, straightforward measure of indifference and (iii) a conditional averaging algorithm, LDM, which seeks to reasonably fix actors’ positions in the policy space pre- and post-imputation. The analysis suggests that actors biased by the status quo strategically hide their more supportive positions. Although none of the existing methods - which produce quite different results - is perfectly suited for imputing hidden positions, LDM has the highest hit rate for the conjectured more supportive position.

Suggested Citation

  • Thomas König & Daniel Finke & Stephanie Daimer, 2005. "Ignoring the Non-ignorables?," European Union Politics, , vol. 6(3), pages 269-290, September.
    • Handle: RePEc:sae:eeupol:v:6:y:2005:i:3:p:269-290
    DOI: 10.1177/1465116505054833
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    References listed on IDEAS

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    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. 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.
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    Cited by:

    1. Stocké, Volker & Stark, Tobias, 2005. "Stichprobenverzerrung durch Item-Nonresponse in der international vergleichenden Politikwissenschaft," Papers 05-43, Sonderforschungsbreich 504.

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