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The analysis of survey data with framing effects

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  • Goldin, Jacob
  • Reck, Daniel

Abstract

A well-known difficulty in survey research is that respondents’ answers to questions can depend on arbitrary features of a survey’s design, such as the wording of questions or the ordering of answer choices. In this paper, we describe a novel set of tools for analyzing survey data characterized by such framing effects. We show that the conventional approach to analyzing data with framing effects—randomizing survey-takers across frames and pooling the responses—generally does not identify a useful parameter. In its place, we propose an alternative approach and provide conditions under which it identifies the responses that are unaffected by framing. We also present several results for shedding light on the population distribution of the individual characteristic the survey is designed to measure.

Suggested Citation

  • Goldin, Jacob & Reck, Daniel, 2018. "The analysis of survey data with framing effects," LSE Research Online Documents on Economics 88481, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:88481
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    File URL: http://eprints.lse.ac.uk/88481/
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    References listed on IDEAS

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    1. repec:cup:judgdm:v:4:y:2009:i:7:p:554-566 is not listed on IDEAS
    2. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    3. Angus Deaton, 2012. "The financial crisis and the well-being of Americans," Oxford Economic Papers, Oxford University Press, vol. 64(1), pages 1-26, January.
    4. Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
    5. Charles F. Manski, 1989. "Anatomy of the Selection Problem," Journal of Human Resources, University of Wisconsin Press, vol. 24(3), pages 343-360.
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    More about this item

    Keywords

    Estimation; Inference; Psychology; Survey methodology;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics

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