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A Test for Anchoring and Yea-Saying in Experimental Consumption Data

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  • van Soest, A.H.O.

    (Tilburg University, School of Economics and Management)

  • Hurd, M.

Abstract

In the experimental module of the AHEAD 1995 data, the sample is randomly split into respondents who get an open-ended question on the amount of total family consumption - with follow-up unfolding brackets (of the form: is consumption $X or more?) for those who answer don't know' or refuse' - and respondents who are immediately directed to unfolding brackets. In both cases, the entry point of the unfolding bracket sequence is randomized. These data are used to develop a nonparametric test for whether people make mistakes in answering the first bracket question, allowing for any type of selection into answering the open-ended question or not. Two well-known types of mistakes are considered: anchoring and yea-saying (or acquiescence). While the literature provides ample evidence that the entry point in the first bracket question serves as an anchor for follow-up bracket questions, it is less clear whether the answers to the first bracket question are already affected by anchoring. We reject the joint hypothesis of no anchoring and no yea-saying at the entry point. Once yea-saying is taken into account
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

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  • van Soest, A.H.O. & Hurd, M., 2004. "A Test for Anchoring and Yea-Saying in Experimental Consumption Data," Other publications TiSEM 4062b26e-3ef5-4e0d-903c-e, Tilburg University, School of Economics and Management.
    • Handle: RePEc:tiu:tiutis:4062b26e-3ef5-4e0d-903c-e6a88446c1f6
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    2. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).
    3. Cobb-Clark, Deborah A. & Stillman, Steven, 2006. "The Retirement Expectations of Middle-Aged Individuals," IZA Discussion Papers 2449, Institute of Labor Economics (IZA).
    4. Thomas F. Crossley & Joachim K. Winter, 2014. "Asking Households about Expenditures: What Have We Learned?," NBER Chapters, in: Improving the Measurement of Consumer Expenditures, pages 23-50, National Bureau of Economic Research, Inc.
    5. Kleinjans, Kristin J. & van Soest, Arthur, 2010. "Nonresponse and Focal Point Answers to Subjective Probability Questions," IZA Discussion Papers 5272, Institute of Labor Economics (IZA).
    6. Martin Browning & Thomas F. Crossley & Joachim Winter, 2014. "The Measurement of Household Consumption Expenditures," Annual Review of Economics, Annual Reviews, vol. 6(1), pages 475-501, August.
    7. Sarah Brown & Mark N. Harris & Preety Srivastava & Karl Taylor, 2018. "Mental Health and Reporting Bias: Analysis of the GHQ - 12," Working Papers 2018013, The University of Sheffield, Department of Economics.
    8. Kristin J. Kleinjans & Jinkook Lee, 2006. "The link between individual expectations and savings: Do nursing home expectations matter?," Economics Working Papers 2006-05, Department of Economics and Business Economics, Aarhus University.
    9. Hjalmarsson, Erik & Österholm, Pär, 2021. "Anchoring in surveys of household expectations," Economics Letters, Elsevier, vol. 198(C).
    10. Ulf Böckenholt, 2014. "Modeling Motivated Misreports to Sensitive Survey Questions," Psychometrika, Springer;The Psychometric Society, vol. 79(3), pages 515-537, July.

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    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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