Literature DB >> 29056797

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

Arthur van Soest1, Michael Hurd2.   

Abstract

We analyze experimental survey data, with a random 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. Allowing for any type of selection into answering the open-ended or bracket questions, a nonparametric test is developed for errors in the answers to the first bracket question that are different from the usual reporting errors that will also affect open-ended answers. Two types of errors are considered explicitly: anchoring and yea-saying. Data are collected in the 1995 wave of the Assets and Health Dynamics survey, which is representative of the population in the United States that is 70 years and older. We reject the joint hypothesis of no anchoring and no yea-saying. Once yea-saying is taken into account, we find no evidence of anchoring at the entry point.

Keywords:  Acquiescence bias; Item nonresponse; Unfolding brackets

Year:  2012        PMID: 29056797      PMCID: PMC5646284          DOI: 10.1198/016214507000000266

Source DB:  PubMed          Journal:  J Am Stat Assoc        ISSN: 0162-1459            Impact factor:   5.033


  3 in total

1.  Yeasayers and naysayers: agreeing response set as a personality variable.

Authors:  A COUCH; K KENISTON
Journal:  J Abnorm Soc Psychol       Date:  1960-03

2.  Judgment under Uncertainty: Heuristics and Biases.

Authors:  A Tversky; D Kahneman
Journal:  Science       Date:  1974-09-27       Impact factor: 47.728

3.  Education and prejudice or education and response-set?

Authors:  M R Jackman
Journal:  Am Sociol Rev       Date:  1973-06
  3 in total
  2 in total

1.  Modeling motivated misreports to sensitive survey questions.

Authors:  Ulf Böckenholt
Journal:  Psychometrika       Date:  2013-12-03       Impact factor: 2.500

2.  Misreporting and econometric modelling of zeros in survey data on social bads: An application to cannabis consumption.

Authors:  William Greene; Mark N Harris; Preety Srivastava; Xueyan Zhao
Journal:  Health Econ       Date:  2017-08-04       Impact factor: 3.046

  2 in total

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