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Anchoring and Acquiescence Bias in Measuring Assets in Household Surveys

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Author Info
Hurd, Michael D

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Abstract

Cognitive psychology has identified and studied extensively a number of cognitive anomalies that may be important for the assessment of the economic status of individuals and households. In particular the use of brackets to elicit information about income and assets in surveys of households can interact with acquiescence bias and anchoring to cause bias in the estimates of the distributions of income and assets. This paper uses data from the Health and Retirement Study and the Asset and Health Dynamics Study to find that, as predicted by psychology, bracketing can produce bias in population estimates of assets. Copyright 1999 by Kluwer Academic Publishers

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Article provided by Springer in its journal Journal of Risk and Uncertainty.

Volume (Year): 19 (1999)
Issue (Month): 1-3 (December)
Pages: 111-36
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Handle: RePEc:kap:jrisku:v:19:y:1999:i:1-3:p:111-36

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  1. David Comerford & Liam Delaney & Colm Harmon, 2009. "Experimental Tests of Survey Responses to Expenditure Questions," Working Papers 200925, Geary Institute, University College Dublin. [Downloadable!]
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  2. Arthur van Soest & Michael Hurd, 2004. "Models for Anchoring and Acquiescence Bias in Consumption Data," Working Papers 146, RAND Corporation Publications Department. [Downloadable!]
    Other versions:
  3. Monika BÜTLER, 2003. "Mandated Annuities in Switzerland," Cahiers de Recherches Economiques du Département d'Econométrie et d'Economie politique (DEEP) 03.08, Université de Lausanne, Faculté des HEC, DEEP. [Downloadable!]
  4. Bütler, Monika & Teppa, Federica, 2005. "Should You Take a Lump-Sum or Annuitize? Results from Swiss Pension Funds," CEPR Discussion Papers 5316, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
    Other versions:
  5. Winter, Joachim, 0000. "Bracketing effects in categorized survey questions and the measurement of economic quantities," Sonderforschungsbereich 504 Publications 02-35, Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim. [Downloadable!]
  6. David Aadland & Arthur Caplan & Owen Phillips, 2007. "A Bayesian examination of information and uncertainty in contingent valuation," Journal of Risk and Uncertainty, Springer, vol. 35(2), pages 149-178, October. [Downloadable!] (restricted)
  7. Thomas Juster & Honggao Cao & Mick Couper & Daniel Hill & Michael Hurd & Joseph Lupton & Michael Perry & James Smith, 2007. "Enhancing the Quality of Data on the Measurement of Income and Wealth," Working Papers wp151, University of Michigan, Michigan Retirement Research Center. [Downloadable!]
  8. Arthur van Soest & Michael Hurd, 2003. "A Test for Anchoring and Yea-Saying in Experimental Consumption Data," Working Papers 147, RAND Corporation Publications Department. [Downloadable!]
    Other versions:
  9. Monika Bütler, 2002. "Flexibility and Redistribution in Old Age Insurance," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 138(IV), pages 427-437, December. [Downloadable!]
  10. Jeffrey Grogger, 2005. "Welfare Reform, Returns to Experience, and Wages: Using Reservation Wages to Account for Sample Selection Bias," NBER Working Papers 11621, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  11. F. Thomas Juster & Honggao Cao & Michael Perry & Mick Cooper, 2006. "The Effect of Unfolding Brackets on the Quality of Wealth Data in the HRS," Working Papers wp113, University of Michigan, Michigan Retirement Research Center. [Downloadable!]
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