Anchoring Bias and Covariate Nonresponse
AbstractNon-random item nonreponse makes identification if parameters problematic. Such nonresponse can occur with respect to both dependent and conditioning variables. A method often used to reduce nonresponse is that of adding unfolding brackets as follow up to open-ended questions. With these, initial non-respondents can provide additional (incomplete) information on the missing values. However, recent studies suggest that responses to unfolding brackets can lead to a type of bias as a result of the Achoring Effect. In this paper, bounding intervals of the tzpe as presented in Horowitz and Manski (1998) are extended to incorporate information provided by bracket respondents while allowing for different types of anchoring, and, therefore, accounting for significant nonresponse in the conditioning set. The theoretical framework is illustrated with empirical evidence based on the 1996 wave of the Health and Retirement Study (HRS, 1996).
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Bibliographic InfoPaper provided by Department of Economics, University of St. Gallen in its series University of St. Gallen Department of Economics working paper series 2003 with number 2003-19.
Length: 48 pages
Date of creation: Dec 2003
Date of revision:
Unfolding bracket design; anchoring effects; survey nonresponse; bounding intervals.;
Find related papers by JEL classification:
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This paper has been announced in the following NEP Reports:
- NEP-ALL-2004-01-12 (All new papers)
- NEP-ECM-2004-01-25 (Econometrics)
- NEP-MIC-2004-01-12 (Microeconomics)
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- Reza C. Daniels, 2012. "Questionnaire Design and Response Propensities for Employee Income Micro Data," SALDRU Working Papers 89, Southern Africa Labour and Development Research Unit, University of Cape Town.
- Reza C. Daniels, 2012. "A Framework for Investigating Micro Data Quality, with Application to South African Labour Market Household Surveys," SALDRU Working Papers 90, Southern Africa Labour and Development Research Unit, University of Cape Town.
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