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SSRN Electronic Journal
Article . 2003 . Peer-reviewed
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Anchoring Bias and Covariate Nonresponse

Authors: R. Vazquez-Alvarez; Christoph Boner;

Anchoring Bias and Covariate Nonresponse

Abstract

Non-random item nonresponse makes identification of parameters problematic. Such nonresponse can occur with respect to both depe ndent 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 value. However, recent studies suggest that responses to unfolding brackets can lead to a type of bias as a result of ‘the anchor ing effect’. In this paper, bounding intervals of the type 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 cond itioning set. The theoretical framework is illustrated with empirical evidence based on the 1996 wave of the Health and Retirement Study.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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