On inferring demand for health care in the presence of anchoring, acquiescence, and selection biases

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On inferring demand for health care in the pr ...
Jay Bhattacharya
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December 22, 2020 | History

On inferring demand for health care in the presence of anchoring, acquiescence, and selection biases

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"In the contingent valuation literature, both anchoring and acquiescence biases pose problems when using an iterative bidding game to infer willingness to pay. Anchoring bias occurs when the willingness to pay estimate is sensitive to the initially presented starting value. Acquiescence bias occurs when survey respondents exhibit a tendency to answer 'yes' to questions, regardless of their true preferences. More generally, whenever a survey format is used and not all of those contacted participate, selection bias raises concerns about the representativeness of the sample. In this paper, we estimate students' willingness to pay for student health care at Stanford University while accounting for all of these biases. As there is no cost sharing for students, we assess willingness to pay by having a random sample of students play an online iterative bidding game. Our main results are that (1) demand for student health care is elastic by conventional standards; (2) ignoring anchoring bias would lead to a substantially biased measure of the demand elasticity; (3) there is evidence for acquiescence bias in student answers to the opening question of the iterative bidding game and failure to address this leads to the biased conclusion that demand is inelastic; and (4) standard selection correction methods indicate no bias from selective non-response and newer bounding methods support this conclusion of elastic demand"--National Bureau of Economic Research web site.

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Language
English

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Edition Notes

Title from PDF file as viewed on 6/16/2008.

Includes bibliographical references.

Also available in print.

System requirements: Adobe Acrobat Reader.

Mode of access: World Wide Web.

Published in
Cambridge, MA
Series
NBER working paper series -- working paper 13865, Working paper series (National Bureau of Economic Research : Online) -- working paper no. 13865.

Classifications

Library of Congress
HB1

The Physical Object

Format
Electronic resource

ID Numbers

Open Library
OL17087347M
LCCN
2008610576

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Download catalog record: RDF / JSON
December 22, 2020 Edited by MARC Bot import existing book
December 10, 2009 Created by WorkBot add works page