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Cited by 285

The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.

Accurately measuring willingness to pay for consumer goods: a meta-analysis of the hypothetical bias

Open access
Schmidt, Jonas, Bijmolt, Tammo H. A.·2020·Journal of the Academy of Marketing Science

Abstract

Consumers’ willingness to pay (WTP) is highly relevant to managers and academics, and the various direct and indirect methods used to measure it vary in their accuracy, defined as how closely the hypothetically measured WTP (HWTP) matches consumers’ real WTP (RWTP). The difference between HWTP and RWTP is the “hypothetical bias.” A prevalent assumption in marketing science is that indirect methods measure WTP more accurately than do direct methods. With a meta-analysis of 77 studies reported in 47 papers and resulting in 115 effect sizes, we test that assumption by assessing the hypothetical bias. The total sample consists of 24,347 included observations for HWTP and 20,656 for RWTP. Moving beyond extant meta-analyses in marketing, we introduce an effect size metric (i.e., response ratio) and a novel analysis method (i.e., multivariate mixed linear model) to analyze the stochastically dependent effect sizes. Our findings are relevant for academic researchers and managers. First, on average, the hypothetical bias is 21%, and this study provides a reference point for the expected magnitude of the hypothetical bias. Second, the deviation primarily depends on the use of a direct or indirect method for measuring HWTP. In contrast with conventional wisdom, indirect methods actually overestimate RWTP significantly stronger than direct methods. Third, the hypothetical bias is greater for higher valued products, specialty goods (cf. other product types), and within-subject designs (cf. between-subject designs), thus a stronger downward adjustment of HWTP values is necessary to reflect consumers’ RWTP.

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Metadata

Authors
Schmidt, J., & Bijmolt, T. H. A.
Venue
Journal of the Academy of Marketing Science
Published
2019-06-07
Volume
48
Issue
3
Pages
499-518
ISSN
  • 0092-0703 (ISSN-L)
  • 1552-7824
OpenAlex
W2947920467
Cited by
285
References
87
FWCI
9.22
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Accurately measuring willingness to pay for consumer goods: a meta-analysis of the hypothetical bias. https://app.cochat.ai/papers/10.1007/s11747-019-00666-6
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Schmidt, J., & Bijmolt, T. H. A. (2020). Accurately measuring willingness to pay for consumer goods: a meta-analysis of the hypothetical bias. Journal of the Academy of Marketing Science. https://doi.org/10.1007/s11747-019-00666-6

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