Cited by 440Consumer Market Behavior and PricingEconomics of Agriculture and Food MarketsMerger and Competition Analysis

New Empirical Generalizations on the Determinants of Price Elasticity

Bijmolt, Tammo H.A., Van Heerde, Harald J., Pieters, Rik G.M.·2005·Journal of Marketing Research

Abstract

The importance of pricing decisions for firms has fueled an extensive stream of research on price elasticities. In an influential meta-analytical study, Tellis (1988) summarized price elasticity research findings until 1986. However, empirical generalizations on price elasticity require modifications because of (1) changes in market characteristics (i.e., characteristics of brands, product categories, and economic conditions) and (2) changes in the research methodology used to assess price elasticities. Therefore, the authors present a meta-analysis of price elasticity with new empirical generalizations on its determinants. Across a set of 1851 price elasticities based on 81 studies, the average price elasticity is −2.62. A salient finding is that over the past four decades, sales elasticities have significantly increased in magnitude, whereas share and choice elasticities have remained fairly constant. The authors find that accommodating price endogeneity has a strong (magnitude-increasing) impact on price elasticities. A striking null result is that accounting for heterogeneity does not affect elasticities significantly. The authors also present an analysis that explains the difference between their findings and Tellis's findings, and they indicate which new price elasticity studies are most desirable.

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Crossref · 10.1509/jmkr.42.2.141.62296

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  • Across AI models, price elasticity estimates (-1.6 to -2.2) are broadly in the same range as brand/SKU-level price elasticity estimates for human shoppers.

    “Our price coefficients admit interpretation as price elasticity of demand for a product with small market share; across AI models our elasticity estimates (-1.6 to -2.2) are broadly in the same range as brand/SKU-level price elasticity estimates for human shoppers [4].”

    From What Is Your AI Agent Buying? Evaluation, Biases, Model Dependence, & Emerging Implications for Agentic E-Commerce (2025) · cites this paper as [4]

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Authors
Bijmolt, T. H. A., Van Heerde, H. J., & Pieters, R. G. M.
Affiliations
  • University of Groningen (NL)
  • Tilburg University, the Netherlands
  • Tilburg University (NL)
Corresponding author
  • Bijmolt, Tammo H.A.
  • Pieters, Rik G.M.
Venue
Journal of Marketing Research
Published
2005-05
Volume
42
Issue
2
Pages
141-156
ISSN
  • 0022-2437 (ISSN-L)
  • 1547-7193
OpenAlex
W2153205326
Cited by
440
References
2
Citations by year
2026: 29 · 2025: 22 · 2024: 19 · 2023: 24 · 2022: 21 · 2021: 31 · 2020: 26 · 2019: 19 · 2018: 20 · 2017: 24 · 2016: 20 · 2015: 23 · 2014: 22 · 2013: 20 · 2012: 23
FWCI
45.30
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Marketing Research (publishedVersion)
  • Research portal (Tilburg University) (publishedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
  • University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economics of Agriculture and Food Markets
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Merger and Competition Analysis
Keywords
price elasticity, price endogeneity, price setting

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