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Modeling Loss Aversion and Reference Dependence Effects on Brand Choice
Open accessAbstract
Based upon a recently developed multiattribute generalization of prospect theory's value function (Tversky and Kahneman 1991), we argue that consumer choice is influenced by the position of brands relative to multiattribute reference points, and that consumers weigh losses from a reference point more than equivalent sized gains (loss aversion). We sketch implications of this model for understanding brand choice. We develop a multinomial logit formulation of a reference-dependent choice model, calibrating it using scanner data. In addition to providing better fit in both estimation and forecast periods than a standard multinomial logit model, the model's coefficients demonstrate significant loss aversion, as hypothesized. We also discuss the implications of a reference-dependent view of consumer choice for modeling brand choice, demonstrate that loss aversion can account for asymmetric responses to changes in product characteristics, and examine other implications for competitive strategy.
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“This work has been supported by analyses of real world data that show similar behavior in, among other situations, stock markets (26–28), the pricing and purchasing of consumables (29, 30) and condominiums (31), and the choice of work hours by cabdrivers (32).”
From Thinking like a trader selectively reduces individuals' loss aversion (2009) · cites this paper as [30]
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“Yet extensive literature in marketing, economics, and psychology shows that consumers anchor their purchase decisions on past purchases (e.g., Hardie, Johnson, and Fader 1993; Kalyanaram and Winer 1995; Meyer and Johnson 1995; Neumann and Böeckenholt 2014).”
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Yan, X., Zhao, W., & Yu, Y. (2022) · European Journal of Operational Research · doi:10.1016/j.ejor.2022.01.032 · Cited by 43
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“Furthermore, empirical studies illustrate that consumers are more sensitive to price increases than to price decreases (Hardie, Johnson, and Fader 1993; Kalyanaram and Winer 1995; Meyer and Johnson 1995; Bell and Lattin 2000).”
BackgroundA two‐period pricing model with intertemporal and horizontal reference price effects
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“Among other things, we investigatewhether previously established findings hold when consumer and competitive dynamics are taken into account.”
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“Such lose-averse decisions can be observed across a variety of different problem domains: for example, when stock investors trade (displaying a reluctance to realize losses; Odean, 1998), homeowners sell their homes (unwilling to sell below buying price; Genesove and Mayer, 2001), and shoppers evaluate prices (asymmet…”
BackgroundReference quality-based competitive market structure for innovation driven markets
Kim, W., & Kim, M. (2015) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2014.10.003 · Cited by 38
Euro or “Teuro”?: The Euro-induced Perceived Inflation in GermanyPreprint
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Reference-Dependent Preferences: Evidence from Marathon Runners
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Differentiate or Imitate? The Role of Context-Dependent Preferences
Narasimhan, C., & Turut, Ö. (2013) · Marketing Science · doi:10.1287/mksc.2013.0776 · Cited by 31
“…strategies (Amaldoss and Jain (2005b); Amaldoss and Jain (2005a); Amaldoss and Jain (2008b); Amaldoss and Jain (2008a); Chen et al. (2010); Cui et al. (2007); Feinberg et al. (2002); Hardie et al. (1993); Ho and Zhang (2008); Jain (2009); Lim and Ho (2007); Orhun (2009); Syam et al. (2008); etc.).”
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Dawes, J. G. (2012) · Journal of Retailing · doi:10.1016/j.jretai.2012.01.004 · Cited by 35
Probabilistic versus random-utility models of state dependence: an empirical comparison
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BackgroundAn insight into pay-what-you-want pricing
Roy, R. (2015) · Marketing Intelligence & Planning · doi:10.1108/mip-06-2014-0118 · Cited by 34
“For example, it can be based on prices from previous periods (Winer, 1986); weighted or smoothed average of past prices (Greenleaf, 1995); price of last brand purchased (Hardie et al., 1993); or prices normally paid for a product or service (Lowengart, 2002).”
BackgroundL'orientation régulatrice: un concept prometteur en marketing
Boesen-Mariani, S., Gomez, P., & Gavard-Perret, M.-L. (2010) · Recherche et Applications en Marketing (French Edition) · doi:10.1177/076737011002500104 · Cited by 43
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Quantity-Discount-Dependent Consumer Preferences and Competitive Nonlinear Pricing
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The Mission of Marketing Science
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“There exist a few studies providing evidence on loss aversion toward consumption changes: Hardie et al. (1993) propose evidence based on consumers’ product selection, Bowman et al. (1999) and Pasini (2009) consider asymmetric sensitivities of consumption to income changes as evidence, Fisher and…”
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“Hardie, Johnson, and Fader (1993) argue that market price is not needed because customers draw psychological meaning by comparing P to ERP.”
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“…sciences, scholars have invoked loss aversion to explain behavioral patterns that appear to contradict traditional economic theories (Kahneman & Tversky, 1979; Thaler & Johnson, 1990; Hardie et al., 1993; Haigh & List, 2005; Jarrow & Zhao, 2006; Looney & Hardin, 2009; Chrisman & Patel, 2012).”
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“Consistent with most extant studies, we operationalize ERP in (7) as the current shelf price of the previously chosen brand; this ERP is household-specific but common for all brands, is behaviorally plausible and has been shown to perform well empirically (Hardie et al. 1993).”
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Metadata
- Authors
- Hardie, B. G. S., Johnson, E. J., & Fader, P. S.
- Affiliations
- London Business School (GB)
- Columbia University (US)
- University of Pennsylvania (US)
- Venue
- Marketing Science
- Published
- 1993-11
- Volume
- 12
- Issue
- 4
- Pages
- 378-394
- ISSN
- 0732-2399 (ISSN-L)
- 1526-548X
- OpenAlex
- W2074270109
- Cited by
- 903
- References
- 0
- Citations by year
- 2026: 22 · 2025: 25 · 2024: 29 · 2023: 23 · 2022: 41 · 2021: 35 · 2020: 31 · 2019: 38 · 2018: 28 · 2017: 35 · 2016: 41 · 2015: 50 · 2014: 37 · 2013: 44 · 2012: 32
- FWCI
- 38.60
- Type
- journal article
- Language
- en
- Open access
- green
- papers.ssrn.com
- Locations
- Marketing Science (publishedVersion)
- SSRN Electronic Journal (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Environmental Valuation
- Keywords
- loss aversion, reference dependence, brand choice, prospect theory, multinomial logistic regression, scanner data, asymmetric price response, competitive strategy, consumer choice modeling
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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