347
Views
2
CrossRef citations to date
0
Altmetric
Articles

Consumer price effects: Loss aversion in value vs. in demand

, ORCID Icon &
Pages 1306-1314 | Received 31 May 2018, Accepted 13 Apr 2019, Published online: 25 Jul 2019
 

Abstract

It has been established that consumers are often loss averse in the sense that perceived value decreases to a greater extent as a result of a price increase than what it increases as a result of an equal price decrease. We examine a previously scarcely studied question: how is the change in a product’s perceived value following a price change reflected in the product’s market demand? To complement the notion of loss averse (vs. gain seeking) price behaviour in perceived value, we provide a definition for loss averse (vs. gain seeking) price behaviour in demand. We discover that loss aversion in value does not necessarily lead to loss averse market demand, but can also lead to market demand being gain-seeking. We examine the boundary conditions for loss averse vs. gain seeking demand. Assuming that consumer preferences are given by a random utility model and the choice model is McFadden’s conditional logit, we develop a simple formula to check the character of the price behaviour. This provides novel insights by revealing an unexpected key determinant: the market share of the product under consideration. Finally, we consider the optimal price changes and what kind of consumer behaviour in demand they are related to.

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

1 One might assume normal distribution instead of Gumbel distribution. In this case only numerical analysis is possible instead of the main result in (2).

2 The interpretation of the levels of value gain δL and loss δH relates to the standard deviation of the Gumbel distributed random variable ϵi in the utility model (1). To obtain the conditional logit formula (2) from the utility function (1), the standard deviation of ϵi is σ=π/61.28. Hence, δL=.35 refers to a value loss, which is about 27% of the standard deviation 1.28.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 277.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.