Skip to main content
Log in

The effects of loss aversion on deceptive advertising policies

  • Published:
Theory and Decision Aims and scope Submit manuscript

Abstract

We extend the deceptive advertising model of Piccolo et al. (RAND J Econ 46(3):611–624, 2015) to a framework in which consumers may be loss averse. There are two sellers, competing on prices and offering experience goods with some differences in quality. Prospective customers may be harmed by deceptive advertising: a marketing practice that can induce them to make bad purchases. We show that although deceptive advertising occurs depending on the degree of consumers’ loss aversion, this behavioral bias does not reflect on firms’ prices. Nevertheless, the presence of loss-averse consumers crucially changes the optimal deterrence rule that a Public Authority should adopt against false claims and misleading advertising. Unlike Piccolo et al. (2015), in this more general model, strong enforcements may improve the buyer welfare according to the degree of loss aversion.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Notes

  1. In Europe, for instance, Directive 2006/114/EC of the European Parliament and of the Council concerning misleading and comparative advertising defines misleading advertising as “any advertising which in any way, including its presentation, deceives or is likely to deceive the persons to whom it is addressed or whom it reaches and which, by reason of its deceptive nature, is likely to affect their economic behavior or which, for those reasons, injures or is likely to injure a competitor”.

  2. The AGCM investigates cases of misleading advertising and can impose fines (see the Italian Consumer Code). Instead, in the United Kingdom, misleading advertising is also a criminal offence, which can result in a sentence of imprisonment of up to 2 years (see the Consumer Protection from Unfair Trading Regulations).

  3. It is exemplificative the recent case of Italian wines, in which the AGCM sanctioned the famous food retailer Eataly, the wine distributor Fontanafredda and the association Vino Libero for having misled consumers about the actual presence of sulphites in their bottles of wine (see the case PS10308—Eataly—Vino Libero, n. 25980, 2016). This is a clear example of experience goods in which advertising about products’ quality can actually affect the consumers’ behavior.

  4. There is a fairly large evidence and laboratory experiments documenting the presence of such bias in the consumer behavior (see, e.g., Baillon forthcoming; Blinder et al. 1998; Carmon and Ariely 2000; Kahneman et al. 1991; Lien and Zheng 2015).

  5. See e.g., Köszegi and Rabin (2006 and 2007), Heidhues and Köszegi (2008, 2014), Karle and Peitz (2014), Karle and Schumacher (2017), Rosato (2016) and Zhou (2011).

  6. See Piccolo and Pignataro (2018) for a static and dynamic analysis of the effects of product experimentation, demonstrations and return policies on consumer surplus when prospective customers are loss averse. They assume firms do not know their products’ quality, ruling out all the signaling issues. Instead, this paper shows how firms can signal quality through prices and marketing claims.

  7. Since the degree of loss (and risk) aversion seems to vary across markets and individuals (see e.g., Dhar and Wertenbroch 2000; Dohmen et al. 2010; Johnson et al. 2006; Sayman and Onculer 2005), it seems reasonable to adopt different policy interventions according to consumers’ and markets’ characteristics.

  8. This logic echoes the results of Piccolo et al. (2015) who consider only the case in which consumers are rational. Introducing loss aversion changes the insights of the model and the policy implications in a competitive environment dramatically. Instead, under monopoly, the intuitions are the same. Hence, this kind of analysis is not reported in this paper. The proof of this result is available upon request.

  9. See, for example, Viscusi (1978), Grossman (1981), Grossman and Hart (1980), Jovanovic (1982), and Fishman and Hagerty (2003) among many others.

  10. See Grubb (2015) for a survey.

  11. This restriction lets us focus on the case in which marginal costs are the same and they are not correlated with qualities. It rules out cases in which production costs and quality are positively correlated (see, e.g., Akerlof 1970) or negatively correlated (see, e.g., the Amazon service of shipping which is less costly, with respect to its competitors, thanks to large fixed-cost investments). This allows us to isolate the relationship between loss aversion and deceptive advertising. Of course, if production costs and quality are positively correlated, deceptive advertising is more likely to occur (and viceversa), because it reduces the competitive advantage of the high-quality seller.

  12. Alternatively, following Piccolo and Pignataro (2018), the parameter \(\lambda \) can be interpreted as the degree of risk-aversion. However, the behavioral concept of loss aversion implies the formation of a reference point that can be influenced by sellers’ ads, marketing initiatives and prices.

  13. The insights of the model do not change if the Authority discovers a false claim with some probability lower than one. If so (risk neutral), deceptive firms would simply take into account the expected monetary sanction. The qualitative results still hold with a probabilistic sanction.

  14. This timing assumption simplifies the standard version of the reference-dependent preferences of Köszegi and Rabin (2006, 2007). The quality reference point is stochastic if both sellers advertise while, the price level is deterministic. Hence, consumers’ gain–loss utility crucially depends only on sellers’ claims.

  15. Notice that high-quality corresponds with high prices. Hence, the low-quality seller has most to gain from deviating from the equilibrium path. Our equilibrium refinements are, therefore, in accordance with the weakest version of Divinity introduced by Banks and Sobel (1987). Of course, if they satisfy Divinity, they also satisfy the Cho and Kreps (1987) Intuitive Criterion (see Piccolo et al. 2017).

  16. See Appendix for a rigorous proof.

  17. Clearly, there exist other pooling equilibria with \(p>f\). However, the reason why we focus on the most competitive equilibrium can be justified by a standard Bertrand-like argument and an additional equilibrium refinement introduced by Piccolo et al. (2015) (see assumption A3a). In brief, suppose that both firms advertise and deviate to a price larger than f: consumers can not distinguish which is the high-quality seller. This leads consumers to make their purchase decision only depending on price offers. This creates an incentive for firms to slightly undercut the rival’s price. Hence, any price \(p>f\) cannot be an equilibrium.

  18. See, e.g., Köszegi and Rabin (2006, 2007), Heidhues and Köszegi (2008), Karle and Schumacher (2017) and Rosato (2016).

  19. Multiple equilibria exist also for \(f=\varDelta \) and \(\varDelta \le \varDelta ^{*} ( \nu _{\text {l}},\eta ,\lambda ) \). The same reasoning applies to this corner solution.

  20. As argued by Piccolo et al. (2015), a Public Authority could foster the realization of a pooling equilibrium by imposing a price cap. However, this policy intervention, which is outside the scope of this project, could also be used trivially (price equal to the marginal cost) to maximize consumer welfare.

  21. It is worth noting that the degree of loss aversion \(\lambda \) does not affect consumers’ surplus. The reason is that consumers can distinguish which is the product with the highest quality, avoiding any loss with respect to their expectations.

  22. If consumers are not loss averse, then \(f^{*}\left( \varDelta ,\lambda =1\right) \equiv \frac{\varDelta }{2}\). This is in accordance with the findings of Piccolo et al. (2015), showing once again that this is a more general model that takes into account a consumers’ behavioral bias, with consequent effects on the optimal policies that should be adopted by a Public Authority.

  23. It is worth noting that the low-quality seller is subject to sanctions only if consumers buy from it.

References

  • Akerlof, G. A. (1970). The market of “lemons”: Quality uncertainty and the market mechanism. Quarterly Journal of Economics, 84(3), 488–500.

    Article  Google Scholar 

  • Baillon, A., Bleichrodt, H., & Spinu, V. Searching for the reference point. Management Science. (forthcoming).

  • Banks, J. S., & Sobel, J. (1987). Equilibrium selection in signaling games. Econometrica, 55(3), 647–661.

    Article  Google Scholar 

  • Barigozzi, F., Garella, P. G., & Peitz, M. (2009). With a little help from my enemy: Comparative advertising as a signal of quality. Journal of Economics and Management Strategy, 18(4), 1071–1094.

    Article  Google Scholar 

  • Blinder, A., Canetti, E. R. D., Lebow, D. E., & Rudd, J. B. (1998). Asking about prices: A new approach to understanding price stickiness. New York: Russel Stage Foundation.

    Google Scholar 

  • Carmon, Z., & Ariely, D. (2000). Focusing on the forgone: How value can appear so different to buyers and sellers. Journal of Consumer Research, 27(3), 360–370.

    Article  Google Scholar 

  • Cho, I.-K., & Kreps, D. M. (1987). Signaling games and stable equilibria. Quarterly Journal of Economics, 102(2), 179–221.

    Article  Google Scholar 

  • Corts, K. S. (2013). Prohibitions on false and unsubstantiated claims: Inducing the acquisition and revelation of information through competition policy. Journal of Law and Economics, 52(2), 453–486.

    Article  Google Scholar 

  • Corts, K. S. (2014a). The social value of information on product quality. Economics Letters, 122(2), 140–143.

    Article  Google Scholar 

  • Corts, K. S. (2014b). Finite optimal penalties for false advertising. Journal of Industrial Economics, 62(4), 661–681.

    Article  Google Scholar 

  • Daido, K., Morita, K., Murooka, T., & Ogawa, H. (2013). Task assignment under agent loss aversion. Economics Letters, 121(1), 35–38.

    Article  Google Scholar 

  • Dhar, R., & Wertenbroch, K. (2000). Consumer choice between hedonic and utilitarian goods. Journal of Marketing Research, 37(1), 60–71.

    Article  Google Scholar 

  • Dohmen, T., Falk, A., Huffman, D., & Sundle, U. (2010). Are risk aversion and impatience related to cognitive ability? American Economic Review, 100(3), 1238–1260.

    Article  Google Scholar 

  • Fishman, M. J., & Hagerty, K. M. (2003). Mandatory versus voluntary disclosure in markets with informed and uninformed customers. Journal of Law, Economics and Organization, 19(1), 45–63.

    Article  Google Scholar 

  • Fudenberg, D., & Tirole, J. (1991). Game theory. Cambridge: The MIT Press.

    Google Scholar 

  • Grossman, S. (1981). The informational role of warranties and private disclosure about product quality. Journal of Law and Economics, 24(3), 461–483.

    Article  Google Scholar 

  • Grossman, S., & Hart, O. D. (1980). Disclosure law and takeover bids. Journal of Finance, 35(2), 323–334.

    Article  Google Scholar 

  • Grubb, M. D. (2015). Selling to loss averse consumers: A survey. Working paper.

  • Hattori, K., & Higashida, K. (2012). Misleading advertising in a duopoly. Canadian Journal of Economics, 45(3), 1154–1187.

    Article  Google Scholar 

  • Heidhues, P., & Köszegi, B. (2008). Competition and price variation when consumers are loss averse. American Economic Review, 98(4), 1245–1268.

    Article  Google Scholar 

  • Heidhues, P., & Köszegi, B. (2014). Regular prices and sales. Theoretical Economics, 9(1), 217–251.

    Article  Google Scholar 

  • Janssen, M. C. W., & Roy, S. (2015). Competition, disclosure and signalling. Economic Journal, 125, 86–114.

    Article  Google Scholar 

  • Johnson, E. J., Gaechter, S., & Herrmann, A. (2006). Exploring the nature of loss aversion. IZA discussion paper (no. 2015).

  • Jovanovic, B. (1982). Truthful disclosure of information. Bell Journal of Economics, 13(1), 36–44.

    Article  Google Scholar 

  • Kahneman, D., Knetsch, J. L., & Thaler, R. H. (1991). Anomalies: The endowment effect, loss aversion and status quo bias. Journal of Economic Perspectives, 5(1), 193–206.

    Article  Google Scholar 

  • Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291.

    Article  Google Scholar 

  • Karle, H., & Peitz, M. (2014). Competition under consumer loss aversion. RAND Journal of Economics, 45(1), 1–31.

    Article  Google Scholar 

  • Karle, H., & Schumacher, H. (2017). Advertising and attachment: Exploiting loss aversion through pre-purchase information. RAND Journal of Economics, 48(4), 927–948.

    Article  Google Scholar 

  • Köszegi, B., & Rabin, M. (2006). A model of reference-dependent preferences. Quarterly Journal of Economics, 121(4), 1133–1165.

    Google Scholar 

  • Köszegi, B., & Rabin, M. (2007). Reference-dependent risk attitudes. American Economic Review, 97(4), 1047–1073.

    Article  Google Scholar 

  • Lazear, E. P. (1995). Bait and switch. Journal of Political Economy, 103(4), 813–830.

    Article  Google Scholar 

  • Lien, J. W., & Zheng, J. (2015). Deciding when to quit: Reference-dependence over slot machine outcomes. American Economic Review, 105(5), 366–370.

    Article  Google Scholar 

  • Miklós-Thal, J., & Zhang, J. (2013). (De)marketing to manage consumer quality inferences. Journal of Marketing Research, 50(1), 55–69.

    Article  Google Scholar 

  • Moraga-Gonzalez, J. L. (2000). Quality uncertainty and informative advertising. International Journal of Industrial Organization, 18(4), 615–640.

    Article  Google Scholar 

  • Office of Fair Trading. (2010). The impact of price frames on consumer decision making. Discussion paper (no. 1226).

  • Office of Fair Trading. (2011). Consumer behavioural biases in competition: A survey. Discussion paper (no. 1324).

  • Piccolo, S., & Pignataro, A. (2018). Consumer loss aversion, product experimentation and tacit collusion. International Journal of Industrial Organization, 56(1), 49–77.

    Article  Google Scholar 

  • Piccolo, S., Tedeschi, P., & Ursino, G. (2015). How limiting deceptive practices harms consumers. RAND Journal of Economics, 46(3), 611–624.

    Article  Google Scholar 

  • Piccolo, S., Tedeschi, P., & Ursino, G. (2017). Deceptive advertising with rational buyers. Management Science, 64(3), 1–20. (article in advance).

    Google Scholar 

  • Rosato, A. (2016). Selling substitute goods to loss-averse consumers: Limited availability, bargains and rip-offs. RAND Journal of Economics, 47(3), 709–733.

    Article  Google Scholar 

  • Sayman, S., & Onculer, A. (2005). Effects of study design characteristics on the WTA-WTP disparity: A meta analytical framework. Journal of Economic Psychology, 26(2), 289–312.

    Article  Google Scholar 

  • Villeneuve, B. (2005). Competition between insurers with superior information. European Economic Review, 49(2), 321–340.

    Article  Google Scholar 

  • Viscusi, W. K. (1978). A note on “lemons” markets with quality certification. Bell Journal of Economics, 9(1), 277–279.

    Article  Google Scholar 

  • Zhou, J. (2011). Reference dependence and market competition. Journal of Economics and Management Strategy, 20(4), 1073–1097.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Aldo Pignataro.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

For extremely helpful comments, I would like to thank Stefano Colombo, Gulen Karakoç-Palminteri, Salvatore Piccolo and Giovanni Ursino. I am indebted to the editor and two anonymous referees for insightful suggestions.

Appendix

Appendix

Proof of Proposition 1

In a separating equilibrium, firms make different offers on the base of their products’ quality. Accordingly, consumers can infer products’ quality and prices reflect the information transmitted. This implies that \(p_{\text {h}}\le \nu _{\text {h}}\), while \(p_{\text {l}}\le \nu _{\text {l}}\) with \(p_{\text {h}}\ne p_{\text {l}}\). The proof proceeds by establishing (i) the separating equilibrium prices; (ii) the region in which a separating equilibrium exists.

  1. (i)

    When products are vertically differentiated, price competition is relaxed and the difference in prices is given by the difference in products’ quality—i.e., \(p_{\text {h}}-p_{\text {l}}=\varDelta \). Following the standard undercutting logic, \(p_{\text {h}}=\varDelta \) and \(p_{\text {l}}=0\). In fact, if the high-quality seller posted a price \(p_{\text {h}}=\varDelta +\varepsilon \), with \(\varepsilon \in \left( 0,\nu _{\text {l}}\right) \) (the right-hand restriction comes from the consumers’ participation constraint, according to which \(p_{\text {h}}\le \nu _{\text {h}}\)), the low-quality seller would profitably set a price \(p_{\text {l}}=\omega \), with \(\omega \in \left( 0,\varepsilon \right) \), so that consumers would be more willing to buy the low-quality product because \(\nu _{\text {l}}-\omega >\nu _{\text {h}}-\left( \varDelta +\varepsilon \right) \). In the same vein, if the low-quality seller posted a price \(p_{\text {l}}=\varepsilon \), the high-quality seller would profitably set a price \(p_{\text {h}}=\varDelta +\omega \), so that consumers would be more willing to buy the high-quality product because \(\nu _{\text {h}}-\left( \varDelta +\omega \right) >\nu _{\text {l}}-\varepsilon \).

  2. (ii)

    An equilibrium exists if both firms have no incentive to deviate. Under assumption A3, the high-quality seller has no incentive to deviate because it would signal a low-quality product to consumers, therefore, lowering its profit. Instead, the low-quality seller may send a message \(m=m_{\text {h}}\), by claiming misleading ads, and it may set a deviation price \(p_{\text {d}}=\varDelta \). In this case, consumers are not able to distinguish the high-quality from the low-quality product. Indeed, their posterior beliefs about products’ quality are \(50-50\). This implies a consumers’ utility function equal to Eq. (2) in the text. As a consequence, the low-quality seller has no incentive to deviate because of two alternative reasons: (1) given the price \(p=\varDelta \), consumers are not willing to buy any product without knowing its quality; (2) deviating from the equilibrium path is not profitable. Case (1) occurs if consumers’ utility function (2) is lower than zero, which happens if and only if

    $$\begin{aligned} \varDelta >\varDelta ^{*} ( \nu _{\text {l}},\eta ,\lambda ) \equiv 2\nu _{\text {l}}\left( 1+\frac{\eta ( \lambda -1 ) }{2}\right) ^{-1}. \end{aligned}$$

    Differentiating \(\varDelta ^{*} ( \nu _{\text {l}},\eta ,\lambda ) \) with respect to \(\lambda \) yields

    $$\begin{aligned} \frac{\partial \varDelta ^{*} ( \nu _{\text {l}},\eta ,\lambda ) }{\partial \lambda }=-4\nu _{\text {l}}\eta \left( 2+\eta ( \lambda -1 ) \right) ^{-2}<0. \end{aligned}$$

    By contrast, if \(\varDelta \le \varDelta ^{*} ( \nu _{\text {l}},\eta ,\lambda ) \), consumers are still willing to buy one of the products on sale. Hence, a separating equilibrium exists if case (2) occurs, i.e., deviating from the equilibrium path entails non-positive expected profits, i.e.,

    $$\begin{aligned} \pi ^{d} ( p=\varDelta ,m=m_{\text {h}} ) =\frac{\varDelta -f}{2}\le 0, \end{aligned}$$

    Footnote 23 which happens if and only if \(f\ge \varDelta \). \(\square \)

Proof of Proposition 2

In a pooling equilibrium, firms make the same offer independently of their products’ quality. Let us consider a candidate equilibrium in which both sellers send a message \(m=m_{\text {h}}\) and set a price p. To prove the existence of a pooling equilibrium, we need to prove that consumers are willing to purchase at price p (consumers’ participation constraint), sellers make non-negative expected profits (sellers’ participation constraints) and they are willing to charge the equilibrium price p rather than a different price (sellers’ incentive compatibility constraint).

The consumers’ utility function is

$$\begin{aligned} u ( p,m=m_{\text {h}} ) ={\mathbb {E}}\left[ \nu \right] -\frac{\varDelta }{4}\eta ( \lambda -1 ) -p, \end{aligned}$$

which is larger than zero—i.e., it satisfies the consumers’ participation constraint—if and only if

$$\begin{aligned} p\le \nu _{\text {l}}+\frac{\varDelta }{2}\left( 1-\frac{\eta ( \lambda -1 ) }{2}\right) . \end{aligned}$$
(9)

Under assumption A2, consumers equally randomize between products when they cannot distinguish the high-quality and the low-quality product. Hence, the participation constraint for high- and low-quality sellers is

$$\begin{aligned} \pi _{\text {h}} ( p,m=m_{\text {h}} )&=\frac{p}{2}\ge 0,\\ \pi _{\text {l}} ( p,m=m_{\text {h}} )&=\frac{p-f}{2}\ge 0. \end{aligned}$$

While the high-quality seller has an expected profit which is non-negative for any price \(p\ge 0\), the equilibrium price p must be larger than monetary sanction f to satisfy the low-quality seller’s participation constraint, i.e.,

$$\begin{aligned} p\ge f. \end{aligned}$$
(10)

Under assumption A3, deviating from the equilibrium path gives a “bad” signal to consumers about product’s quality. The expected profit for any deviating firm is, therefore, independent of the actual value of \(\nu \). Since deviation profits are the same across sellers, the high-quality seller has the higher expected profit in equilibrium, the incentives that really matter are those of the low-quality seller. Assumption A3 implies also that the best deviation for the low-quality seller consists in no advertising and setting a price \(p_{\text {d}}<p\). In fact, to attract consumers, the low-quality seller must charge \(p_{\text {d}}\) such that \(\nu _{\text {l}}-p_{\text {d}}>\nu _{\text {h}}-p,\) which implies \(p_{\text {d}}<p-\varDelta \). The low-quality seller must offer a discount with respect to the equilibrium price by setting \(p_{\text {d}}\in \left[ 0,p-\varDelta \right) \). Clearly, it maximizes its profit if it slightly undercuts \(p-\varDelta \). With a slight abuse of notation, we approximate \(p_{\text {d}}=p-\varDelta \). The deviation profit is, therefore, equal to \(\pi ^{d}=p-\varDelta \), because it does not entail any monetary sanction for deceptive advertising. Hence, the low-quality seller has no incentive to deviate from the equilibrium path if such a deviation is not profitable, i.e.,

$$\begin{aligned} \frac{p-f}{2}\ge p-\varDelta , \end{aligned}$$

which implies the following restriction (the incentive compatibility constraint) on the equilibrium price

$$\begin{aligned} p\le 2\varDelta -f. \end{aligned}$$
(11)

Taking together all the restrictions on the equilibrium price—i.e., (9)–(11)—yields the following set of equilibrium prices:

$$\begin{aligned} p\in \left[ f;\min \left( \nu _{\text {l}}+\frac{\varDelta }{2}\left( 1-\frac{\eta \left( \lambda -1\right) }{2}\right) ;2\varDelta -f\right) \right] , \end{aligned}$$
(12)

where the most competitive equilibrium, in which sellers post the lowest possible price, is \(p=f\).

Finally, we show the region of parameters in which the set of equilibrium prices (12) exists. To exist, the monetary sanction f must be weakly lower than the upper bound of (12), i.e.,

$$\begin{aligned} f\le \min \left\{ \varDelta ;\nu _{\text {l}}+\frac{\varDelta }{2}\left( 1-\frac{\eta \left( \lambda -1\right) }{2}\right) \right\} . \end{aligned}$$

Notice that there exists a threshold \(\varDelta ^{*}\left( \nu _{\text {l}} ,\eta ,\lambda \right) \) in which

$$\begin{aligned} \varDelta =\nu _{\text {l}}+\frac{\varDelta }{2}\left( 1-\frac{\eta \left( \lambda -1\right) }{2}\right) \Rightarrow \varDelta ^{*} ( \nu _{\text {l}},\eta ,\lambda ) =2\nu _{\text {l}}\left( 1+\frac{\eta ( \lambda -1 ) }{2}\right) ^{-1}, \end{aligned}$$

such that \(\varDelta \le \nu _{\text {l}}+\frac{\varDelta }{2}\left( 1-\frac{\eta ( \lambda -1 ) }{2}\right) \) if \(\varDelta \le \varDelta ^{*} ( \nu _{\text {l}},\eta ,\lambda ) \) and \(\varDelta >\nu _{\text {l}}+\frac{\varDelta }{2}\left( 1-\frac{\eta ( \lambda -1 ) }{2}\right) \) otherwise. Hence, for \(\varDelta \le \varDelta ^{*} ( \nu _{\text {l}},\eta ,\lambda ) \), a pooling equilibrium exists if \(f\le \varDelta \). Instead, for \(\varDelta >\varDelta ^{*} ( \nu _{\text {l}},\eta ,\lambda ) \), a pooling equilibrium exists if \(f\le \nu _{\text {l}}+\frac{\varDelta }{2}\left( 1-\frac{\eta ( \lambda -1 ) }{2}\right) \). \(\square \)

Proof of Proposition 3

Given the equilibrium prices, the expected consumer surplus (ECS) is

$$\begin{aligned} \mathrm{ECS}( m_{i}=m_{\text {l}},m_{j}=m_{\text {h}} ) =\nu _{\text {h}}-\varDelta =\nu _{\text {l}} \end{aligned}$$

if deceptive advertising does not occur (separating equilibrium) and

$$\begin{aligned} \mathrm{ECS} ( m_{i,j}=m_{\text {h}} ) =\nu _{\text {l}}+\frac{\varDelta }{2}\left( 1-\frac{\eta ( \lambda -1 ) }{2}\right) -f \end{aligned}$$

otherwise (pooling equilibrium).

Notice that, in pooling equilibrium, ECS depends, among other things, on the monetary sanction for deceptive advertising f. ECS is larger in pooling rather than in separating equilibrium if and only if

$$\begin{aligned} \nu _{\text {l}}+\frac{\varDelta }{2}\left( 1-\frac{\eta ( \lambda -1 ) }{2}\right) -f>\nu _{\text {l}}, \end{aligned}$$
(13)

which implies

$$\begin{aligned} f<\frac{\varDelta }{2}\left( 1-\frac{\eta ( \lambda -1 ) }{2}\right) . \end{aligned}$$

In this region of parameters, a pooling equilibrium always exists. In fact, a pooling equilibrium exists if

However, for \(\varDelta >\varDelta ^{*} ( \nu _{\text {l}},\eta ,\lambda ) \) both pooling and separating equilibria may exist. Under assumption A4, it prevails the separating equilibrium, because it yields the largest ex ante profit (\(\frac{\varDelta }{2}\) in separating equilibrium versus \(\frac{f}{2}\) in pooling equilibrium). This implies that deceptive advertising does not occur if \(\varDelta >\varDelta ^{*} ( \nu _{\text {l}},\eta ,\lambda ) \), regardless of the monetary sanction f.

Instead, for \(\varDelta \le \varDelta ^{*}\left( \nu _{\text {l}},\eta ,\lambda \right) \), deceptive advertising occurs if \(f<\varDelta \) (\(f=\varDelta \) is excluded under assumption A4) and it is welfare increasing in the subset \(f<\frac{\varDelta }{2}\left( 1-\frac{\eta \left( \lambda -1\right) }{2}\right) \). Let us normalize \(\eta =1\), then the latter condition can be written also as a restriction on the degree of consumers’ loss aversion:

$$\begin{aligned} \lambda <\lambda ^{*} ( \varDelta ,f ) \equiv 3-\frac{4f}{\varDelta }. \end{aligned}$$

Now we show the optimal enforcement in this region of parameters. In pooling equilibrium, ECS is clearly decreasing in f. This implies that the optimal enforcement if \(\lambda <\lambda ^{*} ( \varDelta ,f ) \) coincides with \(f=0\).

By contrast, for \(\varDelta \le \varDelta ^{*} ( \nu _{\text {l}},\eta ,\lambda ) \) and \(\lambda \ge \lambda ^{*} ( \varDelta ,f ) \), consumers are better off without deceptive advertising. This implies that the monetary sanction must be set sufficiently high to discourage deceptive advertising, i.e., \(f\ge \varDelta \). Since ECS does not depend on f in separating equilibrium, it is maximized for any \(f\ge \varDelta \). \(\square \)

Proof of Proposition 4

In this proof, we characterize the region of parameters in which deceptive advertising occurs and minimizes ECS. It follows immediately from the proof of Proposition 3 that (i) deceptive advertising does not occur if \(\varDelta >\varDelta ^{*} ( \nu _{\text {l}},\eta ,\lambda ) \); (ii) for \(\varDelta \le \varDelta ^{*} ( \nu _{\text {l}},\eta ,\lambda ) \), ECS is decreasing in the monetary sanction f if \(f<\varDelta \), while it is constant and equal to \(\nu _{\text {l}}\) if \(f\ge \varDelta \). To show the region in which ECS is minimized, we need to compare ECS in pooling and separating equilibrium when \(\varDelta \le \varDelta ^{*}\left( \nu _{\text {l}},\eta ,\lambda \right) \). Deceptive advertising is welfare decreasing if and only if

$$\begin{aligned} \nu _{\text {l}}+\frac{\varDelta }{2}\left( 1-\frac{\eta ( \lambda -1) }{2}\right) -f<\nu _{\text {l}} \end{aligned}$$

which implies

$$\begin{aligned} f>\frac{\varDelta }{2}\left( 1-\frac{\eta ( \lambda -1 ) }{2}\right) . \end{aligned}$$

By normalizing \(\eta =1\), this condition can be written as follows:

$$\begin{aligned} f>f^{*} ( \varDelta ,\lambda ) \equiv \frac{\varDelta }{2}\left( 1-\frac{\lambda -1}{2}\right) , \end{aligned}$$

where \(f^{*} ( \varDelta ,\lambda ) \) is always lower than \(\varDelta \), which means that a pooling equilibrium exists when \(\varDelta \le \varDelta ^{*} ( \nu _{\text {l}},\eta ,\lambda ) \). Rearranging the latter inequality \(\varDelta \le \varDelta ^{*} ( \nu _{\text {l}},\eta ,\lambda ) \), it follows that a pooling equilibrium may exist if

$$\begin{aligned} \varDelta \le 2\nu _{\text {l}}\left( 1+\frac{\eta ( \lambda -1 ) }{2}\right) ^{-1} \Rightarrow \lambda \le 1+\frac{1}{\eta }\left( \frac{4\nu _{\text {l}} }{\varDelta }-2\right) . \end{aligned}$$

By normalizing \(\eta =1\), this condition can be written as follows:

$$\begin{aligned} \lambda \le \lambda ^{*}\left( \nu _{\text {l}},\varDelta \right) \equiv \frac{4\nu _{\text {l}} }{\varDelta }-1. \end{aligned}$$

Hence, if \(\lambda \le \lambda \left( \nu _{\text {l}},\varDelta \right) \) and \(f\in ( f^{*} ( \varDelta ,\lambda ) ,\varDelta ) \), deceptive advertising minimizes ECS. \(\square \)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pignataro, A. The effects of loss aversion on deceptive advertising policies. Theory Decis 87, 451–472 (2019). https://doi.org/10.1007/s11238-019-09721-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11238-019-09721-8

Keywords

Navigation