1 Introduction

In markets where consumers are ex-ante unaware of product qualities, we examine rival firms’ incentives to signal quality through prices. Consumers form beliefs about product qualities after they observe prices and can learn a firm’s product quality before purchase if they incur a search cost. For example, consumers can physically visit a firm’s store and learn the quality of the product. The search cost involves the time spent and the effort exerted by a consumer to ‘visit’ another store in order to assess the quality of the product for sale in that store. Alternatively, a consumer may be shopping online and the search cost is the time and effort associated with ordering online a second product from a different online retailer if the first product is of lower than expected quality. For some products a careful inspection may be enough to assess quality, e.g., clothes, furniture. Many other products offer free trials to entice consumers to make a purchase. Free trials are costly for consumers, in terms of opportunity cost, but can facilitate quality discovery before a final purchase is made.Footnote 1

Our main departure from the literature is the assumption that consumers can assess a firm’s product quality before purchase, provided they incur a search cost. Most of the existing literature has assumed that consumers may discover the quality of the product only after purchase (see Sect. 2 for a literature review). This assumption is certainly appropriate for credence or experience goods, for example, but there are many markets where quality can be evaluated before purchase. Our paper fills this gap.

We develop a model of horizontal and vertical differentiation with two rival firms. The product quality of each firm is a random variable whose realization, independent across firms, can be either high or low. Hence, both firms can be of low quality, or of high quality, or one firm of high and the other of low quality. The product quality realizations are common knowledge between firms, but consumers are only aware of the distribution. Consumers observe prices, form beliefs about the product qualities and decide which firm to ‘visit’ first. After a visit, a consumer discovers the firm’s product quality, updates his beliefs about the product quality of the rival firm and decides whether to visit the other firm or not. A visit to the other firm entails a fixed (search) cost.

Our model best fits markets where product innovations are frequent, not deterministic, and so it is not easy for a firm to communicate to consumers its realized product quality at any given time. Moreover, prices are easily observable by consumers and quality can be assessed before consumers make a final purchase if they exert a reasonable effort.Footnote 2

We show that firms can signal product quality with the complete information prices. Hence, no price distortions arise in a separating equilibrium. This observation is a well–known implication of the unprejudiced beliefs refinement (see (Bagwell and Ramey 1991)). Given the multi-sender nature of the game in an oligopoly market, consumers anchor their beliefs about product qualities on the price of the non-deviating firm. Hence, it becomes much more difficult to sustain an equilibrium that does not involve the complete information prices. Our main focus in this paper is on the conditions that guarantee the existence of a separating and a pooling equilibrium, in pure strategies, and on how an equilibrium is affected by consumer search costs. Existence is more likely when: (i) the difference between high and low quality is higher, (ii) the market is more competitive (lower transportation cost), (iii) the search cost is lower and (iv) the probability of high quality is higher.

We also show that a unique pooling equilibrium exists, provided that search cost is high, relative to the quality differential. The prices in the pooling equilibrium are the expected prices in the separating equilibrium. A lower search cost moves the market equilibrium from pooling to separating and induces a mean-preserving spread of the equilibrium prices. It also enhances efficiency because aggregate surplus is higher in a separating than in a pooling equilibrium.

The rest of the paper is organized as follows. In Sect. 2 we offer a literature review. The model is introduced in Sect. 3 and in Sect. 4 we offer some preliminaries. The separating equilibrium is examined in Sect. 5 and the pooling equilibrium in Sect. 6. In Sect. 7, we examine how the search cost affects price dispersion and welfare. We conclude in Sect. 8. All proofs are relegated to the Appendix.

2 Literature review

Signaling product quality or cost through prices is an important issue in industrial organization. The fundamental question is what kind of prices can credibly signal that a firm has a high quality product or a low cost. The first classification is whether there is a single signal sender (monopoly) of multiple possible types or many signal senders (oligopoly), each of multiple possible types.Footnote 3

In an oligopoly market, separating prices may or may not be distorted, if distorted they can be upward or downward distorted, depending on the information firms have about the types of the rival firms, on the beliefs refinement and whether advertising is used to signal quality or not. A difference with monopoly is that the receivers of the signal can utilize the signals of the non-deviating players to draw credible inferences.

Wolinsky (1983) considers a model where competing firms can signal quality through prices, and consumers can observe the quality of a firm before purchase at a cost. Unlike our findings, he shows that, in a separating equilibrium, firms distort their prices upwards to signal quality. He assumes that each firm can observe only its own quality, whereas we consider common private information, and low search costs, whereas our search cost ranges from zero to very high values. Finally, he does not search for a pooling equilibrium.

Bagwell and Ramey (1991) introduce a limit pricing model, with common private information among (incumbent) firms, and the unprejudiced beliefs refinement and find that only non-distorted separating equilibria exist. Further, under additional assumptions, the intuitive criterion of Cho and Kreps (1987) eliminates all equilibria with pooling. Schultz (1999) considers a variation of Bagwell and Ramey (1991), where one incumbent prefers the entrant to stay out of the market, while its competitor prefers entry, and, again, separating equilibrium prices are not distorted. Bester and Demuth (2015) in a common private information setting, with horizontal and vertical differentiation, assumes that some consumers are informed about an entrant’s product quality (the rest learn the quality after purchase) and shows that a separating equilibrium exists when the fraction of informed consumers is high. The equilibrium must entail the complete information prices, a result of unprejudiced beliefs. They do not analyze pooling equilibria. In our paper, private information is common knowledge among firms and we use the unprejudiced beliefs refinement. As in the above papers, in our model a separating equilibrium, if it exists, must entail the complete information prices. But also a unique pooling equilibrium exists.

Harrington (1987) and Orzach and Tauman (1996) consider a homogeneous good market with multiple incumbents and one (or more) potential entrant. In the first paper it is the high-cost firm who tries to prove its “weakness”, while in the second, the signal sent by the low cost contestants, though costly, is also quite rewarding: it increases their payoff level. The difference with Bagwell and Ramey (1991) is that in Harrington (1987) and Orzach and Tauman (1996) the entrant does not observe individual behavior. In our model individual behavior is observable, since products are differentiated and consumers observe prices, which results in an undistorted separating equilibrium.

Hertzendorf and Overgaard (2001) study a duopoly model of vertical differentiation where consumers learn a firm’s product quality after purchase, with perfectly negative correlated product qualities and common private information among firms. Advertising can also be used to signal product quality. They use a restricted unprejudiced beliefs refinement and show that a distorted (upward or downward) separating equilibrium exists. Complete information prices cannot be an equilibrium. In a similar to the Hertzendorf and Overgaard (2001) model, Hertzendorf and Overgaard (2000), show that fully revealing separating equilibria satisfying the unprejudiced beliefs refinement do not exist. Yehezkel (2008) extends the Hertzendorf and Overgaard (2001) model by allowing some consumers to be informed. When the fraction of informed consumers exceeds a threshold the separating equilibrium entails the complete information prices. Pooling prices are distorted upwards. Mirman and Santugini (2019) analyze a monopoly model with a competitive fringe and a fraction of uninformed buyers about the monopolist’s product quality. The fringe is necessary for the existence of a unique, fully revealing equilibrium. In our model a low search cost is needed for the existence of a separating equilibrium. A low search cost increases the lost market share of a firm that tries to wrongly signal high quality, much like a high fraction of informed consumers does in Yehezkel (2008) and Bester and Demuth (2015) or a sizeable competitive fringe in Mirman and Santugini (2019). Moreover, our pooling prices are not distorted, they are actually the expectation of the separating equilibrium prices.

In Fluet and Garella (2002), consumers cannot observe quality before purchase and the ex ante distribution of the firms’ qualities is such that either both firms offer low quality or one firm offers low and the other high quality. Private information is common knowledge among firms. The authors avoid the use of selection criteria and find multiple separating and pooling equilibria. For small quality differences separation can only be achieved with a combination of upward distorted prices and advertisement.

Daughety and Reinganum (2008) study a model of horizontal and vertical differentiation where quality is each firm’s private information and consumers discover product quality after purchase. Firms signal high quality via higher prices, so a separating equilibrium entails a distortion. Janssen and Roy (2010), in a duopoly model where each firm’s product quality can be high or low and information about it is private, show that even when there is no horizontal differentiation, there exist symmetric fully revealing equilibria, where the low quality firm randomizes over an interval of prices, while the high quality firm sets a high price. Both types of firms may exhibit considerable market power.

In sum, all relevant papers assume that consumers learn the product quality after purchase, except for Yehezkel (2008) and Bester and Demuth (2015) who assume that a fraction of consumers is informed about product quality even before observing any prices. Our assumption about product quality discovery before purchase if a cost is incurred makes the model, the markets to which our model applies, the comparative statics, the empirical and policy/managerial implications different (see our discussion in Sect. 8).

3 The model

There is a continuum of consumers uniformly distributed on the [0, 1] Hotelling line and two firms, \(i=a,b\), located at the two endpoints of the interval (a at 0 and b at 1). We denote the rival firm by j. Consumers incur a linear transportation cost and buy at most one unit of the good from one firm. The maximum each consumer is willing to pay depends on the quality of the product and is denoted by \(V_a\) and \(V_b\). Hence, the indirect utility of the consumer located at x is \(V_i-td_x-p_i\), where \(t>0\) is the per-unit of distance transportation cost, \(p_i\) is the price and \(d_x\) is consumer x’s linear distance to the firm. We assume consumers know the products’ prices, but are unaware of firms’ product qualities. Following the literature, we assume that qualities are random variables whose realizations are only observed by the firms. Consumers form expectations about a firm’s product quality upon observing the products’ prices and they learn a firm’s product quality once they visit a firm (store) and inspect the product. As is commonly assumed in consumer search models, and without loss of generality, a first visit to a firm’s store is costless, but a visit to the second firm entails a cost \(\kappa >0\). The horizontal locations of the two firms on the Hotelling line are common knowledge. We assume that \(V_a\), \(V_b\) are independently drawn from a two point distribution, \(V_H\) and \(V_L\), where \(\Pr (V_i=V_H)=q\). We assume that \(V_L\) is sufficiently high to ensure a covered market and unit costs are the same across qualities, which are normalized to zero. We make the following assumption regarding the model parameters.

Assumption 1

\(V_H-V_L<3t\).

The assumption ensures that in a separating equilibrium, when product qualities are asymmetric, both firms have strictly positive market shares. The timing of the game is as follows:

  1. 1.

    Nature draws, independently, the product qualities of both firms. Consumers do not observe the quality realizations, but these become common knowledge to the firms.

  2. 2.

    Firms choose their prices and consumers observe them.

  3. 3.

    Each consumer visits costlessly one store and decides whether to make a purchase or to incur search cost \(\kappa \) and visit the second store. If a consumer visits the second store, he can costlessly return and buy from the first. We assume that a consumer cannot make a purchase without incurring the search cost, unless he buys from the first store he visits.

We will search for a perfect Bayesian Nash equilibrium in pure strategies. In particular, we are interested in each firm’s pricing decision and whether prices can serve as signals of product qualities.

4 Preliminaries

It can be easily shown that the complete information (CI) prices are given by

$$\begin{aligned} (p_a^{CI},p_b^{CI})=\left( \frac{V_a-V_b}{3}+t, -\frac{V_a-V_b}{3}+t\right) . \end{aligned}$$
(1)

We now return to asymmetric information. Since consumers are ex-ante unaware of product qualities, consumer beliefs play a key role. There are three different kind of beliefs: ex-ante, that is before consumers visit any firm, but after they have observed the prices, interim, that is after a consumer visits one firm, in which case he learns the product quality of the firm he visited and updates his beliefs about the product quality of the rival firm and final, that is after a consumer has visited both firms, in which case the consumer knows the true product qualities of both firms. In a separating equilibrium, the ex-ante beliefs are correct and so all three beliefs coincide, but in a pooling equilibrium, or out-of-equilibrium, this need not be true.

Let \(\mu ^e_a(p_a,p_b)\) be the consumers’ ex-ante beliefs that firm a has a high quality product and \(\mu ^e_b(p_a,p_b)\) be the beliefs that firm b has a high quality product, as a function of the observed prices. Also, let \(\mu ^{in}_{ai}(p_a,p_b)\) be the interim (in) beliefs of the consumers, who have visited firm i, that firm a has a high quality product and \(\mu ^{in}_{bi}(p_a,p_b)\) be the interim beliefs of the consumers, who have visited firm i, that firm b has a high quality product, where \(i=a,b\), as a function of the observed prices. The interim beliefs can differ between two consumers depending on which firm a consumer visited first. Clearly, since consumers learn perfectly a firm’s product quality after they visit the firm, \(\mu ^{in}_{ii}(p_a,p_b)=1\) if \(V_i=V_H\) and \(\mu ^{in}_{ii}(p_a,p_b)=0\) if \(V_i=V_L\). Also, let \(m^e(p_a, p_b)\) be the ex-ante probability that both firms are of high quality. Given the strategic interaction between the two firms, beliefs can be correlated, that is \(m^e(p_a, p_b)\ne \mu _a^e(p_a, p_b) \mu _b^e(p_a, p_b)\).

When consumers observe an out-of-equilibrium price pair, which is the case when a firm unilaterally deviates, we assume that they correctly believe that a firm has unilaterally deviated. These are the unprejudiced beliefs, which is a natural assumption in this multi-sender environment. The price of the non-deviating firm can, in many cases, provide useful information about the qualities of both firms. For example, suppose that when one firm has a high and the other a low quality product the equilibrium is separating \(({\hat{p}}_H,{\hat{p}}_L)\) and suppose consumers instead observe \((p^{\prime },{\hat{p}}_L)\) with \(p^{\prime }\ne {\hat{p}}_H,{\hat{p}}_L\). Consumers assign probability one that one firm has deviated and will use \({\hat{p}}_L\) to eliminate product quality profiles that are inconsistent with this price and unilateral deviations. This line of reasoning will be used in the derivations of the equilibria.

The consumer search process is described as follows. Each consumer, after observing a pair of prices and forms his ex-ante beliefs, visits first the firm with the higher net expected utility. Then, he inspects the product quality of the firm he visited, updates his beliefs about the product quality of the other firm and decides whether make a purchase or to incur the search cost to visit the other firm. After visiting the other firm, both product qualities are known and the consumer makes his final purchase decision based on which product yields the higher net utility.

Let \(\overline{V}\equiv qV_H+(1-q)V_L\) be the expected quality of a firm’s product before any prices are observed, \(\Delta V\equiv V_a-V_b\) be the true difference between the firms’ product qualities and \(DV\equiv V_H-V_L\) the difference between high and low quality. Note that there are three possibilities in our model: i) firms have the same product qualities, \(\Delta V=0\), ii) firm a is the high and firm b the low quality firm, \(\Delta V=DV\) and iii) firm b is the high and firm a the low quality firm, \(\Delta V=-DV\). Also let \(\Delta V^{e}(p_a,p_b)\equiv EV_a-EV_b=(\mu ^e_aV_H+(1-\mu ^e_a)V_L)-(\mu ^e_bV_H+(1-\mu ^e_b)V_L)\) be the ex-ante beliefs of consumers about the difference in the product qualities.Footnote 4 The ex-ante marginal consumer is given by

$$\begin{aligned} x^{e}=\frac{p_b-p_a+\Delta V^{e}+t}{2t}. \end{aligned}$$
(2)

Let \(\Delta V^{in}_a(p_a,p_b)\equiv V_a-EV^{in}_b=V_a-(\mu ^{in}_{ba}V_H+(1-\mu ^{in}_{ba})V_L)\) and \(\Delta V^{in}_b(p_a,p_b)\equiv (\mu ^{in}_{ab}V_H+(1-\mu ^{in}_{ab}))-V_b\) be the two different interim beliefs about the expected quality difference, where the subscript in \(\Delta V^{in}_i\) indicates the firm a consumer visited first. Note that the initial beliefs about the firm’s expected quality, \(EV_i\), is not necessarily the same as the interim \(EV^{in}_i\), \(i=a,b\). Consumers can incur the search cost \(\kappa \) and visit the other firm, if they believe their indirect utility will increase.

The (interim) marginal consumers, after prices have been observed and consumers have visited one firm, are

$$\begin{aligned} x_a^{in}=\frac{p_b-p_a+\Delta V_a^{in}+\kappa +t}{2t} \text{ and } x_b^{in}=\frac{p_b-p_a+\Delta V_b^{in}-\kappa +t}{2t}. \end{aligned}$$
(3)

Note that one difference between the two marginal consumers is the different sign in front of \(\kappa \). This is because \(x_a^{in}\) excludes the consumers who switch from a to b and so a high search cost increases a’s market share by making switching harder. For firm b higher \(\kappa \) makes switching from b to a harder, and so \(x_b^{in}\) decreases, implying higher market share for b.

There are three different possibilities, depending on the locations of the interim and the ex-ante marginal consumers.

  • Two-sided switching. If, \(\Delta V^{in}_a+\kappa<\Delta V^{e}<\Delta V^{in}_b-\kappa \), then \(x^{in}_a<x^{e}<x^{in}_b\), in which case the consumers who initially visited firm a and are in \([x^{in}_a, x^{e}]\) also visit b and the consumers who initially visited b and are in \([x^{e}, x^{in}_b]\) also visit a. For this we need \(\kappa <\Delta V^e-\Delta V_a^{in}\) and \(\kappa <\Delta V_b^{in}-\Delta V^e\). Note that \(\Delta V^e-\Delta V_a^{in}\) captures the change in the expected quality differential in favor of firm b, from the ex-ante to the interim stage, among the consumers who first visit a. Similarly, \(\Delta V_b^{in}-\Delta V^e\) captures the same change, in favor of a, among those who first visit b.

  • One-sided switching from ato b. If \(\kappa <\Delta V^e-\Delta V_a^{in}\) and \(\kappa >\Delta V_b^{in}-\Delta V^e\), then only consumers in \([x_a^{in}, x^e]\) switch to b.

  • One-sided switching from bto a. If \(\kappa >\Delta V^e-\Delta V_a^{in}\) and \(\kappa <\Delta V_b^{in}-\Delta V^e\), then only consumers in \([x^e, x_b^{in}]\) switch to a.

  • No switching. If \(\kappa >\Delta V^e-\Delta V_a^{in}\) and \(\kappa >\Delta V_b^{in}-\Delta V^e\), then no consumer switches firms at the interim stage. The marginal consumer in this case is given by (2).

To better understand the switching behavior, suppose \(\Delta V^e>0\). This means that consumers, after they have observed firms’ prices, believe that firm a has a higher quality product. Then assume that \(\Delta V_a^{in}<0\), which means that consumers who visit a update their ex-ante beliefs and think that it is firm b that has a higher quality product. This can be because, in out-of-equilibrium, consumers believed b is the low and a the high quality firm but it was actually the other way around. Consumers who visit a realize it is a low quality firm. In this case \(\Delta V^e-\Delta V_a^{in}>0\) and so some consumers will also visit b if the search cost is low.

Since consumers can costlessly return and buy from the first firm they visited, the final market share, if some consumers switched firms at the interim stage, is given by

$$\begin{aligned} x^f=\frac{p_b-p_a+\Delta V+t}{2t}, \end{aligned}$$
(4)

where \(\Delta V\) is the true product quality difference, since those who have switched firms know both product qualities. There are the following possibilities regarding the location of the final marginal consumer when there is switching at the interim stage.

  • Suppose there is one-sided switching from b to a (\(\kappa <\Delta V_b^{in}-\Delta V^e\)). Then, the final marginal consumer is \(x^f\in (x^e, x_b^{in})\) if \(\Delta V_b^{in}-\kappa>\Delta V>\Delta V^e\). If one of the inequalities is not satisfied, the final marginal consumer is either \(x^e\) or \(x_b^{in}\).

  • Suppose there is one-sided switching from a to b (\(\kappa <\Delta V^e-\Delta V_a^{in}\)). Then, the final marginal consumer is \(x^f\in (x^{in}_a, x^e)\) if \(\Delta V_a^{in}+\kappa<\Delta V<\Delta V^e\). If one of the inequalities is not satisfied, the final marginal consumer is either \(x^e\) or \(x_a^{in}\).

  • Suppose there is two-sided switching case (\(\kappa <\Delta V^e-\Delta V_a^{in}\) and \(\kappa <\Delta V_b^{in}-\Delta V^e\)). Then, the final marginal consumer is \(x^f\in (x_a^{in}, x_b^{in})\) if \(\Delta V_b^{in}-\kappa>\Delta V>\Delta V_a^{in}+\kappa \). If one of the inequalities is not satisfied, the final marginal consumer is either \(x^{in}_b\) or \(x_a^{in}\).

Let \(\pi _i(p_i,p_j,V_i,V_j,\mu ^e_i(p_i,p_j), \mu ^e_j(p_i,p_j), \mu ^{in}_{ij}(p_i,p_j),\mu ^{in}_{ji}(p_i,p_j))\), \(i=a,b\) and \(j=a,b\), be firm i’s expected profit as a function of prices, product qualities and consumer beliefs, both ex-ante and interim.

5 Informative prices (separating equilibrium)

We search for an equilibrium where consumers can infer, from the advertised prices, whether the firms have the same quality (either high H or low L) or one firm has high and the other low quality. There are four possible quality configurations: (HL), (LH), (HH) and (LL), where the first letter in each case refers to the product quality of firm a located at 0 and the second to the product quality of firm b located at 1.

Let \(p^{*}_H(HL)\) and \(p^{*}_L(HL)\) be the candidate equilibrium prices in the (HL) case and \(p^{*}(HH)\) and \(p^{*}(LL)\) the candidate symmetric equilibrium prices in the (HH) and (LL) cases respectively. Clearly, \(p^{*}_L(LH)\) and \(p^{*}_H(LH)\) are symmetric to \(p^{*}_H(HL)\) and \(p^{*}_L(HL)\). Moreover, given the covered market assumption, we look for an equilibrium where \(p^{*}(HH)=p^{*}(LL)=p^{*}\). Also, \(p^{*}_H(HL)\ne p^{*}_L(HL)\ne p^{*}\). Consumer ex-ante beliefs \(\mu _{a}^{e}(p_{a},p_{b})\) and \(\mu _{b}^{e}(p_{a},p_{b})\) are presented in the table in Appendix A.1.

The beliefs are defined over the equilibrium price pairs and over price pairs in which one price is an equilibrium price for a given product quality configuration, while the other may be an equilibrium price for a different quality configuration, or a non-equilibrium price. However, they are not defined over price pairs where both prices are non-equilibrium prices, as we solve the game by only considering unilateral deviations.

The beliefs are reasonable given the multi-sender nature of the game and satisfy the unprejudiced beliefs criterion where the receiver of the signals must take into account the number of price deviations that would be needed to generate a deviant price pair. In particular, unprejudiced beliefs satisfy a minimality rule, whereby the receiver (i.e., a consumer) infers a particular product quality pair if under that type the deviant price pair can be rationalized with the fewest number of deviations from the equilibrium strategies. In other words, multiple deviations are infinitely less likely than single deviations, e.g., Bagwell and Ramey (1991) and Vida and Honryo (2021). Essentially, consumers can rely on the price of the non-deviating firm, whenever possible, to infer the qualities of both firms.

To see how the beliefs are derived, consider as an example the case where consumers observe \(p_a=p_H^{*}(HL)\) and \(p_b=p^{*}\) (this is line 3 in the table in Appendix A.1). Given that beliefs are unprejudiced, consumers know that it is either (HL) and firm b has deviated, or (LL), or (HH) and firm a has deviated. They can safely rule out (LH), because if it was (LH) the observed prices would be consistent with multiple deviations. Hence, the ex-ante probability of firm a being of high quality is \(\frac{q^2+q(1-q)}{q^2+(1-q)^2+q(1-q)}\). Similarly, the ex-ante probability of firm b being of high quality is \(\frac{q^2}{q^2+(1-q)^2+q(1-q)}\).

The following lemma is a direct consequence of the unprejudiced beliefs.

Lemma 1

We assume that consumer beliefs are unprejudiced as given in Appendix A.1. Then, if a separating equilibrium exists it must entail the complete information prices (1).

The question that arises next is under what conditions a separating equilibrium exists. First, we analyze each one of the three cases, i.e., (HL), (HH) and (LL), separately and then we combine them.

5.1 Firm a has a high and firm b has a low quality product, (HL)

Lemma 2

Suppose firm a has a high and firm b has a low quality product and \(q>\frac{2}{3}\). Then, if \(\kappa \le \frac{DV(DV-9t(1-q))}{9t}\) the equilibrium prices are

$$\begin{aligned} p^{*}_H(HL)=\frac{DV}{3}+t \text{ and } p^{*}_L(HL)=-\frac{DV}{3}+t. \end{aligned}$$

Consumers upon observing the equilibrium prices can infer the product quality of each firm.

The high quality firm has no incentive to deviate. The low quality firm may have an incentive to raise its price to make consumers think that its quality is high and it is the other firm that has deviated. If the search cost is high, few consumers who first visit the deviating firm, and realize that its quality is low, switch to the other one. In this case it pays for the low quality firm to deviate. Therefore, such a deviation is unprofitable for relatively low search costs.

5.2 Both firms have high quality products, (HH)

Lemma 3

Suppose both firms have high product quality products, \(t\le \frac{(1-2q)^2 DV}{9q(1-q)}\) and \(q<\frac{1}{2}-\frac{\sqrt{21}}{14}\), or \(q>\frac{1}{2}+\frac{\sqrt{21}}{14}\). Then the equilibrium prices are

$$\begin{aligned} (p^{*}, p^{*})=(t, t). \end{aligned}$$

Consumers upon observing the equilibrium prices can infer that firms have the same quality products.

A firm may have an incentive to raise its price to \(p^{*}_H(HL)\) to make consumers believe that they are in the (HL) case and so the rival has a low quality. No consumer visits a second firm and that is why the search cost \(\kappa \) does not feature in the conditions of this case. This is because the consumers who visit the firm that deviated confirm their ex-ante beliefs about its high quality and the consumers who visit the non-deviating firm find out that it is high quality. A high t makes this deviation profitable because the deviating firm loses very little market share when it raises its price and t is high. That is why we need a low t to ensure no deviation.

5.3 Both firms have low quality products, (LL)

Lemma 4

Suppose both firms have low product quality products. Then if

  • \(\kappa <\min \left\{ \frac{(DV)^2}{3(DV+3t)}, \frac{q(1-q)DV}{1-q+q^2}\right\} \)

  • or, \(\kappa > \frac{q(1-q)DV}{1-q+q^2}\), \(t\le \frac{(1-2q)^2DV}{9q(1-q)}\) and \(q<\frac{1}{2}-\frac{\sqrt{21}}{14}\), or \(q>\frac{1}{2}+\frac{\sqrt{21}}{14}\)

the equilibrium prices are

$$\begin{aligned} (p^{*}, p^{*})=(t, t). \end{aligned}$$

Consumers upon observing the equilibrium prices can infer that firms have product of the same quality.

A firm can increase its price to make consumers believe it is high quality. If the search cost is low this strategy is not profitable as consumers upon realizing that the firm’s quality is actually low switch to the other firm. If the search cost is high, the firm that deviates can keep the consumers who first visit it. For this deviation to be unprofitable we need a low t so that a higher price implies significant loss of market share (as was the case in (HH)).

5.4 Existence of a separating equilibrium

We now combine Lemmas 23 and 4 to present the main result of this section.

Theorem 1

Suppose \(DV\in \left[ \frac{9q(1-q)t}{(1-2q)^2}, 3t\right) \), \(\kappa \le \frac{DV(DV-9t(1-q))}{9t}\), \(q>\frac{1}{2}+\frac{\sqrt{21}}{14}\approx 0.8273\) and the unprejudiced beliefs are given in Appendix A.1. Then, a separating equilibrium exists and it coincides with the complete information prices given by (1).

For a separating equilibrium to exist, we need a high quality differential DV relative to the competitiveness of the market captured by the transportation cost t (but lower than 3t so that the high quality firm does not drive the low quality out of the market), or a competitive market (low transportation cost) relative to DV, a relatively low search cost (low \(\kappa \)) and a relatively high probability of a high product quality (high q).

Example 1

Suppose \(t=1\) and \(q=85\%\). Then, the permissible interval for DV is [2.34, 3). The search cost \(\kappa \) must be lower than \(\frac{DV(DV-1.35)}{9}\). If firms have the same quality, which occurs with probability \(1-2q(1-q)=74.5\%\), the prices are (1, 1), while if firm a has high and firm b has low quality the prices are \(\left( \frac{DV}{3}+1, -\frac{DV}{3}+1\right) \) (the case where a is low quality and b high is symmetric).

6 Uninformative prices (pooling equilibrium)

We search for an equilibrium where prices convey no information about the product qualities. Both firms choose the same price \(p^{*}\). Ex-ante equilibrium beliefs are \(\mu ^e_i(p^{*},p^{*})=q\), for \(i=a,b\). To find the set of \(p^{*}\) that can be supported by beliefs as a pooling equilibrium we need to ensure that both firms (regardless of their type) prefer to set \(p^{*}\). If firm i prefers to set some price \(p\ne p^{*}\), even if by doing so is perceived by consumers as a low quality firm, then it is not possible to find out-of-equilibrium beliefs that make such a deviation unprofitable.

Suppose firm i is of low quality and firm j of high quality, that is (HL) or (LH). Furthermore, let’s assume that \(\mu ^e_i(p,p^{*})=0\) and \(\mu ^e_j(p,p^{*})=q\), for \(p\ne p^{*}\), that is the firm that deviates is perceived as a low quality, while the ex-ante beliefs about the firm that did not deviate that is of high quality is still q. Then the candidate pooling equilibrium must satisfy the following inequalities

$$\begin{aligned} \pi _i(p^{*},p^{*},V_L,V_H,q,q,q,q)\ge & {} \pi _i(p,p^{*},V_L,V_H,0,q,0,q) \end{aligned}$$
(5)
$$\begin{aligned} \pi _j(p^{*},p^{*},V_L,V_H,q,q,q,q)\ge & {} \pi _j(p^{*},p,V_L,V_H,q,0,q,0). \end{aligned}$$
(6)

When both firms set \(p^{*}\), ex-ante and interim consumer beliefs are the same and equal to q. Inequality (5) says that a low quality firm would not want to deviate to \(p\ne p^{*}\) if it is perceived as a low quality firm, while the ex-ante and interim beliefs for the rival firm, who is of high quality, are not affected by such a deviation. Inequality (6) ensures that a similar deviation on part of the high quality firm is unprofitable. We will have similar inequalities in the (HH) and (LL) cases.

6.1 Pooling equilibria with unrefined beliefs

6.1.1 High search cost, \(\kappa \ge qDV\)

We summarize in the lemma below.

Lemma 5

Suppose \(\kappa \ge qDV\). Then any price

$$\begin{aligned} p^{*}\in \left[ t+qDV-2\sqrt{tqDV}, t+qDV+2\sqrt{tqDV}\right] \end{aligned}$$

can be supported as a pooling equilibrium with out-of-equilibrium beliefs \(\mu ^e_i(p,p^{*})=0\), \(i=a,b\), for any \(p\ne p^{*}\).

The search cost is higher than \(qDV=\overline{V}-V_L\), which is the expected product quality gain for a consumer who has visited a low quality firm and contemplates visiting the other firm. Moreover, the firm that deviates from \((p^{*}, p^{*})\) is viewed as of low quality. Then, there is a continuum of pooling equilibria.

6.1.2 Low search cost, \(\kappa <qDV\)

Let \(\Omega \) be a set of prices such that if \(p^{*}\in \Omega \) a firm would not find a unilateral deviation from the pooling equilibrium \((p^{*},p^{*})\) profitable, if it was perceived as low quality (the set \(\Omega \) is defined precisely in the proof of Lemma 6 in the Appendix). We summarize in the Lemma below.

Lemma 6

Suppose \(\kappa <qDV\). For \(\kappa \)’s close to qDV, \(\Omega \ne \varnothing \), so a pooling equilibrium exists, while for low \(\kappa \)’s, \(\Omega =\varnothing \), implying that there is no pooling equilibrium.

The search cost is lower than the expected product quality gain for a consumer who has visited a low quality firm and contemplates visiting the other firm. As in the high search cost case, the deviating firm is perceived as low quality. For relatively high search costs, within that range, a continuum of pooling equilibria exist. For low search costs a pooling equilibrium does not exist. In particular, for low search costs, there are price intervals that prevent profitable deviations for each quality configuration, i.e., (HL), (HH) and (LL). But the intersection of these intervals is empty.

6.2 Pooling equilibria with refined beliefs

To support a pooling equilibrium in Sect. 6.1, we assumed that a firm that sets an out-of-equilibrium price is perceived as low quality. These beliefs gave rise to a continuum of pooling equilibria for relatively high search costs. In this section, we refine the pooling equilibria. More specifically, we use two belief refinements: (i) intuitive beliefs and (ii) impartial beliefs. In a nutshell, intuitive beliefs are concerned with which firm, i.e., high or low quality, has stronger incentives to deviate from a pooling equilibrium. If it is the high quality firm, then beliefs assign probability one that the deviator is the high quality firm. Impartial beliefs, on the other hand, assume that the consumer is agnostic about the quality of a deviating firm, if both types of firms are equally likely to deviate. The intuitive beliefs refinement has a bite when the search cost is relatively low (in which case it is indeed the high quality firm the one with stronger incentives to deviate), while the impartial beliefs refinement is applicable when the search cost is relatively high (in which case both firms have the same incentives to deviate).

6.2.1 Intuitive beliefs

Suppose a high quality firm can profitably deviate to a price if it is perceived by consumers as high quality, while the low quality firm is worse off, relative to the pooling equilibrium, if it deviates to that price, even if it is viewed as high quality. Then, reasonable beliefs should attach probability one that such a deviation is associated with a high quality firm.Footnote 5 More precisely (see also (Yehezkel 2008)):

Definition 1

A pooling equilibrium \(p^{*}\in \Omega \) is intuitive if \(\mu _i^e(p,p^{*})=1\) for all p satisfying

$$\begin{aligned} \pi _j(p,p^{*},V_H,V_L, 1, q,1,q)>\pi _j(p^{*},p^{*},V_H,V_L, q, q, q, q) \end{aligned}$$

and

$$\begin{aligned} \pi _i(p^{*},p,V_H,V_L, q, 1,q,1)\le \pi _i(p^{*},p^{*},V_H,V_L, q, q, q, q). \end{aligned}$$

A pooling equilibrium survives Definition 1 if there exists no price p other than \(p^{*}\) such that a high quality firm benefits from deviating (first inequality), while the low quality firm does not (second inequality), when a deviator is perceived as a high quality firm. Next, we examine the firms’ incentives to unilaterally deviate from \((p^{*}, p^{*})\), if a deviator is perceived as high quality.

Proposition 1

Suppose \(\kappa <DV\). There does not exist a pooling equilibrium with intuitive beliefs.

All pooling equilibria identified in Lemma 6 and most of the ones in Lemma 5 do not survive the intuitive beliefs refinement. A high quality firm can profitably deviate to a price range when such a deviation is unprofitable for the low quality firm even if it is perceived as high quality. The low search cost is key for this result. A low quality firm that mimics the high quality, loses significant market share when consumers discover the true quality and search cost is low.

6.2.2 Impartial beliefs

When, on the other hand, the search cost is high, \(\kappa \ge DV\), the profit function of the low quality firm is the same as the profit function of the high quality firm, because consumers learn a firm’s quality after they visit the firm but given the high search cost they are captive. In particular, the profit function of firm a is \(p_ax^e=\frac{p_a(p_b-p_a+\Delta V^e+t)}{2t}\), where \(x^e\) is given by (2), which shows that the profit function is independent of whether this firm has a high or a low quality product. The profit function is affected by product quality only through the term \(\Delta V^e\), which depends on ex-ante consumer beliefs and not on the actual product quality of a firm. This implies that the high quality firm cannot charge a high price to credibly signal its superior product quality. Hence, either type of a firm is equally likely to deviate and the intuitive refinement has no bite. We then turn to impartial beliefs.

Definition 2

(Hertzendorf and Overgaard (2001)) Out-of-equilibrium beliefs are impartial at a pooling equilibrium \(p^{*}\) if identical payoffs are associated with out-of-equilibrium ex-ante beliefs \(\mu _i^e(p,p^{*})=q\), \(i=a,b\).

If firms have the same payoff functions, then they must have the same incentives to deviate. Consumers, in this case, revert to their ex-ante beliefs following a unilateral deviation from the pooling equilibrium.

6.2.3 Main result

We can now state the main result of this section.

Theorem 2

Suppose search cost is high, \(\kappa \ge DV\). The only pooling equilibrium that is sustained by impartial out-of-equilibrium beliefs is \((p^{*},p^{*})=(t,t)\). If \(\kappa <DV\), there does not exist a pooling equilibrium that satisfies the intuitive beliefs.

Figure 1 depicts the range of parameter values, in the \((\kappa , DV)\) space, where the equilibria presented in Theorems 1 and 2 arise.

Fig. 1
figure 1

Combining Theorems 1 and 2: the range, in the \((\kappa , DV)\) space, of the equilibria

7 Effect of search cost on price dispersion and welfare

We first examine the effect of search cost on price dispersion and then on social welfare. A caveat in performing these comparative statics is that the beliefs are also changing.

Given that there exists a parameter space where a pure strategy equilibrium does not exist, in what follows we consider drastic reductions of consumer search cost, i.e., from \(\kappa >DV\) to \(\kappa <\frac{DV(DV-9t(1-q))}{9t}\), see Fig. 1. A drastic decrease of \(\kappa \) moves the market equilibrium from pooling to separating (provided \(DV\ge \frac{9q(1-q)t}{(1-2q)^2}\)). It can be easily deduced from the equilibrium prices given by (1) that this generates a mean-preserving spread in the price distribution.

Corollary 1

A drastic reduction in search cost \(\kappa \) induces a mean-preserving spread in the distribution of the equilibrium prices.

Thus, in our model a technological improvement that results in a drastic reduction of search costs, has the potential to affect positively the dispersion of prices and leave the average price unaffected.

Social welfare is \(W=\int _0^x (V_a-tz)dz+\int _x^1(V_b-t(1-z))dz)\), i.e., the difference between total consumer benefit and total transportation cost. A social planner would maximize W with respect to x. It is straightforward to verify that the efficient marginal consumer is located at \(x^{fb}=\frac{\Delta V}{2t}+\frac{1}{2}\), where fb stands for first-best. In a separating equilibrium, using the equilibrium prices, the marginal consumer is located at \(\frac{5\Delta V}{6t}+\frac{1}{2}\), while in a pooling equilibrium, where prices are equal, the marginal consumer is located at \(\frac{1}{2}\).

When firms have the same product qualities only the transportation cost matters, so an outcome is efficient, i.e., consumers buy from the closest firm. This is no longer true when qualities are asymmetric. As is clear from above, the separating equilibrium is inefficient when the firms have different qualities, which happens with a strictly positive probability. More specifically, more consumers buy the high quality product than what a social planner would prefer, i.e., \(\frac{5\Delta V}{6t}+\frac{1}{2}>\frac{\Delta V}{2t}+\frac{1}{2}\). In a pooling equilibrium, on the other hand, firms have equal market shares, which is also inefficient, but now too few consumers purchase the high quality product, i.e., \(\frac{1}{2}<\frac{\Delta V}{2t}+\frac{1}{2}\).Footnote 6

We can also compare the social welfare between a separating and a pooling equilibrium. We show (details are straightforward and thus are omitted) that the welfare under the separating equilibrium is higher. So, we can conclude that a lower search cost, and an associated move from a pooling to a separating equilibrium, increases efficiency.

Proposition 2

A drastic reduction in search cost \(\kappa \) enhances social surplus.

Note that consumers do not search in equilibrium, so the above result is not driven by a reduction in the total search cost consumers incur.

8 Conclusion

We study a duopoly model of horizontal and vertical differentiation where private information about firm quality is common knowledge among firms and each firm can have a high or a low quality product. Consumers are ex-ante unaware of firms’ product qualities, they observe prices and decide which firm to ‘visit’ first. A visit to a firm allows consumers to assess product quality before purchase. After a visit to the first firm consumers decide whether to purchase the firm’s product, or to incur the search cost and visit the second firm. A separating equilibrium with unprejudiced beliefs entails the complete information prices. Existence of a separating equilibrium requires a low search cost, a relatively competitive market (low transportation cost) and a high probability of a high product quality. If the search cost is high, a unique reasonable pooling equilibrium exists. A drastic decrease of the search cost, moves the market equilibrium from pooling to separating and the equilibrium prices exhibit a mean-preserving spread. It also increases social surplus. Hence, an empirical implication of our analysis is a negative relationship between search costs and price dispersion, but no effect of search costs on average price. Our focus in this paper was to determine parameter constellations under which separating and pooling equilibria in pure strategies exist. Future research can examine the type of equilibria in the parameter space where pure strategy equilibria do not exist.

It would be useful to compare the negative relationship between search cost and price dispersion with traditional search models, where consumers are mainly searching for the lowest price. The relationship between search costs and price dispersion in these models can be positive, negative or even non-monotonic (see (Baye et al. 2006) for a review of the literature). In Rob (1985), for example, lower search cost, in the form of a bigger mass of consumers with low search costs, decreases price dispersion. Chandra and Tappata (2011) present a theoretical search model where price dispersion can increase or decrease with search costs, but the empirical evidence from gasoline markets suggests that it is decreasing as search costs decrease. Consistent with this finding, Dahlby and West (1986) show that car insurance premiums are less dispersed for the class of drivers who are associated with lower search costs. In these models price dispersion is entirely due to search costs related to price discovery, while in our model consumers observe prices but not product qualities and price dispersion is due to both quality differences and search costs. When search costs are high, firms pool their prices together, quality differences are ‘masked’, and hence there is no price dispersion, but when search costs are low quality differences dominate and drive price dispersion. For many products, consumer search costs, and the decision to search, are partially affected by managerial decisions, e.g., free trials, higher transparency regarding product characteristics. Managers of high quality firms should make these types of investments to ease consumer search.

Recent developments in search theory, e.g., Doval (2018) and Petrikait (2021), allow for a purchase without inspection/search. Our assumptions preclude this possibility. In our model, if a consumer, after inspecting the first product, wishes to inspect/purchase the other product he must incur the search cost. But if an option of a purchase without inspection was available, then for consumers close to the center of the market it could be optimal to buy the other product without inspection, especially if the two prices were close enough to each other and the first inspection revealed a low quality product. Allowing for a purchase-without-inspection option would introduce additional dynamics regarding consumer behavior and would likely affect firm behavior and equilibrium prices. We leave this interesting extension for possible future research.