Self-enforcing price leadership

Gudino, Gustavo Article Self-enforcing price leadership Games Provided in Cooperation with: MDPI – Multidisciplinary Digital Publishing Institute, Basel Suggested Citation: Gudino, Gustavo (2021) : Self-enforcing price leadership, Games, ISSN 2073-4336, MDPI, Basel, Vol. 12, Iss. 3, pp. 1-18, https://doi.org/10.3390/g12030059 This Version is available at: https://hdl.handle.net/10419/257541 Standard-Nutzungsbedingungen: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in EconStor may be saved and copied for your personal and scholarly purposes. You are not to copy documents for public or commercial purposes, to exhibit the documents publicly, to make them publicly available on the internet, or to distribute or otherwise use the documents in public. If the documents have been made available under an Open Content Licence (especially Creative Commons Licences), you may exercise further usage rights as specified in the indicated licence. https://creativecommons.org/licenses/by/4.0/ games Article Self-Enforcing Price Leadership Gustavo Gudino   Citation: Gudino, G. Self-Enforcing Price Leadership. Games 2021,12, 59. https://doi.org/10.3390/g12030059 Academic Editors: Vijay Krishna and Yu Awaya Received: 28 June 2021 Accepted: 27 July 2021 Published: 29 July 2021 Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). Independent Researcher, State College, PA 16801, USA; [email protected] Abstract: A dynamic Bertrand-duopoly model where price leadership emerges in equilibrium is developed. In the price leadership equilibrium, a firm leads price changes and its competitor always matches in the next period. The firms produce a homogeneous product and are identical except for the information they possess about demand. The market size follows a two-state Markov process. Market size realizations are observed by one of the firms but not the other. Without explicit communication, price leadership allows firms to jointly approximate monopolistic profits in equilibrium as the market size becomes more persistent provided that firms are patient. In the presence of persistent market dynamics, the informed firm’s price serves as a signal of current and therefore future market conditions. In the proposed price leadership equilibrium, the informed firm could cut prices without being detected, but it does not do so because it would lead the uninformed to also lower their price in the following period. Keywords: repeated games; price leadership; coordination; collusion; asymmetric information 1. Introduction Price leadership is an industry pricing pattern in which periods of uniform (across firms) and constant prices are disrupted by one firm, the leader, whose new price soon becomes the uniform price. Among the industries in which such patterns have been claimed to be observed are gasoline [ 1 ], rayon [ 2 ], and airlines [ 3 ]. Stigler [ 1 ] and Markham [ 2 ] suggested that such patterns could emerge without explicit collusion in situations in which the leader is better informed about industry demand conditions. Stigler labeled such price leadership barometric price leadership and went on to suggest that it should be more prevalent in industries with persistent demand conditions (see Stigler [1], p. 446). Previous attempts to produce explicit models of price leadership following the Stigler– Markham ideas have interpreted price leadership as firms opting for sequential rather than simultaneous pricing within each discrete period and before demand is realized (e.g., [ 4 , 5 ]). Having the firms choose between sequential and simultaneous pricing can be interpreted as explicit collusion or firms making price announcements that are not immediately effective. Explicit collusion is inconsistent with the above ideas of Stigler and Markham. Furthermore, those models fail to explain price leadership instances in which non-immediate price announcements are not used like the British supermarkets case in the late 2000s (e.g., [ 6 ]). Moreover, there are two shortcomings of such models. First, a time series of prices generated by such models would not allow an observer to distinguish between sequential and simultaneous price setting models. Second, such models have nothing to say about the role of persistence of demand conditions. I develop a model of barometric price leadership that builds on the Stigler–Markham ideas. There is an infinite-horizon in discrete time and there are two firms with a common discount factor. One firm is informed about market demand and the other is uninformed. The market demand that the firms face can be either high or low, and it follows a symmetric persistent Markov process. The informed firm sees the market realization before setting its price; the uninformed firm never sees it. At each period, the two firms engage in price (Bertrand) competition; they set their prices simultaneously and are not able to engage in overt communication. If the two prices are different, then all sales go to the firm with Games 2021,12, 59. https://doi.org/10.3390/g12030059 https://www.mdpi.com/journal/games Games 2021,12, 59 2 of 18 the lower price; otherwise, they share sales equally. At the end of each period, each firm sees both prices, but only its own sales. In this setting, price leadership emerges when the uninformed firm always matches the informed firm’s previous price, while the informed firm sets different prices for different states. For a broad set of parameters, I show that price leadership is an equilibrium outcome in which the informed firm sets the monopolistic price at each state, and the uninformed firm matches the informed firm’s previous price. Provided that firms are patient enough, a condition for this equilibrium to exist is that the market size is sufficiently persistent. The intuition is simple: as the market size becomes more persistent, the uninformed firm is able to infer more about tomorrow’s state from today’s state. Therefore, the informed firm’s price becomes more informative as the market size becomes more persistent. These observations are consistent with Stigler’s idea that prices in industries with price leaders are more persistent than those of industries without price leadership. On the other hand, the informed firm could undercut prices and go undetected by setting a price as if demand was low when it is actually high, while the uninformed firm is setting a high price. However, in equilibrium, the informed firm is deterred from such a deviation because doing so would lead the uninformed firm to match the lower price in the next period, which in turn impacts the informed firm’s future profits. In this sense, price leadership is self-enforcing. Moreover, price leadership allows firms’ joint profits to approximate monopoly profits as the demand approaches perfect persistence for high (but fixed) discount factors. Escobar and Llanes [ 7 ] present a model of general repeated games that can be applied to generate price leadership patterns in a Bertrand setting with heterogeneous goods in which firms have private information about their demand. In that setting, there is equilibria in which a higher price by a firm today leads to higher prices tomorrow by both firms. However, their price patterns differ from the leader that sets a common price because goods are heterogeneous. Compared to Escobar and Llanes [ 7 ], this paper proposes equilibrium strategies that are less complex, which allows for further interpretation of the price dynamics and sheds light on the self-enforcing nature of price leadership. The remainder of the paper is organized as follows. The environment is described in Section 2. In Section 3, price leadership is defined and the results are presented. 2. Model Consider a market with two firms, I and U , I stands for informed while U stands for uninformed. These firms interact in an infinite horizon game. At each period t= 0, 1, 2, . . . , the firms compete in a homogeneous product Bertrand model. A state st , interpreted as the market size, is drawn at the beginning of each period from the set {sl , sh} where 0<sl<sh. The state follows a Markov process with transition matrix Pr(s0=sl|s=sl)Pr(s0=sh|s=sl) Pr(s0=sl|s=sh)Pr(s0=sh|s=sh)=1−φ φ φ1−φ(1) for some φ<1 2 . The initial distribution is given by Pr(·|sh) , that is, Pr(s0=sl) = φ . The results will not depend on the selection of the initial distribution. We say that the state is persistent because the probability of the state changing, φ, is always less than one half. While the Markov process is commonly known, only Firm I observes the realization of the state st . 1 After Firm I learns the state, the firms simultaneously set prices pt I and pt U from the support [ 0, p] where p>sh . For a given state st and prices pt I and pt U , the quantity demanded at period tis max{st−min{pt 1,pt 2}, 0}. If the firms set different prices, the firm with the lowest price gets the whole demand. Otherwise, firms share sales equally. Therefore, for prices pt I and pt U and state st∈ {sl , sh} , firm i’s stage payoff at period tis given by Games 2021,12, 59 3 of 18 ui(pi,pj;s) =      π(pi;s)if pi<pj,j6=i; π(pi;s) 2if pi=pj,j6=i; 0 otherwise. where π(p ; s) = max{p(s−p) , 0 } . At the end of each period, firms observe both prices and their own quantity but are unable to observe their competitor’s quantity. That is, at the end of period t, firm iobserves pt I,pt Uand qt i. The firms have a common discount factor δ∈( 0, 1 ) . Firm i ’s payoff from a sequence of prices {(pt I,pt U)}t=0,1,... and a sequence of states {st}t=0,1,... is (1−δ) ∞ ∑ t=0 δtui(pt I,pt U;st). Irrespective of the state st , the only stage game Nash equilibrium prices are given by pt I=pt U= 0 and the unique stage Nash equilibrium payoffs are therefore zero. Similarly, at a period t in which the market size is st=sx for x∈ {l , h} , a monopolist that knows st would set a price pM x=sx 2. At each period t , when firms are about to set prices, they possess different information. The uninformed firm knows the sequence of prices and its own quantity up to period t , that is, its period thistory is the sequence ht U≡ {pτ I,pτ U,qτ U}t−1 τ=0. Let Ht Udenote the set of all possible period thistories for the uninformed firm. On the other hand, the informed firm knows the sequence of prices up to period t and the whole sequence of states including st . That is, by the time the informed firm sets pt I , it knows the history ht I≡ {pτ I , pτ U , sτ}t−1 τ=0×st . Denote the set of all period t histories for the informed firm as Ht I. Let Hj be the set all possible histories for firm j , or Hj=S∞ t=0Ht j . A pure strategy for firm jis a mapping Pj:Hj→[0, p]. Note that the uninformed firm does not possess any private information. That is, for each history ht I that the informed firm observes, there is only one possible history ht U for the uninformed firm. The opposite is not true. Knowing both prices and its own quantity is not always enough for the uninformed firm to infer the market size. For example, the uninformed firm would not be able to infer st in periods in which its price is higher and it does not sell. Monopolistic Profits The maximum profits that can be attained in this environment are obtained by an informed monopolist, or a monopolist that at every period knows the state before setting its price. For that reason, we use monopolistic as the reference for high profits. Let VM(sl) and VM(sh) denote the expected payoff of a monopolist before it learns the realization of the current state given that the previous state was sl and sh , respectively. Then, if the previous state was sl : the current state is sl with probability ( 1 −φ) and the informed monopolist obtains a stage payoff of π(pM l ; sl) and a continuation value VM(sl) ; and, the current state is sh with probability φ in which case the monopolist obtains a stage payoff of π(pM h;sh)and a continuation value of VM(sh). That is, VM(sl) = (1−δ)(1−φ)π(pM l;sl) + φπ(pM h;sh)+δ(1−φ)VM(sl) + φVM(sh). (2) Similarly, VM(sh) = (1−δ)φπ(pM l;sl) + (1−φ)π(pM h;sh)+δφVM(sl) + (1−φ)VM(sh). (3) Games 2021,12, 59 4 of 18 3. Price Leadership Next, price leadership is formally defined as a class of strategy profiles that generate price leadership patterns. Definition 1 (Price Leadership) . For any pair of prices, p= (pl , ph) with pl6=ph , the price leadership pricing rules are defined as follows: I. At any period t≥ 0, the informed firm sets a price pt I equal to pl if the state is sl and equal to phif the state is sh; U. the uninformed firm starts by setting the price ph at t= 0and after that always sets a price pt Uthat matches the informed firm’s previous price, that is, pt U=pt−1 I. After a deviation from the previous pricing rules is detected, both firms set a price equal to 0 forever. In this environment in which the market size is persistent, an strategy profile satisfying the previous definition will generate price leadership patterns. If the state changes, the informed firm changes its price accordingly and the uninformed firm follows in the next period. Previous works have interpreted price leadership as firms opting for sequential (Stackelberg) rather than simultaneous (Nash) pricing within each discrete period before the demand is realized [ 4 , 5 , 9 – 12 ]. This interpretation differs from the price leadership introduced in this paper because the prices generated by those models do not distinguish between simultaneous and sequential pricing. At each period in those models, all firms have set the same prices by the time they start selling. The price leadership strategy profile with prices p is simple in the sense that the period t ’s action only depends on the previous period actions for the uninformed firm and on the previous period actions and the current state for the informed firm. The remainder of this section shows that price leadership equilibria perform well in terms of joint profits despite its simplicity. Because our interest lie in supporting price leadership outcomes in which firms attain high profits, we will restrain our attention to cases where pl<ph. 3.1. Payoffs from Price Leadership The expected payoffs from the price leadership strategy profile are derived as follows. We start with the expected payoffs of the uninformed firm when both are playing according to the price leadership profile with prices p= (pl , ph) where pl<ph . In the price leadership cooperation phase, Firm U ’s information is summarized by the informed firm previous price. Hence, let VU p(p) for p∈ {pl , ph} be the uninformed firm expected discounted payoff given that the informed firm previous price was equal to p while in the cooperation phase. Next, provided that both firms are following the price leadership strategy profile, we derive the uninformed firm’s expected discounted payoff: • If the informed firm’s previous price was pl , the uninformed is setting the price pl today. Furthermore, it must be the case that the market size was sl in the previous period so the state today is sl with probability ( 1 −φ) and sh with probability φ . If the current state is sl again, both firms set a price pl and split the market today and the uninformed firm derives a continuation value of VU p(pl) . On the other hand, if the current state is sh , the informed firm sets a price ph and the uninformed gets the whole market today at a price pland a continuation value of VU p(ph). That is, VU p(pl) = (1−δ)(1−φ)π(pl;sl) 2+φπ(pl;sh)+ δh(1−φ)VU p(pl) + φVU p(ph)i. (4) Games 2021,12, 59 5 of 18 • If the informed firm’s previous price was ph , the expected discounted payoff for the uninformed firm is given by VU p(ph) = (1−δ)(1−φ)π(ph;sh) 2+δhφVU p(pl) + (1−φ)VU p(ph)i. (5) Similarly, assuming both firm are following the price leadership strategy profile, we will derive the expected payoffs for firm I . Remember that the informed firm knows the state by the time the prices are set. All the information that firm I needs to calculate its expected payoff is the previous and the current state. Let VI p(s , s0) with s , s0∈ {sl , sh} be the informed firm’s expected discounted payoff provided that the current state is s0 and the previous state was s . Next, we derive the informed firm’s expected discounted payoff for the different (s,s0): • When both the previous and the current states are low, the informed firm knows that the uninformed is going to set a price equal to pl because the previous state (and the informed firm previous price) was low. Hence, because the state today is also sl , the informed firm also sets a price equal to pl and both firms equally split the market today. The next state is sl with probability ( 1 −φ) in which case the continuation value of firm I is VI p(sl , sl) . With probability φ , the next state is sh in which case the informed gets a continuation payoff of VI p(sl,sh). Then, VI p(sl,sl) = (1−δ)π(pl;sl) 2+δh(1−φ)VI p(sl,sl) + φVI p(sl,sh)i. (6) • When the previous state was low and the current state is high, the expected discounted payoff for the informed firm is VI p(sl,sh) = δhφVI p(sh,sl) + (1−φ)VI p(sh,sh)i. (7) • When the previous state was high and the current state is low, the expected discounted payoff for the informed firm is VI p(sh,sl) = (1−δ)π(pl;sl) + δh(1−φ)VI p(sl,sl) + φVI p(sl,sh)i. (8) • When both the previous and the current states are high, the expected discounted payoff for the informed firm is VI p(sh,sh) = (1−δ)π(ph;sh) 2+δhφVI p(sh,sl) + (1−φ)VI p(sh,sh)i. (9) 3.2. Price Leadership as an Equilibrium Conditions for the price leadership strategy profile to be a PBE are derived in this section. First, we need to specify the uninformed firm’s beliefs. At any t∈N0 , let µt(·|ht U)∈ ∆(S) be the belief that the uninformed firm has about the state at period t given a history ht U∈ Ht U along the equilibrium path. The initial belief µ0(·) is given by Pr(·|sh) . If firms are following price leadership with prices pl and ph with pl<ph , then µt only depends on the action that the informed firm took at period t− 1. Then, given a history ht U∈ Ht U along the equilibrium path, the uninformed firm beliefs about stare given by µt(·|ht U) = (Pr(·|st−1=sl)if pt−1 I=pl Pr(·|st−1=sh)if pt−1 I=ph. Outside the equilibrium path, the uninformed firm updates its belief about the current state using the market size transition matrix and inferring the state whenever possible. Note that the uninformed firm is able to infer the state s¯ t with certainty from the observed prices and its own quantity at any period ¯ t in which p¯ t U≤p¯ t I<sh . Then, for an ht U∈ Ht U outside Games 2021,12, 59 6 of 18 of the equilibrium path, the uninformed firm beliefs about st are given by µt=Is¯ tΦ(t−¯ t) , where: (1) µt= ( µt(sl|ht U) , µt(sh|ht U) ) , (2) ¯ t was the last period the uninformed firm was able to infer the state with certainty, 2 (3) Is¯ t is the vector ( 1, 0 ) if s¯ t was inferred to be sl and (0, 1)otherwise, and (4) Φis the market size transition matrix defined on Equation (1). Next, we need to show that there are no profitable deviations from the price leadership profile. Firm can potentially make a profit by deviating to charge a lower price than the price prescribed by the strategy profile. Appendix Acontains a detailed description of the potentially profitable deviations. All price cuts except one are immediately detected and therefore trigger a Nash reversal. Hence, price cuts that are immediately detected are not profitable for patient firms. The only price cut that is not detected occurs when both firms are supposed to set a price ph but firm I deviates by setting a price pl . In that case, the uninformed firm does not sell and cannot distinguish if there was a deviation or the state was sl. That deviation is depicted in Figure 1. st−1=sh on equilibrium path st=sh pt I=pl st+1=sl VI p(sl,sl) st+1=sh VI p(sl,sh) φ (1−φ) Figure 1. Undetected Deviation. In the cooperative phase of the price leadership profile, the informed firm can cut price without being detected. Figure 1represents a situation in which firms have played according to the price leadership strategy profile up to period t and st−1=st=sh . Because the price of the informed firm was ph in the previous period, the uninformed sets a price ph at period t . Then, firm I can deviate by setting a price pl and getting the whole market instead instead of sharing the demand at price ph . Hence, the informed firm’s stage payoff from such deviation at period t is given by π(pl ; sh) . The continuation values also change because the deviation leads to the uninformed firm setting a price pl at period t+ 1. With probability φ the state at t+ 1 will change to sl and in that situation the informed firm faces an identical problem as when on equilibrium the state is going from sl to sl therefore obtaining a expected discounted payoff of VI p(sl , sl) . Similarly, with probability 1 −φ the state remains shat period t+1 and the informed firm obtains a discounted payoff of VI p(sl,sh). Although high discount factors are enough to discourage all other price cuts in a price leadership profile, the firms being patient is not sufficient to discourage the informed firm from deviating according to Figure 1. Next we establish conditions to ensure that such deviation is not profitable. In the price leadership equilibrium, the informed firm does not set cut prices because doing so would lead the uninformed firm to match the lower price and to negatively impact the informed firm future profits. 3.2.1. Price Leadership Equilibrium with Monopolistic Prices Next, I derive conditions that guarantee that price leadership with the monopolistic prices can be sustained as a PBE. All proofs are presented in Appendix B. Remember that an informed monopolist will set a price pM l=sl 2 whenever the market size is low and a price pM h=sh 2 if the market size is high. The next proposition establishes a condition on sl , sh and φ , so that price leadership with monopolistic prices is a PBE for patient enough firms. Proposition 1. If the following inequality holds, sl sh <2−φ 2+φ(10) there exists δ∈(0, 1)such that price leadership with monopolistic prices is a PBE for any δ>δ. Games 2021,12, 59 7 of 18 In Figure 1, we presented a scenario in which the informed firm could deviate from the price leadership profile and increase its stage payoff without being detected. Whenever both firms set a high price pM h , the uninformed firm could set a price pM l . A feature of the proposed equilibrium is that the uninformed firm does not believe that the informed firm would deviate in such a way, and it does not monitor for such a deviation. For the informed firm, the cost of deviating is that the uninformed firm will follow and set a price pM l in the next period. That is enough to deter the informed firm from deviating when condition (10) holds and firms are patient. The condition (10) is intuitive given that the inequality holds for low sl sh and low φ . The informed does not want to deviate and set a price pM l when both firms are supposed to set a price pM hand split the high demand because: • When sl sh is low, the monopolistic price for the low state, pM l , is low relative to pM h and that makes the option of deviating to set pM lless desirable. • When φ is low, the demand is persistent, the market size is likely to stay high in the next period and deviating would lead to a low price by the uninformed firm. Furthermore, condition (10) is consistent with Stigler’s conjecture that “the prices of industries with price leaders are less flexible than those of industries without price leaders, despite the larger fluctuations of output of the former group.” 3 Note that condition (10) implies that price leadership is more likely to arise if φ is low, a condition that generates more persistent prices. In a similar fashion, price leadership is more likely to arise if sl/sh is not close to 1. As a result, changes are not small when price adjustments occur. If the firms are able to sustain price leadership with monopolistic prices, joint profits are below the monopolistic profits only when there was a change of state and the the uninformed firm is not able to adjust its price. Therefore, as the market size becomes more persistent the joint profits must approximate monopolistic profits. The next lemma contains a closed form solution for the difference between the informed monopolist expected profits and the joint expected profits from following price leadership with monopolistic prices. We compare the joint profits derived from price leadership with monopolistic prices to those obtained by an informed monopolist in the next lemma. The comparison will consider ex-ante profits, that is, before the informed firm or the informed monopolist know the realization of the current state. Lemma 1. The difference in ex-ante discounted payoffs between the informed monopolist and the joint profits of firms following price leadership with monopolistic prices are VM(sl)−[VU pM(pM l) + VI pM(sl)] = 1−δ+δφ 1−δ+2δφ φsh−sl 22 (11) and VM(sh)−[VU pM(pM h) + VI pM(sh)] = δφ2 1−δ+2δφ sh−sl 22 (12) where VI pM(sl)=( 1 −φ)VI pM(sl , sl) + φVI pM(sl , sh) , the ex-ante expected payoff for the informed firm provided that the previous state was low, and similarly VI pM(sh) = φVI pM(sh , sl)+( 1 − φ)VI pM(sh,sh)is its expected value when the previous state was high. From Lemma 1, we conclude that the joint profits approach those of an informed monopolist as φ goes to 0. That is not necessarily the case when δ goes to 1 and everything else is fixed. Proposition 2. Fix sland sh, then there exist a δsl,sh∈(0, 1)such that for any fixed δ>δsl,sh, •Exists a φ>0, such that for any φ<φ, price leadership with monopolistic profits is a PBE. •The ex-ante expected joint profits go to the monopolistic profits as φgoes to 0. Games 2021,12, 59 8 of 18 The discount factor threshold, δsl,sh , is equal to 1 / 2 when the ratio sl/sh is below 1−1/√2≈0.293, and it is increasing on sl/shwhen the ratio is above 1 −1/√2. Obara and Zincenko [ 13 ] show that δ≥ 1 / 2 is a necessary and sufficient condition for having a collusive outcome in an infinitely-repeated Bertrand duopoly with complete information. 4 Therefore, in the limit case (when φ= 0), no collusion of any type could be possible when δ< 1 / 2. Based on this result, we should expect that result to hold as φ approaches 0. In that case, if the ratio sl sh is sufficiently small and the shocks become sufficiently persistent, price leadership is an equilibrium whenever a collusive equilibrium is possible (more precisely, the discount factor threshold δsl,sh is the same as the minimum threshold in Obara and Zincenko [13]). 3.2.2. Price Leadership When Monopolistic Prices Are Not Sustainable The results presented in Section 3.2.1 establish conditions under which firms are able to sustain monopolistic prices in a price leadership equilibrium. However, firms are able to sustain a price leadership equilibrium in cases in which monopolistic prices are not sustainable. As previously argued, if patient firms cannot sustain monopolistic prices in a price leadership equilibrium, it must be the case that is too tempting for the informed firm to pretend that the demand is low when it is actually high. In such cases, a deviation like the one in Figure 1can be discouraged by lowering the price pl assigned to the low demand state sl in the price leadership strategy profile. For example, it is easy to see that such a deviation is not profitable if pl= 0. In general, for any sl , sh , and φ< 1 / 2, a maximum ¯ pl<pM l can be derived such that price leadership with prices pl<¯ pl and pM h is an equilibrium for patient firms. 4. Discussion In this model, I study an infinite-horizon duopoly model in which firms engage in Bertrand competition at each period. The market size follows a two-state Markov process, and at each period the realization of the current state is only known by one firm. In that environment, I show the existence of equilibria that generates price leadership patterns for a wide set of parameters. Moreover, firms can derive joint profits that approach the monopolistic profits from this type of equilibria as the market size becomes more persistent. In such cases, given that overt communication is not feasible, the informed firm leads the uninformed firm towards joint profit maximization. Moreover, compared to some previous models of barometric price leadership, we dispose of the assumption that firms have the option of pricing sequentially at each stage. We can understand pricing sequentially as a firm communicating their price intentions to competitors before making the price change, or as firms making non-immediately-effective price announcements as in the vitamins industry [ 14 ]. Our results suggest that firms can attain high profits through price leadership with no need for overt communication or price announcements. Although our model differs from the “secret price cuts models” 5 because firms are able to observe prices, the informed firm can cut prices without being detected by pretending that the demand is low when it is actually high. Price leadership discourages this type of deviation with no need for on-equilibrium punishments because if the informed firm lowers its price the uninformed will match the low price in the next period. This paper provides theoretical support for Stigler’s barometric price leadership observations. The patterns can emerge in the presence of asymmetric information about persistent market conditions because the price of the better informed firm can be used to infer information about the unknown market conditions. Funding: This research received no external funding. Institutional Review Board Statement: Not applicable. Games 2021,12, 59 15 of 18 Then, letting c=1−δ(1−φ) VI p(sl)+VU p(pl) = 1−δ c2−δ2φ2cΠI l+ΠU l+δφ ΠI h+ΠU h =1−δ c2−δ2φ2c(1−φ)π(pl;sl) + φπ(pl;sh) +δφφπ(pl;sl) + (1−φ)π(ph;sh) and VI p(sh)+VU p(ph) = 1−δ c2−δ2φ2δφΠI l+ΠU l+cΠI h+ΠU h =1−δ c2−δ2φ2δφ(1−φ)π(pl;sl) + φπ(pl;sh) +cφπ(pl;sl) + (1−φ)π(ph;sh) From Corollary A1, VM(sl) = 1−δ c2−δ2φ2c(1−φ)π(pl;sl) + φπ(ph;sh) +δφ φπ(pl;sl) + (1−φ)π(ph;sh) VM(sh) = 1−δ c2−δ2φ2δφ (1−φ)π(pl;sl) + φπ(ph;sh) +cφπ(pl;sl) + (1−φ)π(ph;sh) Therefore, VM(sl)−VI p(sl) + VU p(pl)=1−δ c2−δ2φ2cφπ(ph;sh)−π(pl;sh) and VM(sh)−VI p(sh) + VU p(ph)=1−δ c2−δ2φ2δφ2π(ph;sh)−π(pl;sh). Furthermore, 1−δ c2−δ2φ2=1−δ [(1−δ) + δφ)]2−δ2φ2= =1−δ (1−δ)2+2δ(1−δ)φ=1 1−δ+2δφ  and plugging the monopolistic prices, π(pM h;sh)−π(pM l;sh) = s2 h 4−sl 2sh−sl 2=1 4s2 h−slsh+s2 l=1 4sh−sl2. Finally, VM(sl)−VI pM(sl) + VU pM(pl)=1 4cφ 1−δ+2δφ sh−sl2 and VM(sh)−VI p(sh) + VU p(ph)=1 4δφ2 1−δ+2δφ sh−sl2. Games 2021,12, 59 16 of 18 Proof of Proposition 2.Fix sland shand let k=sl sh. We define δsl,sh≡max 1 2,4k−2k2 1+4k−2k2,−2k2+4k−1. We will show that for any fixed δ>δsl,sh , there exists a φ∈( 0, 1 / 2 ) , such that for any φ<φprice leadership with monopolistic prices is a PBE. We fixed any δ>δsl,sh . Now, given that we are fixing the discount factor, we must pay attention to those incentive constraints that correspond to deviations that trigger a Nash reversal. Therefore, we need to verify that all all the incentive constraints (A1) – (A8) are satisfied when φgoes to 0. First note that, lim φ↓0VU pM(pl) = π(pM l;sl) 2 lim φ↓0VU pM(ph) = π(pM h;sh) 2 lim φ↓0VI pM(sl,sl) = π(pM l;sl) 2 lim φ↓0VI pM(sl,sh) = δπ(pM h;sh) 2 lim φ↓0VI pM(sh,sl) = (1−δ)π(pM l;sl) + δπ(pM l;sl) 2 lim φ↓0VI pM(sh,sh) = π(pM h;sh) 2 Next, we show that as φ goes to 0, the incentive constraint (A1) is satisfied as long as δ>1/2. Note that (A1) is satisfied if, VU pM(pl)−(1−δ)[(1−φ)π(pM l;sl)−φπ(pM l;sh)] ≥0. The left hand side of the previous inequality is continuous on φ for φ∈[ 0, 1 / 2 ] . Furthermore, when φgoes to 0, the left hand side goes to π(pM l;sl) 2−(1−δ)π(pM l;sh). Therefore, the incentive constraint (A1) holds when φ goes to 0 as long as δ> 1 / 2. The same argument applies for incentive constraints (A2)–(A5) and (A7). We are left with verifying that the incentive constraints (A6) and (A8) hold. Let us look at (A6), it holds if VI pM(sl,sh)−(1−δ)π(pM l;sh)≥0. When φgoes to 0, the left hand size of the previous inequality goes to δπ(pM h;sh) 2−(1−δ)π(pM l;sh). The previous expression can be written as δs2 h 8−(1−δ)slsh 2+ (1−δ)s2 l 4 Games 2021,12, 59 17 of 18 which is greater than 0 if δ>4k−2k2 1+4k−2k2. Therefore, the incentive constraint (A6) holds as φgoes to 0 as long as δ>4k−2k2 1+4k−2k2. Finally, using Lemma A3, we know that the incentive constraint (A8) holds as long as [1+δ(1−φ)]π(pM h;sh)−2π(pM l;sh) + δφπ(pM l;sl)≥0 and plugging the profits, that turns into, [1+δ(1−φ)]s2 h 4−slsh−sl 2+δφ sl 4≥0. If we multiply the previous inequality by 4 s2 h , we would know that the inequality holds as [1+δ(1−φ)] −4k+2k2+δφk2≥0. Note that the left hand side of the previous inequality is continuous on φ . Furthermore, as φgoes to 0, the left hand side goes to, (1+δ)−4k+2k2. Consequently, the incentive constrain (A8) holds when φgoes to 0 as long as δ>4k−2k2−1. Therefore, for any δ>δsl,sh , there exists a φ> 0, such that for any φ<r , price leadership with monopolistic prices is a PBE. As a corollary of lemma 1, we can see that lim φ↓0VM(sh)−(VU pM(sh) + VI pM(ph) )=0. This concludes the proof. Notes 1The model introduces information asymmetries into a two-firm and two-state version of Kandori [8]. 2 If the uninformed firm was unable to infer the state with certainty in any prior period, then the beliefs are derived in a similar manner from the initial distribution and the transition matrix. 3See [1], on p. 446. 4 The described setting is a special case of Obara and Zincenko [ 13 ]. They consider a Bertrand oligopoly with complete information in which firms can have different discount factors. 5See Section 6.7.1 in [15] for an example. References 1. Stigler, G.J. The Kinky Oligopoly Demand Curve and Rigid Prices. J. Political Econ. 1947,55, 432–449. [CrossRef] 2. Markham, J.W. Nature and Significance of Price Leadership. Am. Econ. Rev. 1951,41, 891–905. 3. Rotemberg, J.J.; Saloner, G. Collusive Price Leadership; MIT Sloan Working Paper 2003-88; MIT Alfred P. Sloan School of Management: Cambridge, MA, USA, 1988. 4. Cooper, D.J. Barometric price leadership. Int. J. Ind. Organ. 1997,15, 301–325. [CrossRef] 5. Rotemberg, J.J.; Saloner, G. Collusive Price Leadership. J. Ind. Econ. 1990,39, 93–111. [CrossRef] 6. Seaton, J.S.; Waterson, M. Identifying and characterising price leadership in British supermarkets. Int. J. Ind. Organ. 2013 ,31, 392–403. [CrossRef] 7. Escobar, J.F.; Llanes, G. Cooperation dynamics in repeated games of adverse selection. J. Econ. Theory 2018 ,176, 408–443. [CrossRef] 8. Kandori, M. Correlated Demand Shocks and Price Wars During Booms. Rev. Econ. Stud. 1991,58, 171–180. [CrossRef] 9. Deneckere, R.J.; Kovenock, D. Price Leadership. Rev. Econ. Stud. 1992,59, 143–162. [CrossRef] Games 2021,12, 59 18 of 18 10. Yano, M.; Komatsubara, T. Endogenous price leadership and technological differences. Int. J. Econ. Theory 2006 ,2, 365–383. [CrossRef] 11. Mouraviev, I.; Rey, P. Collusion and leadership. Int. J. Ind. Organ. 2011,29, 705–717. [CrossRef] 12. Yano, M.; Komatsubara, T. Price Competition or Tacit Collusion; KIER Discussion Paper 807; Kyoto University: Kyoto, Japan, 2012. 13. Obara, I.; Zincenko, F. Collusion and heterogeneity of firms. RAND J. Econ. 2017,48, 230–249. [CrossRef] 14. Marshall, R.C.; Marx, L.M.; Raiff, M.E. Cartel price announcements: The vitamins industry. Int. J. Ind. Organ. 2008,26, 762–802. [CrossRef] 15. Tirole, J. The Theory of Industrial Organization; MIT Press: Cambridge, MA, USA, 1988.