The Stackelberg leadership model is a strategic game in economics in which the leader firm moves first and then the follower firms move sequentially (hence, it is sometimes described as the "leader-follower game"). It is named after the German economist Heinrich Freiherr von Stackelberg who published Marktform und Gleichgewicht [Market Structure and Equilibrium] in 1934, which described the model. In game theory terms, the players of this game are a leader and a follower and they compete on quantity. The Stackelberg leader is sometimes referred to as the Market Leader.
There are some further constraints upon the sustaining of a Stackelberg equilibrium. The leader must know ex ante that the follower observes its action. The follower must have no means of committing to a future non-Stackelberg leader's action and the leader must know this. Indeed, if the 'follower' could commit to a Stackelberg leader action and the 'leader' knew this, the leader's best response would be to play a Stackelberg follower action.
Firms may engage in Stackelberg competition if one has some sort of advantage enabling it to move first. More generally, the leader must have commitment power. Moving observably first is the most obvious means of commitment: once the leader has made its move, it cannot undo it—it is committed to that action. Moving first may be possible if the leader was the incumbent monopoly of the industry and the follower is a new entrant. Holding excess capacity is another means of commitment.
The Stackelberg model can be solved to find the subgame perfect Nash equilibrium or equilibria (SPNE), i.e. the strategy profile that serves best each player, given the strategies of the other player and that entails every player playing in a Nash equilibrium in every subgame.
In very general terms, let the price function for the (duopoly) industry be
P
P(q1+q2)
1
2
i
Ci(qi)
To calculate the SPNE, the best response functions of the follower must first be calculated (calculation moves 'backwards' because of backward induction).
The profit of firm
2
\Pi2=P(q1+q2) ⋅ q2-C2(q2)
q2
\Pi2
q1
1
\Pi2
q2
\Pi2
q2
\partial\Pi2 | |
\partialq2 |
=
\partialP(q1+q2) | |
\partialq2 |
⋅ q2+P(q1+q2)-
\partialC2(q2) | |
\partialq2 |
.
Setting this to zero for maximisation:
\partial\Pi2 | |
\partialq2 |
=
\partialP(q1+q2) | |
\partialq2 |
⋅ q2+P(q1+q2)-
\partialC2(q2) | |
\partialq2 |
=0.
The values of
q2
The profit of firm
1
\Pi1=P(q1+q2(q1)).q1-C1(q1)
q2(q1)
q1
\Pi1
q2(q1)
2
\Pi1
q1
\Pi1
q1
\partial\Pi1 | |
\partialq1 |
=
\partialP(q1+q2) | |
\partialq2 |
⋅
\partialq2(q1) | |
\partialq1 |
⋅ q1+
\partialP(q1+q2) | |
\partialq1 |
⋅ q1+P(q1+q2(q1))-
\partialC1(q1) | |
\partialq1 |
.
Setting this to zero for maximisation:
\partial\Pi1 | |
\partialq1 |
=
\partialP(q1+q2) | |
\partialq2 |
⋅
\partialq2(q1) | |
\partialq1 |
⋅
q | ||||
|
⋅ q1+P(q1+q2(q1))-
\partialC1(q1) | |
\partialq1 |
=0.
The following example is very general. It assumes a generalised linear demand structure
p(q1+q2)=(a-b(q1+q2))
and imposes some restrictions on cost structures for simplicity's sake so the problem can be resolved.
| |||||||||
\partialqi ⋅ \partialqj |
=0,\forallj
\partialCi(qi) | |
\partialqj |
=0,j\ne i
for ease of computation.
The follower's profit is:
\pi2=(a-b(q1+q2)) ⋅ q2-C2(q2).
The maximisation problem resolves to (from the general case):
\partial(a-b(q1+q2)) | |
\partialq2 |
⋅ q2+a-b(q1+q2)-
\partialC2(q2) | |
\partialq2 |
=0,
⇒ -bq2+a-b(q1+q2)-
\partialC2(q2) | |
\partialq2 |
=0,
⇒ q2=
| ||||||
2b |
.
Consider the leader's problem:
\Pi1=(a-b(q1+q2(q1))) ⋅ q1-C1(q1).
Substituting for
q2(q1)
\Pi1=(a-
b(q | |||||||||
|
)) ⋅ q1-C1(q1),
⇒ \Pi1=(
| ||||||
2 |
)) ⋅ q1-C1(q1).
The maximisation problem resolves to (from the general case):
\partial\pi1 | |
\partialq1 |
=(
| ||||||
2 |
)-
\partialC1(q1) | |
\partialq1 |
=0.
Now solving for
q1
* | |
q | |
1 |
| ||||||||||||
q | ||||||||||||
1 |
.
This is the leader's best response to the reaction of the follower in equilibrium. The follower's actual can now be found by feeding this into its reaction function calculated earlier:
* | |
q | |
2 |
=
| |||||||||||||||||
2b |
,
⇒
* | |
q | |
2 |
=
| |||||||||
4b |
.
The Nash equilibria are all
*, | |
(q | |
1 |
*) | |
q | |
2 |
Plugging the follower's quantity
q2
q1
An extensive-form representation is often used to analyze the Stackelberg leader-follower model. Also referred to as a “decision tree”, the model shows the combination of outputs and payoffs both firms have in the Stackelberg game.
The image on the left depicts in extensive form a Stackelberg game. The payoffs are shown on the right. This example is fairly simple. There is a basic cost structure involving only marginal cost (there is no fixed cost). The demand function is linear and price elasticity of demand is 1. However, it illustrates the leader's advantage.
The follower wants to choose
q2
q2 x (5000-q1-q2-c2)
q | ||||
|
q2
The leader wants to choose
q1
q1 x (5000-q1-q2-c1)
q2
q1 x
(5000-q | ||||
|
-c1)
q2
q | ||||
|
q | ||||
|
c1=c2=1000
(16/9)106
If, after the leader had selected its equilibrium quantity, the follower deviated from the equilibrium and chose some non-optimal quantity it would not only hurt itself, but it could also hurt the leader. If the follower chose a much larger quantity than its best response, the market price would lower and the leader's profits would be stung, perhaps below Cournot level profits. In this case, the follower could announce to the leader before the game starts that unless the leader chooses a Cournot equilibrium quantity, the follower will choose a deviant quantity that will hit the leader's profits. After all, the quantity chosen by the leader in equilibrium is only optimal if the follower also plays in equilibrium. The leader is, however, in no danger. Once the leader has chosen its equilibrium quantity, it would be irrational for the follower to deviate because it too would be hurt. Once the leader has chosen, the follower is better off by playing on the equilibrium path. Hence, such a threat by the follower would not be credible.
However, in an (indefinitely) repeated Stackelberg game, the follower might adopt a punishment strategy where it threatens to punish the leader in the next period unless it chooses a non-optimal strategy in the current period. This threat may be credible because it could be rational for the follower to punish in the next period so that the leader chooses Cournot quantities thereafter.
The Stackelberg and Cournot models are similar because in both competition is on quantity. However, as seen, the first move gives the leader in Stackelberg a crucial advantage. There is also the important assumption of perfect information in the Stackelberg game: the follower must observe the quantity chosen by the leader, otherwise the game reduces to Cournot. With imperfect information, the threats described above can be credible. If the follower cannot observe the leader's move, it is no longer irrational for the follower to choose, say, a Cournot level of quantity (in fact, that is the equilibrium action). However, it must be that there is imperfect information and the follower is unable to observe the leader's move because it is irrational for the follower not to observe if it can once the leader has moved. If it can observe, it will so that it can make the optimal decision. Any threat by the follower claiming that it will not observe even if it can is as uncredible as those above. This is an example of too much information hurting a player. In Cournot competition, it is the simultaneity of the game (the imperfection of knowledge) that results in neither player (ceteris paribus) being at a disadvantage.
As mentioned, imperfect information in a leadership game reduces to Cournot competition. However, some Cournot strategy profiles are sustained as Nash equilibria but can be eliminated as incredible threats (as described above) by applying the solution concept of subgame perfection. Indeed, it is the very thing that makes a Cournot strategy profile a Nash equilibrium in a Stackelberg game that prevents it from being subgame perfect.
Consider a Stackelberg game (i.e. one which fulfills the requirements described above for sustaining a Stackelberg equilibrium) in which, for some reason, the leader believes that whatever action it takes, the follower will choose a Cournot quantity (perhaps the leader believes that the follower is irrational). If the leader played a Stackelberg action, (it believes) that the follower will play Cournot. Hence it is non-optimal for the leader to play Stackelberg. In fact, its best response (by the definition of Cournot equilibrium) is to play Cournot quantity. Once it has done this, the best response of the follower is to play Cournot.
Consider the following strategy profiles: the leader plays Cournot; the follower plays Cournot if the leader plays Cournot and the follower plays Stackelberg if the leader plays Stackelberg and if the leader plays something else, the follower plays an arbitrary strategy (hence this actually describes several profiles). This profile is a Nash equilibrium. As argued above, on the equilibrium path play is a best response to a best response. However, playing Cournot would not have been the best response of the leader were it that the follower would play Stackelberg if it (the leader) played Stackelberg. In this case, the best response of the leader would be to play Stackelberg. Hence, what makes this profile (or rather, these profiles) a Nash equilibrium (or rather, Nash equilibria) is the fact that the follower would play non-Stackelberg if the leader were to play Stackelberg.
However, this very fact (that the follower would play non-Stackelberg if the leader were to play Stackelberg) means that this profile is not a Nash equilibrium of the subgame starting when the leader has already played Stackelberg (a subgame off the equilibrium path). If the leader has already played Stackelberg, the best response of the follower is to play Stackelberg (and therefore it is the only action that yields a Nash equilibrium in this subgame). Hence the strategy profile - which is Cournot - is not subgame perfect.
In comparison with other oligopoly models,
The Stackelberg concept has been extended to dynamic Stackelberg games.[1] [2] With the addition of time as a dimension, phenomena not found in static games were discovered, such as violation of the principle of optimality by the leader.
In recent years, Stackelberg games have been applied in the security domain.[3] In this context, the defender (leader) designs a strategy to protect a resource, such that the resource remains safe irrespective of the strategy adopted by the attacker (follower). Stackelberg differential games are also used to model supply chains and marketing channels.[4] Other applications of Stackelberg games include heterogeneous networks,[5] genetic privacy,[6] [7] robotics,[8] [9] autonomous driving,[10] electrical grids,[11] [12] and integrated energy systems.[13]