| stackelberg_solver {Recon} | R Documentation | 
Stackelberg Duopoly with numeric solution
Description
This function numerically finds the equilibrium in a Stackelberg duopoly model with linear functions. For guaranteed existence of equilibrium, cost parameters should be non-negative.
The general functional form for a function of argument x is f(x) = p_0 + p_1 x. Parameters p refer to the inverse demand function.
The firm indexed by "l" is the leader, and the one indexed by "f" is the follower.
Usage
stackelberg_solver(leader = c(0, 1), follower = c(0, 1),
  demand = c(0, -1), l0 = 0, f0 = 0)
Arguments
| leader | vector of coefficients of the leader's cost function which in order must be: intercept of leader's cost function and linear term's parameter of leader's cost function | 
| follower | vector of coefficients of the follower's cost function which in order must be: intercept of intercept of follower's cost function linear term's parameter of follower's cost function | 
| demand | vector of coefficients of the market demand curve. Must be, in order, intercept and linear coefficient. | 
| l0 | Initial guess for leader's output. Defaults to 0. Strongly advised not to set this parameter unless you are very aware of what you're doing. | 
| f0 | Initial guess for follower's output. Defaults to 0. Strongly advised not to set this parameter unless you are very aware of what you're doing. | 
Value
A list with market price, firm output, profits and market share
Author(s)
Pedro Cavalcante Oliveira, Department of Economics, Fluminense Federal University pedrocolrj@gmail.com
Examples
l = c(100, 4)
f = c(120, 5)
p = c(300, -10)
stackelberg_solver(leader = l, follower = f, demand = p)