rel_first_best.Rd
We compute the "equilibrium" play that would maximize joint payoffs if incentive constraints could be completely ignored.
rel_first_best(g, delta = g$param$delta, ...)
g | the game object |
---|---|
delta | The discount factor |
... | additional parameters of |
Note that we create the same columns as for a spe, e.g.
punishment payoffs v1 and v2 that would arise if every
action profile could be implemented as punishment.
This allows to use the same functions, like eq_diagram
as for equilibria.