Economic Models - Convex Optimization
Economic Models - Convex Optimization
Economic Models - Convex Optimization
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Cheap-talk Multiple Equilibria and Pareto 105<br />
period. Rather than expenditures in emission-reducing capital, γ can therefore<br />
be interpreted as the additional costs resulting of a temporary switch<br />
to a cleaner resource — for e.g., of a switch from coal to natural gas.<br />
The firms attempts to maximize their profit. As we shall see at a later<br />
place, one can assume without loss of generality that they disregard the<br />
future and maximize in every τ, their current instantaneous profit. However,<br />
the actual tax rate t enters their instantaneous profit function and is unknown<br />
at the time when they choose v. Thus, they need to base their optimal<br />
choice of v on an expectation (or, prediction) t e of t. In reality, a firm<br />
can invest larger or smaller amounts of money in order to make or less<br />
accurate predictions of the tax, the government will actually implement.<br />
In this model, we assume for simplicity that each firm has two (extreme)<br />
options for predicting the implemented tax. It can either suppose that R’s<br />
announcement is truthful, that is, that t will be equal to t a , or it can do costly<br />
research and try to better predict the t that will actually be implemented.<br />
Depending upon the expectation-formation mechanism the firm chooses,<br />
we speak of believer B or of a non-believer NB:<br />
A believer considers the regulator’s announcement to be truthful<br />
and sets<br />
t e = t a (3)<br />
This does not cost anything.<br />
A non-believer makes a “rational” prediction of t, considering the current<br />
number of Bs and NBs as constant. Making the prediction in any given<br />
period τ costs δ>0.<br />
Details on the derivation of the NBs’prediction will be given later. Note<br />
that a firm can change its choice of expectation-formation mechanism at<br />
any moment in time. That is, a B can become a NB, and vice versa. We<br />
denote with π = π(t) ∈ [0, 1] the current fraction of Bs in the population.<br />
Thus, 1 − π is the current fraction of NBs.<br />
2.2. The Regulator, R<br />
The regulator’s goal is to maximize with respect to t a ≥ 0 and t ≥ 0, the<br />
inter-temporal social welfare function.<br />
(t a ,t)=<br />
∫ ∞<br />
0<br />
e −ρτ ϕ(t a ,t)dτ