Economic Models - Convex Optimization
Economic Models - Convex Optimization
Economic Models - Convex Optimization
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Cheap-talk Multiple Equilibria and Pareto 115<br />
Whenever π 0 π s lies in the following<br />
fact: The “deviation costs” that the regulator will have to accept initially in<br />
order to steer the system towards the more favorable E U are so high that the<br />
net benefit of going to E U would be less than the one obtained by letting<br />
the system optimally converge towards the inferior E L .<br />
The above results suggest that the policy of an environmental regulator<br />
maybe very different depending on the fraction of the population that trusts<br />
it when it initiates a new policy. If the initial confidence is high, the costs of<br />
building a large fraction of Bs are compensated in the long-run by accrued<br />
benefits. However, if the regulator’s trustworthiness is low from the onset,<br />
its interest is to exploit its initial credibility for making short-term gains,<br />
although this ultimately leads to an inferior situation where nobody trusts<br />
the regulator.<br />
As already mentioned, the dynamics of the canonical system Eqs. (6)–<br />
(23) at the unstable middle equilibrium E M form a spiral. Therefore, the<br />
threshold value π s is typically close to, but distinct from π M (i.e., π M ̸= π s )<br />
and the threshold takes the particularly challenging form of a Skiba point.<br />
No local analytical expression exists that characterizes a Skiba point. Thus,<br />
Skiba points must be computed numerically. This was not done in this paper.<br />
For a reference article on thresholds and Skiba points in economic models,<br />
see Deissenberg et al. (2004).<br />
5. Sensitivity Analysis and Bifurcations Towards<br />
a Unique Equilibrium<br />
Numerical analyses show that an increase in the firms’ flexibility (i.e., an<br />
increase in β) shifts the stable equilibrium E U to the right and the unstable