Economic Models - Convex Optimization
Economic Models - Convex Optimization
Economic Models - Convex Optimization
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112 Chirstophe Deissenberg and Pavel Ševčík<br />
The first order maximization condition with respect to t a and t yields<br />
for the dynamically optimal values*<br />
t a∗ = (p − c x) + [c x (3 − 2π) + 1](1 + c x ) 2<br />
, (21)<br />
(1 + 3c x )[βλ(1 − π) + K]<br />
with<br />
t ∗ = (p − c x) + 2c x (1 + c x )π[c x (βλ(1 + 3c x )(1 − π) + 1)]<br />
(1 + 3c x )[βπ(1 − π) + K]<br />
K = 1 − 6c 3 x β2 λ 2 (1 − π) 2 π + 2c x [2 + 2βλ(1 − π)π]<br />
+ cx 2 [3 − 2π + βλ(1 − π)(3 − 2βλ(1 − π)π)]. (22)<br />
According to Pontriagin’s maximum principle, an optimal solution<br />
(π(τ), (λ)) has to satisfy the state dynamics (6), evaluated at (t a∗ ,t ∗ ) plus:<br />
˙λ = ρλ − ∂H(ta∗ (π, λ), t ∗ (π, λ), π, λ)<br />
(23)<br />
∂π<br />
0 = lim<br />
τ→∞ e−ρτ λ(τ). (24)<br />
Due to the highly non-linear structure of the optimization problem an<br />
explicit derivation of the optimal (π(τ), λ(τ)) seems infeasible. Hence, we<br />
used Mathematica r○ to carry out a numerical analysis of the canonical<br />
system Eqs. (6)–(23) in order to shed light on the optimal solution.<br />
4.2. Numerical Results<br />
Depending upon the parameter values, the model can have either two stable<br />
equilibria separated by a so-called Skiba point, or a unique stable equilibrium.We<br />
discuss first the more interesting case of multiple equilibria, before<br />
carrying a summary of sensitivity analysis and briefly addressing the question<br />
of the bifurcations, leading to a situation with a situation with unique<br />
equilibrium. Unless and otherwise specified, the results presented pertain<br />
to the reference parameter configuration c x = 0.6, p = 2, δ = 0.00025 that<br />
underlies Fig. 1, together with ρ = 1, 0.0015. These are robust, with respect<br />
to sufficiently small parameter variations: The same qualitative insights<br />
would be obtained for a compact set of alternative parameter configurations.<br />
From the onset, let us stress the fundamental mechanism that underlies<br />
most of the results. Ceteris paribus, R would like to face as many Bs as<br />
possible, since dφ/dπ >0. If the prediction costs δ are sufficiently high,<br />
the profit difference g NB$ − g B$ see Eq. (18), will be negative at the current