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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

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