16.08.2013 Views

Dynamic Macroeconomic Modeling with Matlab

Dynamic Macroeconomic Modeling with Matlab

Dynamic Macroeconomic Modeling with Matlab

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

4 Numerical Simulation of <strong>Macroeconomic</strong> Models<br />

Due to scale adjustment, balanced growth solutions represented by equations (56), (57) and<br />

(58) now turn into stationary points of system (59) - (62). 1 Therefore, the system exhibits<br />

a curve of stationary equilibria (see Figure 8). This means that a unique trajectory is given<br />

by initial values of physical and human capital. However, the final steady state, to which the<br />

economy converges, is not unique but depends on the initial values of physical and human<br />

capital.<br />

h e<br />

h<br />

1.5<br />

1<br />

0.5<br />

0<br />

0 0.5 1 1.5 2 2.5 3<br />

1.5<br />

1<br />

−ψµt CSE<br />

0.5<br />

Unscaled Variables<br />

Scaled Variables<br />

0<br />

0 0.5 1 1.5 2 2.5 3<br />

k<br />

k e −µt<br />

Figure 8: Phase diagram of the Lucas model<br />

Numerical computation employing the relaxation algorithm requires the solution of the sys-<br />

tem of differential equations (59) - (62) <strong>with</strong> two initial conditions and two final conditions.<br />

The initial conditions are given by the initial values of state variables k(0) = k0, h(0) = h0. Fi-<br />

nal conditions should ensure convergence towards the center manifold given by equations (56),<br />

1 It is straightforward to verify that the right hand sides of system (59) - (62) are linearly dependent, and that<br />

equations (56), (57) and (58) are the only solution.<br />

BGP

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!