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Methods of dynamical systems theory in modelling economic growth Adam Krawiec Institute of Public Affairs, Jagiellonian University M. Kac Complex Systems Research Centre, Jagiellonian University FENS, Krak ´ ow, 22 April 2006 Methods of dynamical systems theory in modelling economic growth – p. 1

Methods of dynamical systems theory in modelling economic ... · Qualitative analysis of dynamical systems Eigenvalues λ1,2 = trB ± p (trB)2 −4detB 2. For real eigenvalues (the

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Page 1: Methods of dynamical systems theory in modelling economic ... · Qualitative analysis of dynamical systems Eigenvalues λ1,2 = trB ± p (trB)2 −4detB 2. For real eigenvalues (the

Methods of dynamical systemstheory in modelling economic growth

Adam Krawiec

Institute of Public Affairs, Jagiellonian University

M. Kac Complex Systems Research Centre, Jagiellonian University

FENS, Krakow, 22 April 2006

Methods of dynamical systems theory in modelling economic growth – p. 1

Page 2: Methods of dynamical systems theory in modelling economic ... · Qualitative analysis of dynamical systems Eigenvalues λ1,2 = trB ± p (trB)2 −4detB 2. For real eigenvalues (the

Qualitative analysis of dynamical systems

The two-dimensional dynamical system is given by

x = P (x, y), y = Q(x, y).

Critical points are defined as P (x, y) = Q(x, y) = 0.The character of a critical point is determined byeigenvalues of the linearization matrix of the system

B =

[

∂P∂x (x0, y0)

∂P∂y (x0, y0)

∂Q∂x (x0, y0)

∂Q∂y (x0, y0)

]

Eigenvalues λ are solutions of the characteristic equation

λ2 − (trB)λ + det B = 0

Methods of dynamical systems theory in modelling economic growth – p. 2

Page 3: Methods of dynamical systems theory in modelling economic ... · Qualitative analysis of dynamical systems Eigenvalues λ1,2 = trB ± p (trB)2 −4detB 2. For real eigenvalues (the

Qualitative analysis of dynamical systems

Eigenvalues

λ1,2 =tr B ±

(tr B)2 − 4 det B

2.

For real eigenvalues (the discriminant is positive orzero)a node (eigenvalues of the same sign det B > 0)a saddle (eigenvalues of different signs det B < 0).

For complex eigenvalues (the discriminant is negative)a focus (Re λ 6= 0) or a centre (Re λ = 0).

Depending on the sign of trace of linearization matrix nodesand focuses can be stable (tr B < 0) or unstable (tr B > 0).

Methods of dynamical systems theory in modelling economic growth – p. 3

Page 4: Methods of dynamical systems theory in modelling economic ... · Qualitative analysis of dynamical systems Eigenvalues λ1,2 = trB ± p (trB)2 −4detB 2. For real eigenvalues (the

Punkty krytyczne i cykl graniczny

� �

� �

Methods of dynamical systems theory in modelling economic growth – p. 4

Page 5: Methods of dynamical systems theory in modelling economic ... · Qualitative analysis of dynamical systems Eigenvalues λ1,2 = trB ± p (trB)2 −4detB 2. For real eigenvalues (the

Production function

The production function depends on physical capital K,labour L, and knowledge A

Y (t) = F (K(t), A(t)L(t)).

Capital are produced according to the Cobb-Douglassproduction function

Y (t) = Kα(AL)1−α, 0 < α < 1.

If we use quantities per unit of effective labour AL, thenwe have got

y(t) = kα.

Methods of dynamical systems theory in modelling economic growth – p. 5

Page 6: Methods of dynamical systems theory in modelling economic ... · Qualitative analysis of dynamical systems Eigenvalues λ1,2 = trB ± p (trB)2 −4detB 2. For real eigenvalues (the

Solow model of economic growth

The equation for capital accumulation is given by

K = sY (t) − δK(t)

Labour and knowledge change as follows

L

L= n,

A

A= g.

Finally, the Solow model is given as

k = skα − (n + g + δ)k.

Methods of dynamical systems theory in modelling economic growth – p. 6

Page 7: Methods of dynamical systems theory in modelling economic ... · Qualitative analysis of dynamical systems Eigenvalues λ1,2 = trB ± p (trB)2 −4detB 2. For real eigenvalues (the

Model of growth with human capital

The production function depends on physical capital K,human capital H, labour L, and knowledge A

Y (t) = F (K(t), H(t), A(t)L(t)).

Labour and knowledge change as follows

L

L= n,

A

A= g + µ

K

K+ ν

H

H

Both kinds of capital are produced according to theCobb-Douglass production function (in effective labourAL unit)

y(t) = kαhβ, 0 < α + β < 1.

Methods of dynamical systems theory in modelling economic growth – p. 7

Page 8: Methods of dynamical systems theory in modelling economic ... · Qualitative analysis of dynamical systems Eigenvalues λ1,2 = trB ± p (trB)2 −4detB 2. For real eigenvalues (the

Capital dependent knowledge

The model has the form of a dynamical system

k = (1 − µ)skkαhβ − νshkα+1hβ−1 − [(1 − µ − ν)δ + n + g]k

h = (1 − ν)shkαhβ − µskkα−1hβ+1 − [(1 − µ − ν)δ + n + g]h

There are at least two critical points in finite domain ofphase space:

the saddle (located at the origin: k = 0, h = 0)

the stable node (for different values of the parametersthe node is located on the the line k ∝ h).

Methods of dynamical systems theory in modelling economic growth – p. 8

Page 9: Methods of dynamical systems theory in modelling economic ... · Qualitative analysis of dynamical systems Eigenvalues λ1,2 = trB ± p (trB)2 −4detB 2. For real eigenvalues (the

The phase portrait

0

0.1

0.2

0.3

0.4

0.5

0.6

h

0 0.2 0.4 0.6 0.8k

Methods of dynamical systems theory in modelling economic growth – p. 9

Page 10: Methods of dynamical systems theory in modelling economic ... · Qualitative analysis of dynamical systems Eigenvalues λ1,2 = trB ± p (trB)2 −4detB 2. For real eigenvalues (the

Model with Exogenous Knowledge

Let knowledge grows at constant rate

A

A= g.

The capital accumulation is given

k = f(k(t)) − c − (g + n + δ)k(t).

Households choose such a level of consumption over timeto maximise their utility function

U =

0e−ρtu(C(t))dt

where ρ is a discount rate.Methods of dynamical systems theory in modelling economic growth – p. 10

Page 11: Methods of dynamical systems theory in modelling economic ... · Qualitative analysis of dynamical systems Eigenvalues λ1,2 = trB ± p (trB)2 −4detB 2. For real eigenvalues (the

Model with Exogenous Knowledge

We assume

the Cobb-Douglas production function f(k) = kα

and the CRRA utility function u(c(t)) = c(t)1−σ

1−σ .

We solve the maximisation problem and obtain

k = kα − c − (δ + g + n)k

c =c

σ(αkα−1 − δ − g − n − ρ).

There are three critical points:the unstable node, the stable node, and the saddle.

Methods of dynamical systems theory in modelling economic growth – p. 11

Page 12: Methods of dynamical systems theory in modelling economic ... · Qualitative analysis of dynamical systems Eigenvalues λ1,2 = trB ± p (trB)2 −4detB 2. For real eigenvalues (the

The phase portrait 2a

0

0.5

1

1.5

2

2.5

3

c

0 5 10 15 20 25 30 35 40 45 50k

Methods of dynamical systems theory in modelling economic growth – p. 12

Page 13: Methods of dynamical systems theory in modelling economic ... · Qualitative analysis of dynamical systems Eigenvalues λ1,2 = trB ± p (trB)2 −4detB 2. For real eigenvalues (the

Endogenous technological progress

Let the rate of growth of physical capital has influence onknowledge

A

A= g + µ

K

K.

The optimisation procedure gives the two-dimensionaldynamical system

k = (1 − µ)kα − (1 − µ)c − [(1 − µ)δ + g + n]k

c =c

σ[α(1 − µ)kα−1 − (1 − µ)δ − g − n − ρ].

There are three critical points:the unstable node, the stable node, and the saddle.

Methods of dynamical systems theory in modelling economic growth – p. 13

Page 14: Methods of dynamical systems theory in modelling economic ... · Qualitative analysis of dynamical systems Eigenvalues λ1,2 = trB ± p (trB)2 −4detB 2. For real eigenvalues (the

Phase portrait 2b

0

0.5

1

1.5

2

2.5

3

c

0 5 10 15 20 25 30 35 40k

Methods of dynamical systems theory in modelling economic growth – p. 14

Page 15: Methods of dynamical systems theory in modelling economic ... · Qualitative analysis of dynamical systems Eigenvalues λ1,2 = trB ± p (trB)2 −4detB 2. For real eigenvalues (the

Ratio of rates of growth of K, C, Y

RX =

g+n1−µ

g + n=

1

1 − µ

The ratio of rates of growthof capital K, consumption C,output Y in these two modelsdepends only on the parame-ter µ.For µ = 0.2 the rate of growthis 25% higher,for µ = 0.5 the rate of growthis 2 times higher.

0.0 0.2 0.4 0.6 0.8 1.0

02

46

810

µ

ratio

of r

ates

of g

row

th

Methods of dynamical systems theory in modelling economic growth – p. 15

Page 16: Methods of dynamical systems theory in modelling economic ... · Qualitative analysis of dynamical systems Eigenvalues λ1,2 = trB ± p (trB)2 −4detB 2. For real eigenvalues (the

Ratio of rates of growth of k, c, y

RX/L =

g+µn1−µ

g=

g + µn

g(1 − µ).

The ratio of rates of growth ofper capita capital k, consump-tion c, output y depends on µ,n and g.When g = nµ = 1/3 the rate of growth is 2times higher,µ = 2/3 the rate of growth is 5times higher.

0.0 0.2 0.4 0.6 0.8 1.0

05

1015

20µ

ratio

of r

ates

of g

row

th

Methods of dynamical systems theory in modelling economic growth – p. 16

Page 17: Methods of dynamical systems theory in modelling economic ... · Qualitative analysis of dynamical systems Eigenvalues λ1,2 = trB ± p (trB)2 −4detB 2. For real eigenvalues (the

Conclusions

We assume that the rate of change of knowledge candepend on both the rate of change of physical andhuman capital. The dynamics of these models wasinvestigated in terms of dynamical system theory.

We considered the simple model with knowledgedependent on the rate of change of physical and humancapital, and studied the qualitative dynamics of themodel on the phase portrait.

We compared the Ramsey model of optimal economicgrowth and the model with knowledge dependent onphysical capital. We found higher values of rates ofchange of the phase variables at the stationaryequilibrium in the latter model.

Methods of dynamical systems theory in modelling economic growth – p. 17