Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output...

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Lecture 1: Basic Models of Growth Eugenio Proto February 18, 2009 Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 1 / 12

Transcript of Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output...

Page 1: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Lecture 1: Basic Models of Growth

Eugenio Proto

February 18, 2009

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 1 / 12

Page 2: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Some Kaldor�s Fact

1 Per Capita output grows over time, and its growth rate does not tendto diminish

2 Physical Capital per worker grows over time3 The growth rate of output per worker di¤ers substantially acrosscountries

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 2 / 12

Page 3: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Some Kaldor�s Fact

1 Per Capita output grows over time, and its growth rate does not tendto diminish

2 Physical Capital per worker grows over time

3 The growth rate of output per worker di¤ers substantially acrosscountries

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 2 / 12

Page 4: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Some Kaldor�s Fact

1 Per Capita output grows over time, and its growth rate does not tendto diminish

2 Physical Capital per worker grows over time3 The growth rate of output per worker di¤ers substantially acrosscountries

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 2 / 12

Page 5: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Di¤erent paths of Growth

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1950

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UnitedStatesSpain

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Kaldor facts do not apply to stagnating countriesMacroeconomic growth consider growing countriesDevelopment and growth proceed ed separatelyGenerating a unique model for growth and development is still faraway

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 3 / 12

Page 6: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Di¤erent paths of Growth

0

10000

20000

30000

40000

50000

60000

70000

80000

1950

1954

1958

1962

1966

1970

1974

1978

1982

1986

1990

1994

1998

2002

UnitedStatesSpain

Argentina

Kaldor facts do not apply to stagnating countries

Macroeconomic growth consider growing countriesDevelopment and growth proceed ed separatelyGenerating a unique model for growth and development is still faraway

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 3 / 12

Page 7: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Di¤erent paths of Growth

0

10000

20000

30000

40000

50000

60000

70000

80000

1950

1954

1958

1962

1966

1970

1974

1978

1982

1986

1990

1994

1998

2002

UnitedStatesSpain

Argentina

Kaldor facts do not apply to stagnating countriesMacroeconomic growth consider growing countries

Development and growth proceed ed separatelyGenerating a unique model for growth and development is still faraway

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 3 / 12

Page 8: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Di¤erent paths of Growth

0

10000

20000

30000

40000

50000

60000

70000

80000

1950

1954

1958

1962

1966

1970

1974

1978

1982

1986

1990

1994

1998

2002

UnitedStatesSpain

Argentina

Kaldor facts do not apply to stagnating countriesMacroeconomic growth consider growing countriesDevelopment and growth proceed ed separately

Generating a unique model for growth and development is still faraway

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 3 / 12

Page 9: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Di¤erent paths of Growth

0

10000

20000

30000

40000

50000

60000

70000

80000

1950

1954

1958

1962

1966

1970

1974

1978

1982

1986

1990

1994

1998

2002

UnitedStatesSpain

Argentina

Kaldor facts do not apply to stagnating countriesMacroeconomic growth consider growing countriesDevelopment and growth proceed ed separatelyGenerating a unique model for growth and development is still faraway

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 3 / 12

Page 10: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Ramsey-Samuelson model

Household behavior

size: L(t) = ent

Utility U =R ∞0 u[c(t)]L(t)e

�ρtdtper cap. wealth acc.: a = w + ra� c � nano ponzi game: limt!∞fa(t) exp[�

R t0 [r(v)� n]dvg � 0

Firms�Behavior

Y = F (K , L) with L = L(t)T (t)increasing and concave in K and L,Constant Return to scale:

F (λK ,λL) = λF (K , L)

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 4 / 12

Page 11: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Ramsey-Samuelson model

Household behavior

size: L(t) = ent

Utility U =R ∞0 u[c(t)]L(t)e

�ρtdtper cap. wealth acc.: a = w + ra� c � nano ponzi game: limt!∞fa(t) exp[�

R t0 [r(v)� n]dvg � 0

Firms�Behavior

Y = F (K , L) with L = L(t)T (t)increasing and concave in K and L,Constant Return to scale:

F (λK ,λL) = λF (K , L)

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 4 / 12

Page 12: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Ramsey-Samuelson model

Household behavior

size: L(t) = ent

Utility U =R ∞0 u[c(t)]L(t)e

�ρtdt

per cap. wealth acc.: a = w + ra� c � nano ponzi game: limt!∞fa(t) exp[�

R t0 [r(v)� n]dvg � 0

Firms�Behavior

Y = F (K , L) with L = L(t)T (t)increasing and concave in K and L,Constant Return to scale:

F (λK ,λL) = λF (K , L)

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 4 / 12

Page 13: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Ramsey-Samuelson model

Household behavior

size: L(t) = ent

Utility U =R ∞0 u[c(t)]L(t)e

�ρtdtper cap. wealth acc.: a = w + ra� c � na

no ponzi game: limt!∞fa(t) exp[�R t0 [r(v)� n]dvg � 0

Firms�Behavior

Y = F (K , L) with L = L(t)T (t)increasing and concave in K and L,Constant Return to scale:

F (λK ,λL) = λF (K , L)

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 4 / 12

Page 14: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Ramsey-Samuelson model

Household behavior

size: L(t) = ent

Utility U =R ∞0 u[c(t)]L(t)e

�ρtdtper cap. wealth acc.: a = w + ra� c � nano ponzi game: limt!∞fa(t) exp[�

R t0 [r(v)� n]dvg � 0

Firms�Behavior

Y = F (K , L) with L = L(t)T (t)increasing and concave in K and L,Constant Return to scale:

F (λK ,λL) = λF (K , L)

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 4 / 12

Page 15: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Ramsey-Samuelson model

Household behavior

size: L(t) = ent

Utility U =R ∞0 u[c(t)]L(t)e

�ρtdtper cap. wealth acc.: a = w + ra� c � nano ponzi game: limt!∞fa(t) exp[�

R t0 [r(v)� n]dvg � 0

Firms�Behavior

Y = F (K , L) with L = L(t)T (t)increasing and concave in K and L,Constant Return to scale:

F (λK ,λL) = λF (K , L)

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 4 / 12

Page 16: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Ramsey-Samuelson model

Household behavior

size: L(t) = ent

Utility U =R ∞0 u[c(t)]L(t)e

�ρtdtper cap. wealth acc.: a = w + ra� c � nano ponzi game: limt!∞fa(t) exp[�

R t0 [r(v)� n]dvg � 0

Firms�Behavior

Y = F (K , L) with L = L(t)T (t)

increasing and concave in K and L,Constant Return to scale:

F (λK ,λL) = λF (K , L)

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 4 / 12

Page 17: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Ramsey-Samuelson model

Household behavior

size: L(t) = ent

Utility U =R ∞0 u[c(t)]L(t)e

�ρtdtper cap. wealth acc.: a = w + ra� c � nano ponzi game: limt!∞fa(t) exp[�

R t0 [r(v)� n]dvg � 0

Firms�Behavior

Y = F (K , L) with L = L(t)T (t)increasing and concave in K and L,

Constant Return to scale:

F (λK ,λL) = λF (K , L)

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 4 / 12

Page 18: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Ramsey-Samuelson model

Household behavior

size: L(t) = ent

Utility U =R ∞0 u[c(t)]L(t)e

�ρtdtper cap. wealth acc.: a = w + ra� c � nano ponzi game: limt!∞fa(t) exp[�

R t0 [r(v)� n]dvg � 0

Firms�Behavior

Y = F (K , L) with L = L(t)T (t)increasing and concave in K and L,Constant Return to scale:

F (λK ,λL) = λF (K , L)

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 4 / 12

Page 19: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Static Equilibria

Household Optimal choice:

maxcU(c)

w + ra� c � na � 0

limfa(t) exp[�Z t

0[r(v)� n]dvg � 0

Euler Condition

r = ρ+ [�u00(c)cu0(c)

] � ˙c/c

with u(c) = c1�θ�11�θ (CIES):

˙c/c = (1/θ)(r � ρ)

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 5 / 12

Page 20: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Static Equilibria

Household Optimal choice:

maxcU(c)

w + ra� c � na � 0

limfa(t) exp[�Z t

0[r(v)� n]dvg � 0

Euler Condition

r = ρ+ [�u00(c)cu0(c)

] � ˙c/c

with u(c) = c1�θ�11�θ (CIES):

˙c/c = (1/θ)(r � ρ)

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 5 / 12

Page 21: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Static Equilibria

Household Optimal choice:

maxcU(c)

w + ra� c � na � 0

limfa(t) exp[�Z t

0[r(v)� n]dvg � 0

Euler Condition

r = ρ+ [�u00(c)cu0(c)

] � ˙c/c

with u(c) = c1�θ�11�θ (CIES):

˙c/c = (1/θ)(r � ρ)

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 5 / 12

Page 22: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Static Equilibrium (cont�d)

Firms�optimal Choice

maxF (K , L)� (r + δ)K � wL =

max f (k)� (r + δ)k � wT (t)

FOCsf 0(k) = r + δ

[f (k)� k f 0(k)]ext = w

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 6 / 12

Page 23: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Static Equilibrium (cont�d)

Firms�optimal Choice

maxF (K , L)� (r + δ)K � wL =

max f (k)� (r + δ)k � wT (t)

FOCsf 0(k) = r + δ

[f (k)� k f 0(k)]ext = w

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 6 / 12

Page 24: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Steady state

Dynamics (k = a )

˙k = f (k)� c � (x + n+ δ)k˙c/c = (1/θ)(f 0(k)� δ� ρ� θx)

limfa(t) exp[�Z t

0[r(v)� n]dvg = 0

Equilibrium

˙c = 0! f 0(k�) = δ+ ρ+ θx˙k = 0! c� = f (k�)� (x + n+ δ)k�

with˙yy= α

˙kk= 0

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 7 / 12

Page 25: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Steady state

Dynamics (k = a )

˙k = f (k)� c � (x + n+ δ)k˙c/c = (1/θ)(f 0(k)� δ� ρ� θx)

limfa(t) exp[�Z t

0[r(v)� n]dvg = 0

Equilibrium

˙c = 0! f 0(k�) = δ+ ρ+ θx˙k = 0! c� = f (k�)� (x + n+ δ)k�

with˙yy= α

˙kk= 0

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 7 / 12

Page 26: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Steady state analysis

Growth in steady state

˙cc

=∂�C (t)e (n+x )t

�∂t

/C (t)e(n+x )t

= c � x = 0

˙kk

=∂�K (t)e (n+x )t

�∂t

/K (t)e(n+x )t

= k � x = 0

˙yy

= y � x = α˙kk= 0

y (per capita income) in steady state grows with T (t) = ext

GROWTH IS EXOGENOUS

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 8 / 12

Page 27: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Steady state analysis

Growth in steady state

˙cc

=∂�C (t)e (n+x )t

�∂t

/C (t)e(n+x )t

= c � x = 0

˙kk

=∂�K (t)e (n+x )t

�∂t

/K (t)e(n+x )t

= k � x = 0

˙yy

= y � x = α˙kk= 0

y (per capita income) in steady state grows with T (t) = ext

GROWTH IS EXOGENOUS

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 8 / 12

Page 28: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

AK model

Consumer behavior exactly as in Ramsey

Firms behavior and static equilibrium

Y = AK

y = f (k) = Ak

capital = human capital, knowledge, public good...no raw labour , w = 0r = A� δ

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 9 / 12

Page 29: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

AK model

Consumer behavior exactly as in Ramsey

Firms behavior and static equilibrium

Y = AK

y = f (k) = Ak

capital = human capital, knowledge, public good...no raw labour , w = 0r = A� δ

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 9 / 12

Page 30: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

AK model

Consumer behavior exactly as in Ramsey

Firms behavior and static equilibrium

Y = AK

y = f (k) = Ak

capital = human capital, knowledge, public good...

no raw labour , w = 0r = A� δ

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 9 / 12

Page 31: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

AK model

Consumer behavior exactly as in Ramsey

Firms behavior and static equilibrium

Y = AK

y = f (k) = Ak

capital = human capital, knowledge, public good...no raw labour , w = 0

r = A� δ

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 9 / 12

Page 32: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

AK model

Consumer behavior exactly as in Ramsey

Firms behavior and static equilibrium

Y = AK

y = f (k) = Ak

capital = human capital, knowledge, public good...no raw labour , w = 0r = A� δ

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 9 / 12

Page 33: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

AK modelSteady state

Dynamics (k = a )

k = (A� δ� n)� c/kc/c = (1/θ)(A� δ� ρ)

limfk(t)e�(A�δ�ρ)tg = 0

Equilibrium

c/c = cons

k/k = c/cy/y = k/k = cons

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 10 / 12

Page 34: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

AK modelSteady state

Dynamics (k = a )

k = (A� δ� n)� c/kc/c = (1/θ)(A� δ� ρ)

limfk(t)e�(A�δ�ρ)tg = 0

Equilibrium

c/c = cons

k/k = c/cy/y = k/k = cons

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 10 / 12

Page 35: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Model with Human capital

Firms produceY = F (H,K ),

let Y = Kf (H/K )

Market determines RH ,RKDepreciation rates δH , δK

In equilibrium

f (H/K )� f 0(H/K )(1+H/K ) = δK � δH

unique value for H/K .De�ne A = f (H/K ) and we obtain a AK model

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 11 / 12

Page 36: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Model with Human capital

Firms produceY = F (H,K ),

let Y = Kf (H/K )

Market determines RH ,RKDepreciation rates δH , δK

In equilibrium

f (H/K )� f 0(H/K )(1+H/K ) = δK � δH

unique value for H/K .De�ne A = f (H/K ) and we obtain a AK model

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 11 / 12

Page 37: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Model with Human capital

Firms produceY = F (H,K ),

let Y = Kf (H/K )

Market determines RH ,RK

Depreciation rates δH , δK

In equilibrium

f (H/K )� f 0(H/K )(1+H/K ) = δK � δH

unique value for H/K .De�ne A = f (H/K ) and we obtain a AK model

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 11 / 12

Page 38: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Model with Human capital

Firms produceY = F (H,K ),

let Y = Kf (H/K )

Market determines RH ,RKDepreciation rates δH , δK

In equilibrium

f (H/K )� f 0(H/K )(1+H/K ) = δK � δH

unique value for H/K .De�ne A = f (H/K ) and we obtain a AK model

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 11 / 12

Page 39: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Model with Human capital

Firms produceY = F (H,K ),

let Y = Kf (H/K )

Market determines RH ,RKDepreciation rates δH , δK

In equilibrium

f (H/K )� f 0(H/K )(1+H/K ) = δK � δH

unique value for H/K .

De�ne A = f (H/K ) and we obtain a AK model

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 11 / 12

Page 40: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Model with Human capital

Firms produceY = F (H,K ),

let Y = Kf (H/K )

Market determines RH ,RKDepreciation rates δH , δK

In equilibrium

f (H/K )� f 0(H/K )(1+H/K ) = δK � δH

unique value for H/K .De�ne A = f (H/K ) and we obtain a AK model

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 11 / 12

Page 41: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Model with learning by doing and spillover

Yi = F (Ki ,KLi ) = LiF (ki ,K )

K is the aggregate (physical or human) capital, since ki = k thenK = kL

F (k,K )/k = f (K/k) = f (L) and

F1(k,K ) = f (K/k)� f 0(K/k)Kk2iki = f (L)� f 0(L)L

private marginal product of capital is non decreasing in k..

c/c = (1/θ)[f (L)� Lf 0(L)� δ� ρ] constant

Generates long run growth

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 12 / 12

Page 42: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Model with learning by doing and spillover

Yi = F (Ki ,KLi ) = LiF (ki ,K )

K is the aggregate (physical or human) capital, since ki = k thenK = kL

F (k,K )/k = f (K/k) = f (L) and

F1(k,K ) = f (K/k)� f 0(K/k)Kk2iki = f (L)� f 0(L)L

private marginal product of capital is non decreasing in k..

c/c = (1/θ)[f (L)� Lf 0(L)� δ� ρ] constant

Generates long run growth

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 12 / 12

Page 43: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Model with learning by doing and spillover

Yi = F (Ki ,KLi ) = LiF (ki ,K )

K is the aggregate (physical or human) capital, since ki = k thenK = kL

F (k,K )/k = f (K/k) = f (L) and

F1(k,K ) = f (K/k)� f 0(K/k)Kk2iki = f (L)� f 0(L)L

private marginal product of capital is non decreasing in k..

c/c = (1/θ)[f (L)� Lf 0(L)� δ� ρ] constant

Generates long run growth

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 12 / 12

Page 44: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Model with learning by doing and spillover

Yi = F (Ki ,KLi ) = LiF (ki ,K )

K is the aggregate (physical or human) capital, since ki = k thenK = kL

F (k,K )/k = f (K/k) = f (L) and

F1(k,K ) = f (K/k)� f 0(K/k)Kk2iki = f (L)� f 0(L)L

private marginal product of capital is non decreasing in k..

c/c = (1/θ)[f (L)� Lf 0(L)� δ� ρ] constant

Generates long run growth

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 12 / 12

Page 45: Lecture 1: Basic Models of Growth - University of WarwickSome Kaldor™s Fact 1 Per Capita output grows over time, and its growth rate does not tend to diminish 2 Physical Capital

Model with learning by doing and spillover

Yi = F (Ki ,KLi ) = LiF (ki ,K )

K is the aggregate (physical or human) capital, since ki = k thenK = kL

F (k,K )/k = f (K/k) = f (L) and

F1(k,K ) = f (K/k)� f 0(K/k)Kk2iki = f (L)� f 0(L)L

private marginal product of capital is non decreasing in k..

c/c = (1/θ)[f (L)� Lf 0(L)� δ� ρ] constant

Generates long run growth

Eugenio Proto () Lecture 1: Basic Models of Growth February 18, 2009 12 / 12