dynamic programming in economic models neoclassical growth model bellman equation dr. keshab r...
TRANSCRIPT
![Page 1: Dynamic Programming in Economic Models Neoclassical Growth Model Bellman Equation Dr. Keshab R Bhattarai Business School, University of Hull](https://reader036.vdocuments.mx/reader036/viewer/2022082604/5515f2d7550346cf6f8b54d9/html5/thumbnails/1.jpg)
Dynamic Programming in Economic ModelsNeoclassical Growth Model
Bellman Equation
Dr. Keshab R Bhattarai
Business School, University of Hull
![Page 2: Dynamic Programming in Economic Models Neoclassical Growth Model Bellman Equation Dr. Keshab R Bhattarai Business School, University of Hull](https://reader036.vdocuments.mx/reader036/viewer/2022082604/5515f2d7550346cf6f8b54d9/html5/thumbnails/2.jpg)
Keshab Bhattarai 2
Neo-classical Growth Model: Current Value Hamiltonian
Preference: dtC
e tt
0
1
1
Technology: 1
tttt NKAY assume 1tA 1tN
Capital accumulation: ttttt KCNYK
Current value Hamiltonian of this problem
1
1
1,,
tttt KCKC
KcH
(1)
C is control, K is state variable, is co-state variable.
![Page 3: Dynamic Programming in Economic Models Neoclassical Growth Model Bellman Equation Dr. Keshab R Bhattarai Business School, University of Hull](https://reader036.vdocuments.mx/reader036/viewer/2022082604/5515f2d7550346cf6f8b54d9/html5/thumbnails/3.jpg)
Keshab Bhattarai 3
Optimality and Boundary Conditions
First order conditions
0
tC
H ttC
(2)
t
ttt K
H
1tttt K
(3)
ttttt KCNKK (4)
Transversality condition
0
tt
t Ken
Lim
(5)
![Page 4: Dynamic Programming in Economic Models Neoclassical Growth Model Bellman Equation Dr. Keshab R Bhattarai Business School, University of Hull](https://reader036.vdocuments.mx/reader036/viewer/2022082604/5515f2d7550346cf6f8b54d9/html5/thumbnails/4.jpg)
Keshab Bhattarai 4
Characterisation of the Balanced Growth Path Capital stock, consumption and the shadow price of capital remain constant in the
balanced growth path cgC
C
; KgK
K
and
g
t
t
. From (3)
1
tt
t K
t
ttK
1
(6)
Since the RHS is constant , therefore LHS also should be constant 0K
K . If capital stock
is not growing output is not growing 0Y
Y and consumption is not growing 0C
C .
From (2) t
t
t
t
C
C
0t
t
(7)
![Page 5: Dynamic Programming in Economic Models Neoclassical Growth Model Bellman Equation Dr. Keshab R Bhattarai Business School, University of Hull](https://reader036.vdocuments.mx/reader036/viewer/2022082604/5515f2d7550346cf6f8b54d9/html5/thumbnails/5.jpg)
Keshab Bhattarai 5
Transitional Dynamics-1Transitional Dynamics-1In tt K, space the transition dynamics of the shadowprice t relative to the steady
state capital stock is that 0t 0t 0t
t K*
1
1
* K
![Page 6: Dynamic Programming in Economic Models Neoclassical Growth Model Bellman Equation Dr. Keshab R Bhattarai Business School, University of Hull](https://reader036.vdocuments.mx/reader036/viewer/2022082604/5515f2d7550346cf6f8b54d9/html5/thumbnails/6.jpg)
Keshab Bhattarai 6
Transitional Dynamics-2
'* KKK . 0K
0K
0K
*K 'K K
![Page 7: Dynamic Programming in Economic Models Neoclassical Growth Model Bellman Equation Dr. Keshab R Bhattarai Business School, University of Hull](https://reader036.vdocuments.mx/reader036/viewer/2022082604/5515f2d7550346cf6f8b54d9/html5/thumbnails/7.jpg)
Keshab Bhattarai 7
Transitional Dynamics-2
'* KKK . 0K
0K
0K
*K 'K K
![Page 8: Dynamic Programming in Economic Models Neoclassical Growth Model Bellman Equation Dr. Keshab R Bhattarai Business School, University of Hull](https://reader036.vdocuments.mx/reader036/viewer/2022082604/5515f2d7550346cf6f8b54d9/html5/thumbnails/8.jpg)
Keshab Bhattarai 8
Saddle Point SolutionPutting all these things together the convergence to the steady state can be summarised inthe following diagram.
0K
0
I II
IV
III
*K 'K KConvergence to the steady state lies in region I and III as shown by the double arrow redline.
![Page 9: Dynamic Programming in Economic Models Neoclassical Growth Model Bellman Equation Dr. Keshab R Bhattarai Business School, University of Hull](https://reader036.vdocuments.mx/reader036/viewer/2022082604/5515f2d7550346cf6f8b54d9/html5/thumbnails/9.jpg)
Keshab Bhattarai 9
ttt AKCK 1
t
tt CUMax ln 10
Subject to
10
KVCKV 01 ln
Brock-Mirman(1972)dynamic programming problemBellman’s Equations
Value function
![Page 10: Dynamic Programming in Economic Models Neoclassical Growth Model Bellman Equation Dr. Keshab R Bhattarai Business School, University of Hull](https://reader036.vdocuments.mx/reader036/viewer/2022082604/5515f2d7550346cf6f8b54d9/html5/thumbnails/10.jpg)
Keshab Bhattarai 10
Solution by IterationFirst and Second Iteration of the Value function
01 tK
KAAKCKV lnlnlnln1
KAKAKKVkmacc
lnln'ln,
2
0
'
12
KKAKK
KV ''
1
KKAK
'' KAKK AKK 1'
'ln11
lnln1
1ln2 KAAAKV
![Page 11: Dynamic Programming in Economic Models Neoclassical Growth Model Bellman Equation Dr. Keshab R Bhattarai Business School, University of Hull](https://reader036.vdocuments.mx/reader036/viewer/2022082604/5515f2d7550346cf6f8b54d9/html5/thumbnails/11.jpg)
Keshab Bhattarai 11
Third Iteration of the Value function
'ln1'ln,max
3 KKAKKVkc
0
'
1
'
13
KKAKK
KV
'
1
'
1
KKAK
'1' KAKK
AKK22
22
1'
'KAKC
AKAKC22
22
1
AKC
221
1
'ln1
1ln1
1ln
1lnln
1ln'
22
22
22
22
223
K
AAAA
AKV
![Page 12: Dynamic Programming in Economic Models Neoclassical Growth Model Bellman Equation Dr. Keshab R Bhattarai Business School, University of Hull](https://reader036.vdocuments.mx/reader036/viewer/2022082604/5515f2d7550346cf6f8b54d9/html5/thumbnails/12.jpg)
Keshab Bhattarai 12
Fourth Iteration of the Value function
'ln' 34 KVCKV
'ln1'ln 22
,max4 KKAKKV
kc
'
1
'
1 22
KKAK
AKK3322
3322
1'
AKC
33221
1
K
AAA
AAA
AKV
ln11
1ln
1ln1
1ln1
ln1
ln
1ln
1
1ln'
3322
2
22
22
3322
332222
32
2233224
![Page 13: Dynamic Programming in Economic Models Neoclassical Growth Model Bellman Equation Dr. Keshab R Bhattarai Business School, University of Hull](https://reader036.vdocuments.mx/reader036/viewer/2022082604/5515f2d7550346cf6f8b54d9/html5/thumbnails/13.jpg)
Keshab Bhattarai 13
Limits of the Value Function in Infinite Iterations
kvvkv ln41
404
1..11lim 113322
1jjj
jv
Ax jt 33221
1ln
1
0
j
t
jt
tj xa
2
0
j
t
jt
tj yb
223322
2233222222
..1
..ln..1
jj
jjjjj
t
Ay
1lnlim 1 Ax jj
Ay jtj
ln1
lim
![Page 14: Dynamic Programming in Economic Models Neoclassical Growth Model Bellman Equation Dr. Keshab R Bhattarai Business School, University of Hull](https://reader036.vdocuments.mx/reader036/viewer/2022082604/5515f2d7550346cf6f8b54d9/html5/thumbnails/14.jpg)
Keshab Bhattarai 14
Limits of the Value Function in Infinite Iterations
1ln11lnlimlimlim 1
1
0
1
0
AAxaj
t
t
j
j
t
jt
t
j
j
j
AAybj
t
t
j
j
t
jt
t
j
j
jln
11ln
1limlimlim 1
2
0
1
0
AAv j
jln
11ln1lim 1
0
kAAkvj
ln1
ln1
1ln1lim 1
kvvkv ln10
![Page 15: Dynamic Programming in Economic Models Neoclassical Growth Model Bellman Equation Dr. Keshab R Bhattarai Business School, University of Hull](https://reader036.vdocuments.mx/reader036/viewer/2022082604/5515f2d7550346cf6f8b54d9/html5/thumbnails/15.jpg)
Keshab Bhattarai 15
References• Bellman, R (1957) Dynamic Programming, Princeton University Press.• Brock W and L Mirman (1972) Optimal Economic Growth and
Uncertainty: the Discounted Case, Journal of Economic Theory 4(3):479-513.
• Cass, D. (1965): Optimum Growth in Aggregative Model of Capital Accumulation, Review of Economic Studies, 32:233-240.
• Ljungqvist L and T.J. Sargent (2000), Recursive Macroeconomic theory, MIT Press
• Parente S.L.(1994) Technology Adoption, Learning-by-Doing, and Economic Growth, Journal of Economic Theory, 63, pp. 346-369.
• Sargent TJ (1987) Dynamic Macroeconomic Theory, Chapter 1, Harvard University Press.
• Solow, R.M. (1956) “A Contribution to the Theory of Economic Growth.” Quarterly Journal of Economics 70, 65-94.
• Stokey, N. L. and R.E. Lucas (1989) Recursive Methods in Economic Dynamics, Harvard UP, Cambridge, MA.
• Uzawa, H. (1962) “On a Two-Sector Model of Economic Growth,” Review of Economic Studies 29, 40-47.