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“Non-Equilibrium Dynamics: An Algorithmic Model based on Von Neumann-Sraffa-Leontief Production Schemes”. Stefano Zambelli Deptartment of Economics University of Trento Trento – Italy [email protected]. 28.05.2009. Modern macroeconomics : - PowerPoint PPT Presentation
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“Non-Equilibrium Dynamics: An Algorithmic Model based on Von Neumann-Sraffa-Leontief
Production Schemes”
Stefano ZambelliDeptartment of Economics
University of Trento
Trento – Italy
28.05.2009
2
Modern macroeconomics:– the economic system is in a perpetual state of
general economic equilibrium (postulate)
– The aggregate dynamics is explained by the existence of (real or monetary) shocks that require a revision of the agents’ (inter)temporal decisions - Stochastic Dynamic General Equilibrium Models
– These low dimensional Stochastic Dynamic General Equilibrium Models are also the ‘benchmark’ models for the cases in which out of equilibrium behaviours are considered.
3
In this work an attempt is made to design:– a dynamic system– where the postulate of perpetual general economic
equilibrium is relaxed. – an algorithmic model in which interactions between agents
and regions is constructed using the theoretical toolbox of coupled dynamical systems.
4
To be more specific the algorithmic model is based on the tradition set by:– von Neumann’s growth model, – by the Keynes-Stone’s conceptual work on
national accounting;– Simon’s work on behevioural economics,
decision making; – Vellupillai’s computable economics.
5
The final aim is – to use the model as a type of virtual laboratory
in which to implement analytical conceptual experiments aimed to study: • the convergence towards equilibrium; • the emergence of monetary-financial
magnitudes; • price dynamics; • the effects of technological innovations
(non)
6
Technological PossibilitiesMethods of Production
iiiii tii
ti
tin
ti
ti
iiiinii
iiiinii
bLaaa
bLaaa
bLaaa
i
21
22222
21
11112
11
):,:,(Φ
iiiii zii
zi
zin
zi
zii bLaaaiz 21:):,,(
bii units of commodity i can be produced with ti different alternative methods.
i = 1, …, n e zi = 1, …, t i ):,,2( i
7
Technological PossibilitiesMethods of Production
iiiii tii
ti
tin
ti
ti
iiiinii
iiiinii
bLaaa
bLaaa
bLaaa
i
21
22222
21
11112
11
):,:,(Φ
nnnnn tnn
tn
tnn
tn
tn
nnnnnnn
nnnnnnn
bLaaa
bLaaa
bLaaa
n
21
22222
21
11112
11
):,(:,Φ
2222222222221
222
22
22
222
221
122
12
12
122
121
)2:,:,(
tttn
tt
n
n
bLaaa
bLaaa
bLaaa
Φ
1111111111211
211
21
21
212
211
111
11
11
112
111
)1:,:,(
tttn
tt
n
n
bLaaa
bLaaa
bLaaa
Φ
8
iiiii tii
ti
tin
ti
ti
iiiinii
iiiinii
bLaaa
bLaaa
bLaaa
i
21
22222
21
11112
11
):,:,(Φ
nnnnn tnn
tn
tnn
tn
tn
nnnnnnn
nnnnnnn
bLaaa
bLaaa
bLaaa
n
21
22222
21
11112
11
):,(:,Φ
2222222222221
222
22
22
222
221
122
12
12
122
121
)2:,:,(
tttn
tt
n
n
bLaaa
bLaaa
bLaaa
Φ
111111111211
211
21
21
212
211
111
11
11
112
111
)1:,:,(
tttn
tt
n
n
bLaaa
bLaaa
bLaaa
Φ z1 = 2
z2 = 7
zi = 5
zn = 1
1
5
7
2
2
1
nz
i
z
z
z
Technological PossibilitiesMethods of Production
9
Any ”Standard” production function can be encapsulated
(approximated) in a subset of the matrix
izia 2
):,:,( iΦ
izia 1
iif
iiiiii bbbb 21
iiiii tii
ti
tin
ti
ti
fii
fi
fi
iiii
iiii
bLaaa
baa
baa
baa
i
21
21
222
21
112
11
00
00
00
):,:,(Φ
12ia
11ia
1iib
21ia 3
1iaf
ia 1
22ia
32ia
fia 2
2iib
3iib
fiib
iib
10
50’s Linear Programming - Samuelson – Solow
izia 2
12ia
izia 1
iif
iiiiii bbbb 21
iiiii tii
ti
tin
ti
ti
fii
fi
fi
iiii
iiii
bLaaa
baa
baa
baa
i
21
21
222
21
112
11
00
00
00
):,:,(Φ
11ia
1iib
21ia 3
1iaf
ia 1
22ia
32ia
fia 2
2iib
3iib
fiib
iib
The other way about – Heterogeneous production could be represented AS IF it was a ’simple’ Cobb-Douglas production function
ii
fi
fi
fi
fi
iiiiii
iiiiii
baaaaF
baaaaF
baaaaF
1
2121
122
21
22
21
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11
12
11
),(
),(
),(
THIS ”WELL-BEHAVED” FUNCTION”FITS” REAL METHODS
11
Methods of Production ni :,:,,,:,:,,,2:,:,,1:,:, ΦΦΦΦΦ
n
nn
n
k
n
n
zz
zzz
zzz
n aa
aaa
aaa
nnz
nz
nz
1
2
2
2
22
2
21
1
1
1
12
1
11
),:1,(
)2,:1,(
)1,:1,(
2
1
zA
n
nn
z
z
z
n b
b
b
nnz
nz
nz
0
00
00
),2,(
)2,2,(
)1,2,(2
22
1
11
2
1
zB
12
Methods of Production ni :,:,,,:,:,,,2:,:,,1:,:, ΦΦΦΦΦ
nzn
z
z
n L
L
L
nnz
nz
nz
2
1
2
1
2
1
),1,(
)2,1,(
)1,1,(
zL
),,( zzz LABThis triple identifies a combination, z, of production methodsused to produce the n commodities
If 0ABe zz the system is productive.
13
nnx
x
x
000
000
000
000
22
11
X
zzzz LABE ,,
),,( zzz XLXAXB
Any productive system can be re-proportioned so as to constitute another productive system
The set of all possible triplesconstitutes a production system
zzzz LABE ,,
14
Simple EconomySimple Productive System
1 2 3 s – Producers (also Workers)
l- Workers
“Products – Goods – Commodities”1
2
3
First Commodity
Second Commodity
Third Commodity
l +s working units
l +s consumers
n commodities
m production processes
Let n be a large number, say 3! E. Landau
15
Means of production necessary for the production of the
quantity x11 b11 of commodity 1
111111111111131112111111zzzzz bxLxaxaxax
1 2 3 Producers
Workers
1
2
3
1
1111zLx
16
222222222222232222222122zzzzz bxLxaxaxax
1 2 3 Producers
Workers
1
2
3
2222zLx
2
Means of production necessary for the production of the
quantity x22 b22 of commodity 2
17
Factors’ demand. Quantity bought for the production of
commodity x33 b33
333333333333333332333133zzzzz bxLxaxaxax
1 2 3 Producers
Workers
1
2
3
3333zLx
3
18
111111111111131112111111zzzzz bxLxaxaxax
1111zLx
222222222222232222222122zzzzz bxLxaxaxax
333333333333333332333133zzzzz bxLxaxaxax
1
2
3
1 2 31 2 3
2222zLx
1 2 3
3333zLx
),,( zzz XLXAXBREMARK: DECISION PROBLEMSCAN BE ENCAPSULATED AS DIOPHANTINE EQUATIONS –TURING MACHINES ENCODABLES
19
1 2 31 2 31 2 3 1 2 31 2 31 2 3
Exchange for ProductionPurposes
Exchange for ConsumptionPurposes
GENERAL EQUILIBRIUM Walrasian or Marshallian
THE VALUE OF THE QUANTITIES SOLD BY THE INDIVIDUAL AGENTS IS EQUAL TO THE VALUE BOUGHT BY THEM (no credit-debt contracts arenecessary – no money)
20
Non-substitution Theorem
Theorem: Relative prices are independent from the production and/or demand vector.
21
Non-substitution Theorem
zzz
z
L)(ABηη 1
1
1),(
rrw
)3(zw)2(zw
w
r
Wage-Profit Curve
Number of possible combinations of processes z is t1t2t3t4t5…tn
)1(zw
)6(zw
)5(zw
)4(zw
Wage Profit Frontier
22
Macroeconomic Aggregates(Equilibrium values)
),(),(),('),(' ηηηXLeηXApe zzzzz rvWrvΠrwrrvYNNP
pXBXLpXA zzz wr)1(
),()('),( ηpABXeη zzz rrvC
Quantity of NNP allocatedto the owners of capital
Quantity of NNP allocatedto the workers
),('),( ηpXBeη zzz rrvYGNP
),('),( ηpXAeη zzz rrvK
),()('),( ηpABXeη zzzz rrvYNNP
23
1 2 31 2 31 2 3 1 2 31 2 31 2 3
Exchange for ProductionPurposes
Exchange for ConsumptionPurposes
GENERAL NON-EQUILIBRIUM THE VALUE OF THE REAL QUANTITIES SOLD BY THE INDIVIDUAL AGENTS IS NOT EQUAL TO THE VALUE BOUGHT BY THEM (They are by definition equal – but with the emergence of credit-debt ... i.e., clearing contracts).
WHAT IF?
24
GENERAL NON-EQUILIBRIUM
• Bilateral trade (non uniform prices – exchange prices are
NOT equal to equilibrium natural prices)• Purchasing power unbalances. For most agents the values of the
real quantities sold is not equal to the values of the real quantities bought.
• Money as Debt-Credit relations. The individuals write bilateral contracts (the sellers of real commodities sell them in exchange of I Owe You contracts IOU – as clearing devices)
THE STUDY OF EQULIBRIUM CONDITIONSIS SIMPLER THAN THE STUDY OF OUT-OF-EQUILIBRIUM BEHAVIUOR
25
GENERAL NON-EQUILIBRIUM SPECIFICATION OF INDIVIDUAL BEHAVIOURAL FUNCTIONS
BEHAVIOURAL ECONOMICS
EXPERIMENTAL ECONOMICS
COMPUTABLE ECONOMICS
ALGORITHMICRATIONAL
AGENTA Computable Agent
26
Agents’ decisions
1 2 3
ALGORITHMICRATIONAL
AGENTA Computable Agent
Heterogeneity
Experimental
Behavioral
Computable
27
Macroeconomic Aggregates Non Equilibrium Dynamics
w
r2
3
1
SHORT-RUN
LONG RUN
28
Macroeconomic AggregatesOut of Equilibrium Dynamics
w
r2
3
1
LOCK-IN ?
29
Macroeconomic AggregatesOut of Equilibrium Dynamics
)3(zw)2(zw
w
r
)1(zw
)6(zw
)5(zw
)4(zw
Wage Profit Frontier
2
3
1
30
w
r
)1(zw
)6(zw
)5(zw
Capital/Labor Ratio
LXe
z
WPF
WPFvK
'
r
Wage Profit Frontier
NEOCLASSICAL CASEConsistent with theAggregated ”Cobb-Douglas”
GENERAL EQUILIBRIUM
31
Macroeconomic Aggregates(Equilibrium values)
Stochastic Dynamic General Equilibrium Models .
RBC – OLG – NEW KEYNESIANS ….
Capital Market Labor Market
LvKWPF
r wWPF
Labour DemandMPL
Labour SupplyCapital Supply
Capital DemandMPK
32
w
r
)1(zw
)6(zw
)5(zw
Capital/Labor Ratio
LXe
z
WPF
WPFvK
'
r
Wage Profit Frontier
NOT NEOCLASSICAL CASENOT consistent with the Aggregated ”Cobb-Douglas”
GENERAL EQUILIBRIUM
60%
33
Macroeconomic Aggregates(Equilibrium values)
ARTIFICIAL ECONOMIC MODEL
LvKWPF
r wWPF
Labor DemandMPL
Labor SupplyCapital Supply
Capital DemandMPK
?
?
?
?
Capital Market Labor Market
34
A SimulationAn example with Low Dimensional Model
3 commodities, 3 producers, 27 workers, 6 methods per commodity
0 0.2 0.4 0.6 0.8 1 1.2 1.40
0.5
1
1.5
2
2.5
3
3.5
4
4.5Frontier
Profit Rates
Wag
e R
ates
1 2 3
4
2
2
z
4
5
2
z
4
2
5
z
1
2
5
z
35
0 0.2 0.4 0.6 0.8 1 1.2 1.40
1
2
3
4
5
6
7
8Capital/Labor Ratio at the Frontier
Profit Rates
Cap
ital/L
abor
Rat
io
36
HIGHLY STRUCTURED von Neumann - Wolfram
CELLULAR AUTOMATA
1 2 3 Producers
Workers
“Products – Goods – Commodities”
1 2 3 1 2 3
UNIVERSAL COMPUTABILITY
MASTER DIOPHANTINE EQUATION
DISTINCTION BETWEEN LOCAL GLOBAL VARIABLES
37
HIGHLY STRUCTURED von Neumann - Wolfram
CELLULAR AUTOMATA
1 2 3 Producers
Workers
“Products – Goods – Commodities”
1 2 3 1 2 3
THE ALGORITHMIC COMPLEXITY AND COMPUTATIONAL COMPLEXITY OF THE CONCATENATED SYSTEM IS PROPORTIONAL TO THE COMPLEXITIES OF THE SMALLER UNIT
38
Notions of Equilibrium
• Uniform prices• Desired-planned exchanges equal actual exchanges
(ex-ante=ex-post)• Supply equals demand • IOUs=0 (ΔIOUs=0)• … and so on
39
GENERAL EQUILIBRIUM
(uniform prices – but not uniform profit rates) ******* ***
)1( pBXwLXrpAX zzz
GENERAL EQUILIBRIUM
(uniform prices, wage rates and profit rates)
IMPORTANT in equilibrium the dimensionality is not important and the ”aggregate” system is simply a ’multiple’ (ω) of the (equilibrium) subsystems (or a linear combination of them).
******* ***
)1( pBXLXpAX zzz wr
40
n commodities, s producers, l workers, m methods
0 0.2 0.4 0.6 0.8 1 1.2 1.40
0.5
1
1.5
2
2.5
3
3.5
4
4.5Frontier
Profit Rates
Wag
e R
ates
1 2 3
4
2
2
z
4
5
2
z
4
2
5
z
1
2
5
z
The wage profit frontier is independent from dimensionality
POSSIBLE BENCHMARK?REPRESENTATIVESYSTEM
41
• THERE ARE NO STOCHASTIC ELEMENTS IN THE ALGORITHMIC MODEL
• THE DIMENSION OF THE MODEL IS PARAMETRIC (it functions well also with a high number of agents and regions)
• IT GENERATES ALL THE STANDARD NATIONAL ACCOUNTING DATA
• ALL THE ECONOMIC AND ALGORITHMIC CHECKS (CONTROLS) GIVE CONSISTENT RESULTS BOTH AT THE MICRO AS WELL AS AT THE MACRO LEVEL (for example accounting - double-book keeping – NO ERRORS AND OMISSIONS)
• All the different ARAs’ algorithms for the determination of the expected sales, future prices and buying and selling decisions function well;
TO SUM UP
42
WORK IN PROGRESS
• INITIAL VALUE PROBLEM – INITIAL CONDITIONS
• AFTER SOME ITERATIONS SOME PRODUCERS STOP PRODUCING BECAUSE EXPECTED REVENUES ARE LOWER THAN EXPECTED COSTS
• COORDINATION PROBLEM?• CORRIDOR?• THE WORKERs’ MOBILITY HAS NOT YET
BEEN INTRODUCED
43
SOME EXAMPLES OF RESEARCH QUESTIONS
• Can the system function without the introduction of institutions such as Central Bank and Government?
• Will the system(s) converge towards a uniform equilibrium? Or are we facing a PASTA-ULAM-FERMI problem?
• What are the determinants of the equilibrium?– Demand?– Policy?– None of the above
• WHAT IS THE RELATION BETWEEN MONETARY MAGNITUDES AND REAL MAGNITUDES?
• What is the relation between the ”real” interest rate and the ”monetary” interest rate?
• Effects of technological innovations
44
THE STUDY OF OUT-OF-EQUILIBRIUM BEHAVIUOR IS NECESSARY FOR THE UNDERSTANDING OF:
THE IMPORTANCE OF DEMAND
THE EFFECTS OF MONEY AND FINANCIAL MAGNITUDES ON REAL VARIABLES
THE IMPLEMENTATION OF NEW METHODS OF PRODUCTION: NEW PRODUCTION TECHNIQUES
THE EQUILIBRIUM IN THE LABOUR MARKET AND INDIVIDUAL WELFARES
and so on and so forth and so on and so forth …