Title: Week Ten
1Week Ten
2Recap
- Methodology
- Linear progression from myth to science (Popper)
vs - Competing paradigms (Kuhn/Lakatos)
- This week
- Dynamics vs Statics
3The Problem
- Economy is dynamic
- Exists in time
- Changes over time
- But economists analyse it as if static--ignore
time - Some mathematicians (e.g., Blatt) see this as
immaturity - How to reconcile dynamic reality static
methods? Two ways - Argue static determines long term
- Short-term cycles explained by external shocks to
stable economic system - Dont! Develop dynamic, nonequilibrium economics
instead - Both approaches compete in literature
4An Analogy
- Riding a bicycle
- do you need to know how to balance a stationary
bicycle before you can ride it? - Economist Yes! must learn statics before you
can do dynamics - (1) Learn how to balance bike while stationary
- (2) Ride in straight line, using skills acquired
in (1) - (3) Turn bike? How? Try handlebars
- (4) Fall flat on face!
- Real world No!
- Dynamic art of riding bike exploits centripetal
forces which dont exist when bike is stationary - Static art of balancing irrelevant to dynamic art
of riding! - So why do economists do Statics?
5The early days Statics because it was easy
- Historically, the KISS principle
- If we wished to have a complete solution ... we
should have to treat it as a problem of dynamics.
But it would surely be absurd to attempt the more
difficult question when the more easy one is yet
so imperfectly within our power. (Jevons 1871
1911 93) - ...dynamics includes statics... But the statical
solution is simpler... it may afford useful
preparation and training for the more difficult
dynamical solution and it may be the first step
towards a provisional and partial solution in
problems so complex that a complete dynamical
solution is beyond our attainment. (Marshall,
1907 in Groenewegen 1996 432)
620th Century as the Century of Dynamics?
- A point on which opinions differ is the capacity
of the pure theory of Political Economy for
progress. There seems to be a growing impression
that, as a mere statement of principles, this
science will sonn be fairly complete It is with
this view that I take issue. The great coming
development of economic theory is to take place,
as I venture to assert, through the statement and
the solution of dynamic problems. (J.B. Clark
father of marginal productivity theory of
distribution 1898 1) - Why does dynamics matter (according to Clark)?
- A static state is imaginary. All actual
societies are dynamic Heroically theoretical is
the study that creates, in the imagination, a
static society. (Clark 1898 9)
720th Century as the Century of Dynamics?
- It will bring the society that figures in our
theory into a condition that is like that of the
real world. It will supply what a static theory
openly and intentionally puts out of sight
namely, changes that alter the mode of
production, and act on the very structure of
society itself. (Clark 1898 10-11) - Great expectations but little done until Great
Depression - Frisch and exogenous explanation for economic
cycles - Harrods endogenous explanation
8The beginnings of dynamics
- Frisch 1933 trade cycle explained by the fact
that certain exterior impulses hit the economic
mechanism and thereby initiate more or less
regular oscillations - Underlying highly stable propagation mechanism
(like rocking horse) - Random shocks from outside (impulses)
- Each shock sets up single regular harmonic
pattern (like stone in pool of water) - Overlay of many shocks gives irregular cycles
(lots of stones) - Gave rise to econometrics
- Dominant method fit linear stochastic model to
economic data
9Harrod Growth cycle theory
- Harrod (1939)
- Criticised Frisch paradigm
- Divorces growth from cycles when the trend of
growth may itself generate forces making for
oscillation (OREF II 38) - Has no explanation for growth or shocks
- Developed combined theory of growth/cycle
- Basic method extension of Keyness GT into
dynamics - His dynamic equilibrium unstable nonequilibrium
model - Derivation starts from static Keynesian equality
of S and I
10Harrods knife edge
11Harrods knife edge
12Harrods knife edge
13Harrods knife edge
14Harrods knife edge
Savings ratio
Rate of growth
Incremental stock to output ratio (ICOR)
15Harrods knife edge
- Types of growth
- Actual growth
- g.cps
- cp actual ICOR actual accumulation of stocks in
given period - Warranted growth what fulfilled capitalist
expectations - gw.cs
- c desired ICOR ratio of change in stocks to rate
of growth that capitalists want - Natural maximum sustainable rate of growth
- gn
16Harrods knife edge
- Reciprocal relation between g gw
- If actual growth exceeds warranted, then actual
ICOR (accumulation of stocks) less than desired
ICOR - If g gt gw, then cp lt c since both g.cpgw.cs
- Capitalists will increase orders to restore
desired ICOR - Growth accelerates
- If actual growth below warranted, then actual
ICOR (accumulation of stocks) more than desired
ICOR - If g lt gw, then cp gt c
- Capitalists decrease orders to restore desired
ICOR - Growth declines
- Dynamic equilibrium unstable
17Harrods knife edge
- Explains growth and cycles
- If ggtgw
- economy booms
- eventually hits overfull employment constraints
- economy turns down
- If gltgw
- economy slumps
- hits rock bottom
- need to replace equipment (depreciation) forces
ive investment - restarts upward pattern
18Hicks interprets Harrod
- Hicks could not accept that equilibrium unstable
- A mathematically unstable system does not
fluctuate it just breaks down (OREF II 56) - Reworked Harrods model
- Define growth as
- Desired investment a function of change in output
- Define actual consumption as
- Therefore actual saving is
- Equate the two (Keynesian SI)
- 2nd order difference equation
19Hicks interprets Harrod
Cycles alright, but whatever happened
to Growth? Knife-edge instability?
20Hicks interprets Harrod
clt1, cycles peter out
cgt1, cycles explode
21Hicks interprets Harrod
- Problems
- Equation generates cycles, but not growth Ye
zero! - Cycles unstable for c gt 1
- But c similar to v, the accelerator ratio of
capital stock to output
- v between 2 3 for most countries
- Solutions
- Assume exogenous growth at natural rate
- Assume c lt 1
- Assume exogenous shocks to explain persistence of
cycle
22Hicks interprets Harrod
- Hicks interpretation dominates trade cycle theory
- Growth becomes separate topic, dominated by
neoclassical models - Hicks approach extended/modified by Samuelson,
Domar - Led nowhere interest in trade cycle declined
over 60-70s - Revival in 80s with neoclassical real business
cycle models - But Hickss model based on an error
- Equation results from equating desired investment
to actual savings - Keynesian SI applies to ex-post, actual figures
only - Correcting this
23Correcting Hicks on Harrod
- Desired investment becomes actual investment
- Investment added to capital stock
- Capital stock determines output
- A 3rd order difference equation
- Generates growth cycles, as Harrod believed
24Correcting Hicks
25The importance of being nonlinear
- Previous model a quirk
- Linear model (just constants and variables, no
powers, etc.) - Generates sustained cycles (for cgtv)
- Most linear models
- Cycle to equilibrium (clt1 in Hicks)
- Rigid cycles (c1 in Hicks)
- Unstable (cgt1 in Hicks)
- Frisch/Hicks argument that unstable system
just breaks down only true for linear systems - Nonlinear systems can have unstable equilibria
and not break down
26The importance of being nonlinear
- Economist attitudes garnered from understanding
of linear dynamic systems - Stable linear systems do move from one
equilibrium to another - Unstable linear dynamic systems do break down
- Statics is the end point of dynamics in linear
systems - So economics correct to ignore dynamics if
economic system is - linear, or
- nonlinearities are minor
- one equilibrium is an attractor and
- system always within orbit of stable equilibrium
- Nonlinearity necessary for proper dynamics
27The importance of being nonlinear
Linear models can be
Cycles in linear system require
Frisch/Hicks/Econometrics approach
Harrods initial model
28The importance of being nonlinear
- Cycles can occur because system is
Not so different from linear model
Completely unlike linear model
An example Lorenzs weather model
29The importance of being nonlinear
- Kaldor (1940) first economist to realise this
- Began with linear model
- Realised that this had only 2 states
- dangerous instabilities or
- more stability than the real world appears, in
fact, to possess - Deduced that therefore, economic relations
cannot be linear - Many non-mainstream nonlinear models developed
- Key example Goodwins predator-prey model
(1967) - Based on Marxs model, Capital I Ch. 25 (Week 4)
30Sample nonlinear model
- Marxs model
- High wages--gtlow investment--gtlow growth--gtrising
unemployment--gtfalling wage demands--gtincreased
profit share--gtrising investment--gthigh
growth--gthigh employment--gtHigh wages cycle
continues - Goodwin draws analogy with biology
predator-prey models - Rate of growth of prey (fish--gtcapitalists!)
depends ively on food supply and -ively
interactions with predator (shark--gtworkers) - Rate of growth of predator depends -ively on
number of predators and ively on interactions
with prey
31Predator-Prey cycles
Food supply
Rate of growth of Fish
Interactions with Sharks
Interactions with Fish
Rate of growth of Sharks
Rate of death in absence of Fish to eat
- Generates a cycle
- Lots of fish--gtlots of interactions with
Sharks--gtrapid growth - of Sharks--gtFall in Fish numbers--gtless
interactions with Sharks - --gtFall in Shark numbers--gtLots of fish again...
32Predator-Prey cycles
Equilibrium here, but system will never reach it
33Goodwins model
- Goodwin saw in Marxs model
- Rate of change of workers wage demands a
nonlinear function of rate of employment/output - Rate of change of employment/output a function of
wages share
Basic mechanisms of model
Wage change depends on employment
Capitalists invest all their profit
and a Phillips curve
Profit
Wages
Rate of change of wages depends upon
Output
Rate of employment
34Goodwins model
35Goodwins model
36Goodwins model
37Goodwins model
Labor productivity (a) and population (N) both
assumed to grow at constant rates
38Goodwins model
Worked out using chain rule
Model reduces to system of 2 equations
and results in predator-prey system
39Goodwins model
Generates growth with cycles
40Goodwins model
- Successfully renders Marxs model
- Explains trade cycle via class conflict over
income shares - Nonequilibrium model
- Both growth and cycles
- Cycles have long term impact
Lost output (and employment) due to cycles
41Current state of dynamics
- Undergoing revival since mid-80s
- 3 streams
- Neoclassical
- real business cycle
- Increasing returns to scale explanation
- Still using linear models
- Non-neoclassical
- Kaldor/Goodwin based nonlinear models
- Complexity analysis
- Inspired by chaos theory in physics, evolution
in biology
42Complexity Theory
- Nonlinear dynamic systems can develop complicated
behaviour from interaction of simple rules - Systems live on border between chaos and
order - Tiny changes can push system from order into
chaos - Undermines rational expectations (Week 7)
- Impossible to predict course of complex system
- Example lemmings
- Rate of growth of lemmings
- ive fn of current population
43Complexity Theory
For low values of a, tapers to stable equilibrium
For a2, a 2-valued cycle population overshoots
equilibrium, then undershoots, etc.
For a gt 2.7, apparently random behaviour
44Conclusion
- Dynamics now hot area of economics
- Much interaction with other sciences
- Biology
- Computing
- Physics
- Non-neoclassical models now match neoclassicals
in mathematical sophistication - Economics may finally grow up
- but most economists today still woefully ignorant
of dynamics
45Conclusion
- Jevons/Marshall attitude still dominates most
schools of economic thought, from textbook to
journal - Taslim Chowdhury, Macroeconomic Analysis for
Australian Students the examination of the
process of moving from one equilibrium to another
is important and is known as dynamic analysis.
Throughout this book we will assume that the
economic system is stable and most of the
analysis will be conducted in the comparative
static mode. (1995 28) - Steedman, Questions for Kaleckians The general
point which is illustrated by the above examples
is, of course, that our previous 'static'
analysis does not 'ignore' time. To the contrary,
that analysis allows enough time for changes in
prime costs, markups, etc., to have their full
effects. (Steedman 1992 146)
46Conclusion A mathematician on economics
- A baby is expected to first crawl, then walk,
before running. But what if a grown-up man is
still crawling? At present, the state of our
dynamic economics is more akin to a crawl than a
walk, to say nothing of a run. Indeed, some may
think that capitalism as a social system may
disappear before its dynamics are understood by
economists. (Blatt 1983 5)