The paper below, a work-in-progress, is a differential version of                 
a 'toy  spreadsheet  model' I posted  on PEN-L a couple of months 
ago. Many thanks for all the  positive responses to it (honest, I
didn't get any negative ones).

The differential version is a  bit more  difficult and needs some
math. I've tried to make it as straightforward as possible and if
anyone  wants  anything  explained more I can do my best. Also if
anyone spots bugs in it I'd be grateful to know.

Most important is that this version is stable where the difference 
(spreadsheet)  version  is not,  which is what renewed my interest 
in it.

I still  don't think  it is a plausible model for the cycle but I
think it makes  some  serious  points;  in particular, I think it 
shows FROP  has a  decisive  role  to  play in  explaining cyclic
behaviour and can't be ignored any longer.

I can't  post the  charts in ASCII but I can send  them UUencoded
or snail mail to anyone who wants.

I  could show  the cycle was  stable and deduce its amplitude and
shape; as yet I  haven't  been able to  calculate its periodicity
or  formally  prove  its stability,  though  this  is pretty damn
obvious. Any help would be welcome.

Thanks to John  Ernst and  Phyllis Attwater  specially for a very
useful discussion on capital-output ratios.
                 
                 AN ENDOGENOUS PROFIT RATE CYCLE
             Alan Freeman, University of Greenwich

1. THE EQUATIONS

Consider the following system:

   K' = I                                                     (1)
   I' = aS (S/K-R)                                            (2)

As  we will show, this system exhibits stable periodic cycles  in
both I and K except at the stable fixed point K=S/R. I oscillates
between  equal negative and positive extremes, while K oscillates
asymetrically between a minimum lower than S/K but  greater  than
zero,  and a maximum higher than S/K. This holds for any  initial
values  of  I  and  any  positive initial  value  of  K  and  the
parameters S,R and a.

The  variable K represents the money value of capital stock;  the
variable  I  is the money value of the rate of investment;  S,  a
constant,  is  the  money value of profits per  period.  R  is  a
'target' profit rate and a a parameter.

Equation (1) states that capital stock grows or shrinks at a rate
equal to the rate of investment.

Equation  (2) states that if the average profit rate falls  below
the  target  rate, entrepreneurs in aggregate reduce  investment;
the greater the gap, the more rapid the reduction. Conversely  if
the profit rate rises above this target rate, investment rises in
the same manner. The change in investment is here represented  as
a proportion a(S/K  R) of the mass of profit S.

Charts can be plotted to illustrate with initial values K0 = 200, 
I0  = 10, and for S = 50, R = 0.05 and a = 0.02, using  a numeric
package  such as  Phaser , MathCad or Mathematica, or supplied on
request.

The qualitative 'mechanism' is as follows; begin at a 'typical
point' when the actual profit rate is below the target (K too big)
but I is positive. K continues to rise, further decreasing the 
profit rate. Since S/K is below R, investment is falling but 
remains positive until a certain point determined by a, R and 
the initial conditions. Once investment falls below zero 
(disinvestment), K begins to fall so that S/K is now rising 
but I' initially negative. When K falls to the critical point 
S/R, I' becomes positive because the profit rate is now above the
target rate, but investment is still negative. Thus K undershoots 
until it reaches a minimum, also determined by the parameters and 
initial conditions, when I is positive again and capital stock 
begins to rise. When K reaches S/R from below investment is now 
positive but begins to fall, resuming the cycle.


2. THE BACKGROUND

It  is known that endogenous business cycles can be generated  or
simulated  using second-order linear equation systems, the  best-
known  early  such example being the Samuelson (1939) Multiplier-
Accelerator model.

It  is a generally accepted criticism of such linear models  that
only  one value of the control parameter produces self-sustaining
stable  cycles.  The problem therefore remains of accounting  for
the  two  most  salient observed features of  modern  capitalism,
namely  the  persistence of business cycles and  the  lack  of  a
stable equilibrium.

A  nonlinear  accelerator  as  well as  other  subsequent  models
developed  by  Goodwin and his co-workers brought home  the  fact
that persistent cycles arise only if there are nonlinear terms in
the  equations of motion. But in most such models,  the  rate  of
profit  as a determinant of investment behaviour has been  either
incidental  or  absent, and the adjustment process  has  focussed
either  on the interaction between investment and consumption  or
output, or on the interaction between employment and wage levels.

Neither  neoclassical nor Marxist thinkers have, to my knowledge,
constructed  formal  models in which the rate  of  profit  itself
exercises   the   predominant  influence  on  cyclic   behaviour,
notwithstanding the importance which the rate of  profit  assumes
in  Marxist theory, and notwithstanding the significant empirical
evidence  uncovered, by authors in both schools, of  profit  rate
variations  during  the course of  the cycle. This  includes, for 
example, a major Bank of England study  on the rate of profit and 
the 1974 recession.

Marxist  interest  in  cycles in the early part  of  the  century
generally  focussed, from Rosa Luxemburg onwards (see Day  1981),
on  the  instability  of the proportions of reproduction  per  se
whilst neoclassical and Post-Keynesian studies focussed either on
pricing  behaviour  or  on the relation  between  investment  and
output  or consumption. Cross-dual models such as those developed
by  Semmler,  Flaschel and their co-workers  (see  Wegberg  1990)
occupy  an intermediate position inasmuch as the Marxist  concern
with intersectoral proportions is maintained but the price system
plays a genuinely dynamic role.

I  devised  this  equation system to test whether  stable  cycles
could be generated purely on the basis of changes in the rate  of
profit.  The  system therefore abstracts from all  variations  of
investment  behaviour which might be influenced or determined  by
changes in the labour market, the price level or by variations in
quantities consumed or produced. For this reason S, the share  of
the  money  surplus  available either for investment  or  private
capitalist  consumption, is held constant and only capital  stock
and investment may vary; investment itself being affected only by
the rate of profit.

These simplifying features do not purport in any way to represent
a  real  economy. The system is not at all the only such possible
and  I  am  not  at all inclined to treat it as  a  'correct'  or
empirically  valid  model or even develop  it  into  one.  It  is
clearly  not  realistic, for example, that any particular  profit
rate  such  as  R  should be singled out as  one  of  its  stable
features.  Moreover  it is empirically and theoretically  evident
that  the  period of the business cycle is closely  tied  to  the
turnover   time   of  fixed  capital,  a  fact  that   finds   no
representation in these equations.

Nevertheless  as discussed in section 5, the assumptions  adopted
do  not rule out changes either in the real or money wage  or  in
the  size  of  the net money surplus, nor technical change.  What
they do is insulate movements in investment or capital stock from
such  changes  so as to isolate the impact of the average  profit
rate.  This  exercise  in thought is an indication  that  from  a
theoretical point of view the influence of the rate of profit  in
the business cycle must be seriously reexamined.


2. FORMAL PROPERTIES OF THE SYSTEM

We can transform equations (1) and (2) to a canonical form, which
makes it easier to study its fundamental properties, by using co-
ordinates  x, y in which x, the transform of K, is 0  when  K=S/R
and  -1 when K = 0, y being similarly rescaled. The equations  of
this transformation are

   x = K(R/S) - R/S hence K= (x+1)S/R and K' = x'S/R
   y = IR/S hence I  =  yS/R and I '= y'S/R

This leads to

   x' = y
   y' = aS{ S/(1+x)*(R/S)-R} = aSR{1/(1+x)-1}= -aSR x/(1+x)

Writing the constant B in place of aSR gives

   x' = y                                                     (3)
   y'= - B x/(1+x)                                            (4)

This  is  a plane autonomous system, meaning that time  plays  no
explicit  role. This makes it possible to derive the equation  of
the orbit (the relation between x and y, or K and I) directly  by
dividing x' by y' to give

   dy/dx= - Bx/y(1+x)                                         (5)

Separation of variables leads to

   ydy = - B x/(1+x)dx = B{x/(1+x)-1}

whence integration yields

   y^2  = B{log(1 + x) - x} + C                               (6)

where  C  is  the constant of integration. This gives  a  set  of
closed  curves  in  the  x-y  plane,  corresponding  to  periodic
oscillations of K and I.

Some  insight can be gained by noting that if y is eliminated  to
give the second-order differential equation

   x" = -B x/(1+x)                                            (7)

which  may be compared with the classical linear oscillator  (and
the linearisation of this system)

   x" = -Bx                                                   (8)

in  which Bx is a restoring force proportional to the distance  x
from  equilibrium. This oscillates indefinitely in a fixed  orbit
unless  either damped or forced. If the restoring  force  is  not
proportional to distance x, the system may be compared either  to
a  stiffening  spring (force increases 'faster'  than  Bx)  or  a
'softening' spring (force increases 'slower' than Bx).

The denominator 1/(1 + x) modifies this behaviour asymmetrically;
for  positive  x it lessens the 'restoring force'  with  distance
from  x = 0, behaving like a softening spring whilst for negative
x  it increases it, behaving like a stiffening spring. Hence  the
phase of the cycle for which investment is decreasing (x < 0)  is
longer than the phase for which investment is increasing (x > 0),
so that on the one hand the profit rate is above the target for a
longer part of the cycle than below it, but on the other the plot
of  investment  against time is a reverse sawtooth,  the  leading
edge  in  which  investment  is rising  being  sharper  than  the
trailing edge in which it falls.

The  second  result does not accord with the observed pattern  of
the business cycle, but as stated earlier our intention is not to
mimic  the  cycle.  It  is  to  demonstrate  that,  since  cyclic
behaviour can be emulated in a system in which all variation  due
to  fluctuations in price and quantity has been abstracted  from,
it  would be rash to conclude that these factors can be the  only
ones  at  work. Since cycles can be emulated when the  impact  of
profit  rate variations is the only remaining factor, this factor
must be taken seriously in further research.

The orbits of the system are given by the equation

   H(x,y) = y^2 + Bx - Blog(1+x) = C                          (9)

where  H,  we note in passing, is the Hamiltonian of the  system,
sometimes interpreted as its 'energy'. It is perhaps worth noting
that y^2  corresponds to the integral of investment over time, so
it might be treated as the 'pump' of the oscillating system.


4. SHAPE AND STABILITY

As remarked, the orbit is a closed curve in the x-y plane, so the
system  will  perform stable cycles which return it to  the  same
point  (x0,  y0) from which it started. Since at this  point  the
equations are identical to the starting point, its period must be
fixed, though this does not tell us what it is.

To study the orbit's shape a brief look at the curve

   z = log(1 + x) - x                                        (10)

is helpful. It has a singularity at  x  =  -1, which  according 
to  our choice  of coordinates corresponds to  the point K = 0. 
It is important to establish if x can fall below -1, therefore, 
as this would correspond to a negative capital stock.

The  curve has a maximum at x = 0 (K = S/R), at which point z  is
equal  to  zero. This immediately yields the extrema  of  y  from
equation 6, namely y = +-sqrt(C). This also highlights the result  
that there are no real orbits for C < 0.

We turn before establishing the extrema of x to the dependence of
the  orbit on the initial conditions and the parameter  a,  which
between them determine the value of the constant B.

Substituting initial values x0, y0 leads to

   C = y0^2 - B{log(1+ x0) - x0}

whence (6) becomes

   y^2 - y0^2 = B{log(1 + x) - log(1 + x0) - (x - x0)}       (11)

The  extrema of x are given by writing dx/dy = 0, which from  (5)
leads to y = 0 and hence

   x - x0 - log(1 + x) + log(1 + x0) = y0^2
   log (1 + x) - x = log(1 + x0) - x0 - y0^2                  (12)

As  noted, if x tends to -1 or oo, log(1 + x) - x tends  to  -oo,  
so that (since the orbit is a closed curve)  if the extrema exist
they  must  lie  in  the  range -1< x0 < oo. They  will not exist
if  the  righthand  side  of (12) is above  the  maximum  of  the
lefthand  side, namely x = 0, which means that the  orbit  exists
and  yields values of x between 1 and  for any values of y0  and
hence any real initial value of  I provided x0 is also between -1
and oo , that is, for any real positive initial value K0  and any
positive B.


5. ECONOMIC SIGNIFICANCE

It  is  commonplace  that  the test  of  a  theory  lies  in  the
prediction  of observed reality. The current tendency  to  reduce
this to numerical accuracy alone, econometrics maybe serving as a
softening  spring.  I want to focus on a more exacting  empirical
touchstone for theory; its ability to explain the observed  facts
without  missing  anything  out.  This  must  include  not   just
quantitative  but  qualitative facts. A theory which  numerically
predicts  prices for six years to within five percent, and  fails
to  account  for  a  devaluation, is not empirically  valid,  not
because  of  size  of  the numerical deviation    which  may  be
shortlived,  leading to good tests of significance  but  because
of the qualitative importance of devaluations.

In  the  evolution  of thought, theories may conquer  qualitative
peaks  before ironing out quantitative valleys. It is the vantage
point  from which their glacial power depends. But a theory which
does not scale peaks can never scour valleys. From this point  of
view  the  superiority  of  Galilean astronomy  lay  not  in  the
accuracy  of  its  detail, but the fact that it could  explain  a
decisive qualitative observation  the moons of Jupiter    which
could not be explained otherwise.

The  great  merit  of Goodwin's contribution to  economic  theory
surely  lies  in  his  insistence that two  decisive  qualitative
features of capitalism remain to be explained by theory,  namely,
the  persistence and stability of cycles. These, along  with  the
inequality  of  people  and nations, are  perhaps  the  two  most
persistently-observed  phenomena  of  modern  capitalism.   Their
explanation  is  a  Holy  Grail  of  serious  economic   research
although, unlike the Grail, they intrude on mundane life.

If  an  endogenous cycle theory were to explain  all  qualitative
features  of a modern economy, its superiority over all  accounts
requiring external interference would be almost too obvious to be
stated.  Less obvious, but worth stating, is that such  a  theory
would  have  to  be  based  on the most persistent  and  profound
features of a market economy, since business cycles have  existed
as  long as the market economy. Any explanation which resorts  to
an ephemeral or transient feature of capitalism is surely open to
question,  since the rigorous enquirer must ask why cycles  still
occur when the designated feature is absent.

Less  obvious still is the fact that if any transient  phenomenon
of  capitalism is excluded a priori from such a theory, it  would
be equally suspect. It would be like a theory which accounted for
the Jupiter and all the planets but ruled out comets.

Consider the accelerator equation

   K* = kY

where  K*  is  desired capital stock, Y is  capital,  and  k  the
capital-output ratio. This is the basis for Goodwin's (1951) non-
linear  accelerator  model,  the dynamic  process  of  adjustment
consisting  in  the  way  in  which  investment  K'   reacts   to
differences between K* and K, the actual capital stock.

The  customary interpretation of k is a technical feature of  the
economy,  representing  the  physical  productivity  of  capital.
Indeed,  this is why it is normally treated either as a  constant
or a consequence of technical change.

There are a number of unsatisfactory features of this equation as
it  stands which we do not repeat  (Goodwin  1951 summarises many  
of  them).  Most decisive  for us is the following  subtle point: 
since  monetary assets  form part  of the stock of capital K (and 
from the investors' viewpoint they compete equally for attention) 
and since  K and  Y are  money quantities,  the assumed technical 
relation  between them  does  not in  fact exist. For, during the 
actual course  of a slump the first and  probably main process is 
not  the  scrapping  of capital  stock but  the  migration of new 
investment capital  from  productive  to unproductive investment; 
essentially into monetary assets.

As  far  as  investment  behaviour  is  concerned,  there  is  no
operational  distinction between a money asset and  a  productive
asset. Indeed if the value of money is rising in some real sense,
it  makes perfect rational sense to transfer income into monetary
or monetisable assets. Whatever its effect on output, this has as
such no tangible effect on the stock of capital.

The  strength  of  Keynes' critique is that the  'adjustment'  of
capital  stock  to  output  under  such  circumstances  may   and
empirically  does  take  place through a downward  adjustment  of
output, not an upward adjustment of capital stock. But this  also
revises  the capital-output ratio downwards, as is to be expected
if  assets are transferred from production but remain part of the
general  stock  of  capital. A key  link  in  the  chain  of  the
accelerator-multiplier construction is thus broken; the  supposed
technical link between output and capital.

The  link  between  the  profit rate and the  stock  of  capital,
however, can be stated independently of such technical relations.
It  is  simply  the ratio between total money profits  and  total
money  capital.  This  must hold, regardless  of  the  underlying
physical  ratios;  it is among the most basic facts  of  a  money
economy.  Equally  persistent, and  equally  independent  of  all
technical  relations,  is the tendency of  capital  to  seek  the
highest  possible  return and it seems to  me  prima  facie  more
plausible  to  seek the determinants of investment behaviour  (as
did both Keynes and Marx) in the relation between this investment
and the return it yields; or at least to include this relation in
the account.

It  may  be  felt  that  this emphasis excludes  the  process  of
technical change itself from the account by focussing exclusively
on  the  apparently superficial appearance of money prices.  This
would misunderstand what the equation system allows us to say.

What  occurs  when,  through technical change,  a  more  cheaply-
produced product replaces a more expensive one? According to much
traditional  theory, the current value of the existing  stock  of
this  product counts in production at its new, replacement value.
A growing body of theoretical research (see Freeman and Carchedi)
challenges this view with the obvious point that the value of any
item  of  capital stock in the inventory of the investor  is  not
what  it costs now to replace it, but its money price at the time
of  purchase. Depreciation, from this point of view,  subsumes  a
windfall gain for the producer of the newer, cheaper product  and
a loss for the owner of the older, more expensive stock. The most
extreme example of this I know of appeared in the August 1995  US
edition  of  PC Week, in which a 1990 Cray supercomputer  costing
$12 million was advertised for $30,000 'or nearest offer'.

>From  the  point  of view of society as a whole,  therefore,  the
money  value of capital stock - the sum on which the profit  rate
is  calculated - is equal, not to the replacement  cost  of  this
stock but to its historical money cost.

This  being so, a full account of the dynamics of investment must
accept that the equation

   K'=I

is,  in  money  terms, not merely an approximation but  an  exact
truth.

Under  this fundamental truth may lie a multiplicity of  physical
realities. Disinvestment in money terms, for example, may  result
either from physical scrapping or from simply replacing existing,
older  and more expensive physical stock at the lower price  made
possible  by technical advance, the money surplus pace  Luxemburg
being disposed of unproductively. In short, it is sufficient that
the  process  of  technical change continue at  a  reduced  rate,
without  real  expansion,  for  the  slump  phase  of  production
representable by the above model to apply.

Equally, the bald assertion of a constant money volume of  profit
by  no means precludes substantial variation in the real wage;  S
is a summary variable which expresses the combined interaction of
changes in both productivity in the consumer goods sector and the
money   wage.  In  conventional  terms  it  simply  expresses   a
combination  of costs which rises in total at the  same  rate  as
productivity. What the assumption does is insulate the investment
mechanism  from  the  details of this  interaction,  forcing  our
attention  onto the underlying interaction between the volume  of
investment in money terms and the rate of profit in money terms.

Consequently  the  simplicity  of equations  dealing  with  money
capital stocks, and their relation to investment flows and profit
rates,  belie the complexity of the physical relations  they  are
capable  of expressing. In particular, if through value  analysis
we  can  isolate  the  effects of changes  in  productivity  from
ephemeral changes in the aggregate price level, we find that such
variables  act,  like  energy  in  physics,  as  the  basis   for
establishing  the  constants of motion of  an  otherwise  complex
system   perhaps the nearest that economics can get to a  global
expression  of the ancient goal of an essentially simple  summary
of its complex law of motion.


BIBLIOGRAPHY

With  the exception of keynote articles the cited works  are  not
intended  as  a  complete  review of  the  literature  but  as  a
selection  of  more  recent surveys from  which  the  reader  may
identify works in the field.

Attfield,  C.I.F.,  Demery, D. and Duck,  N.W.  (1992).  Rational
Expectations in Macroeconomics. Oxford: Blackwell

Day,  Richard  B.  (1981).  The Crisis and  the  'Crash':  Soviet
Studies of the West 1917-1939. London:Verso

Dore, Mohammed H.I. (1993). The Macrodynamics of Business Cycles.
Oxford: Blackwell.

Drazin, P.G. (1992). Nonlinear Systems. Cambridge: CUP.

Freeman,  A.  and  Carchedi, G. (1995) Marx  and  Non-Equilibrium
Economics. Aldershot:Edward Elgar.

Goodwin,  R.M.  (1951)  'The  Non-linear  Accelerator   and   the
Persistence of Business Cycles', Econometrica 19.

_______. (1992), Chaotic Economic Dynamics. Oxford: OUP

Goodwin,  R.M.,  Krueger, M. and Vercelli, A.  (eds)  (1984)  Non-
Linear Models of Fluctuating Growth. Berlin:Springer-Verlag.

Mullineux,  A.,  Dickinson, D.G. and  Peng,  W.  (1993)  Business
Cycles. Oxford:Blackwell.

Samuelson, P. A. (1939). 'Interaction between multiplier analysis
and  the  principle  of acceleration', Review  of  Economics  and
Statistics, XXXI, pp75-78.

Wegberg,  Marc  van. (1990) 'Capital Mobility and Unequal  Profit
Rates:  a  Classical Theory of Competition by Boundedly  Rational
Firms', Review of Radical Political Econonomics Volume 22 Numbers
2 and 3.


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