A number of my posts have attempted to compare and draw
parallels between very different approaches in economics. It is an exercise I find very interesting and
informative. In this vein, I have
recently gone about constructing a Stock-Flow Consistent (SFC) version of the
Diamond growth model set out in the paper National Debt in a Neoclassical Growth Model.
The first thing to make clear is that the stocks and flows
in Diamond's model are perfectly consistent, so I don't mean that I am somehow
correcting accounting errors. Rather,
what I have attempted to do is to restructure the model into the format
typically used in post-Keynesian stock-flow models. This looks like the models that appear in
Godley & Lavoie's Monetary Economics.
With appropriate choice of parameter values, however, it is structurally
equivalent to Diamond's neoclassical model and produces the same results.
The purpose of this exercise was to focus on the behavioural
assumptions of the model and see where post-Keynesian and neoclassical views
might diverge. Doing so requires "padding
out" the original model a bit. Most
notably, Diamond's model involves only real values - there is a real wage
level, but no separate price and nominal wage levels. This doesn't fit well with a post-Keynesian
worldview, so a major innovation is to turn this into a monetary model with
nominal values, as well as real.
As it turns out, this is quite a useful exercise. One of Diamond's main themes is the impact of
national debt, and including prices and inflation allow us to examine some
dynamics in a richer way than what is covered in that paper. This was also part of my purpose in undertaking
this exercise and I intend to devote a separate post to examining the role of
national debt within this model and saying something about Diamond's
conclusions.
As usual I have relegated the equations and variable listing
to the end of the post, but the schematic below illustrates the structure of
this model. The policy tools are shown
by the dotted boxes and the arrows show the direction of causation. The dotted arrows show causation through
expected future values.
There are two assets in this model: government bonds and
physical capital. Firms hold capital and
households own the firms. I have assumed
that households fund firms' capital investment by making capital contributions. Households hold bonds directly. I have not include banks and bank money. I could easily do so but it would add
complexity, and it would only make a difference if I wanted to start making additional
assumptions about how banks behave. If
you worry about the lack of money, imagine there's a bank that holds all the
government bonds, funded by interest bearing deposits held by households.
The table below then shows the flow of funds matrix for the
model.
Households
|
Firms
|
Government
|
|
Consumer spending
|
-C
|
C
|
|
Investment expenditure
|
-I, I
|
||
Government spending
|
G
|
-G
|
|
Wage bill
|
WB
|
-WB
|
|
Operating surplus
|
OS
|
-OS
|
|
Taxes
|
-T
|
T
|
|
Bond interest
|
r.B(-1)
|
r.B(-1)
|
|
Capital contribution
|
-ΔK
|
ΔK
|
|
Bond issuance
|
-ΔB
|
ΔB
|
Although the causal structure illustrated in the schematic is
essentially post-Keynesian, the model can still produce the same results as
those of Diamond's neoclassical model.
However, this does depend on what we assume about certain
parameters. There are also a few particular
points about the way the model is drawn up.
I want to look at these now.
Expectations
Where expected future values are used in SFC models, these
are usually based on some form of adaptive expectation mechanism. The Diamond model requires forward looking
expectations, i.e. expected values have to be equal to the actual outcome. This makes the solving process for an SFC
model rather more complicated, but it is perfectly doable (see note on Solution
Technique below)
Adjustment Periods
SFC models will typically involve a number of functions
where values adjust incrementally towards target values. I have included two here: the capital stock
and nominal wages. However, to conform
with Diamond's model, we have to assume that the lag on adjustment is zero,
i.e. these values adjust fully in the current period. Because this applies to wages, it implies
that there is no wage or price stickiness.
This must be the case, of course, in Diamond's model as nominal values do
not figure.
As Diamond's time periods
each represent half a lifetime, there is something to said for allowing full
adjustment.
Production Functions
Diamond uses a Cobb-Douglas production function. In my version, if the parameters are chosen
appropriately, this is implicit in the labour demand function. This function allows employment to follow
from the level of aggregate demand and also provides that greater capital
investment improves labour productivity.
Whilst this is generally OK, I think post-Keynesians would (rightly) be
suspicious of this type of relationship in a model. Whilst it is nice to be able to tie output,
employment and capital investment together, I think that use of artificial
production functions can throw up spurious results, which may then be taken for
granted.
Pricing in this model is based on a mark-up to unit labour
costs. Diamond's version uses marginal
cost pricing. With Cobb-Douglas
production and suitable choice of parameter, these are equivalent.
Consumption Coefficients
Consumption in this model is based on labour income,
investment income and wealth. Diamond's
model is an overlapping generations model with two period lives, where
generations work in the first period only and spend their savings in the
second. To conform with his model, the parameters
for investment income and wealth therefore need to equal one. A high parameter on wealth is not
unreasonable given the length of the time period and this would reduce if we
were to adapt the model to three period generations, for example. However, many post-Keynesians would not like having
a higher parameter on investment income than on labour income, pointing to the
importance of recognising household heterogeneity beyond generational
differences.
Taxation
As is common in neo-classical models, Diamond assumes that
taxes are lump sum. Usually in SFC
models, the policy tool is the rate of tax with the amount of tax determined
endogenously. This is much better, in my
view, but I have used lump sum taxes here to conform with Diamond. It actually makes little qualitative
difference to the results.
Risk Premium
Diamond assumes that, in equilibrium, the same return applies
on physical capital as on government bonds.
Typically SFC models would look to include some form of risk premium on
the former. Again, I don't think it
qualitatively impacts much on the results.
Labour Supply
Diamond assumes labour is supplied inelastically, i.e. the
amount people wish to work is fixed. I have allowed employment to vary, but used
employment levels to affect the real wage target, as is conventional in SFC
models. In fact, as we allow the elasticity
of the real wage target with respect to employment to tend to infinity, we
approach the same position as in Diamond's model. I could rearrange my model to achieve this
exactly, but to keep it closer to the normal SFC structure, I have simply used
a very high parameter, i.e. made target real wages very sensitive to employment
variation.
Technical details follow.
I will do a post (probably my next), looking at some results of this
model and showing how it gives some additional perspective on Diamond's conclusions
on the impact of national debt.
Equation Listing
GDP is the sum of consumer expenditure, private investment
and government expenditure.
(1) yt
= ct + it + gt
Real consumer expenditure is based on real values of income and carried forward wealth. Different coefficients are applied to
post-tax wage income and to investment income.
(2) ct = α1 ( WBt / pt
- tt ) + α2 ( OSt + rt Bt-1 )
/ pt + α3 ( kt-1
+ Bt-1 / pt) 0 <= α1, α2,
α3 <= 1
Investment is some proportion of the difference between the
target capital stock and the existing capital stock,
(3) it
= ε1 ( ktt - kt-1) 0<=ε1<=1
where the target level of the capital stock is based on
expected future demand levels and the expected real rate of interest.
(4) ln( ktt
) = β1 + β2 ln[ E( yt+1 ) ] + β3
ln[ E( rrt+1 ) ] β2 > 0 ; β3 <
0
The wage bill is the product of the wage rate and employment.
(5) WBt
= wt et
Operating surplus (profit) is nominal GDP less the wage
bill.
(6) OSt
= yt pt - WBt
Employment is a (positive) function of output and a
(negative) function of the capital stock.
(7) ln( et
) = ψ1 + ψ2 ln( yt ) + ψ3 ln(
kt-1 ) ψ2
> 0 ; ψ3 < 0
Nominal wages adjust incrementally towards the level that
would achieve the target real wage, given the price level.
(8) wt
= ε2 wrtt pt + ( 1- ε2 ) wt-1 0<=ε2<=1
where the target real wage is a function of the level of
employment.
(9) ln( wrtt
) = φ1 + φ2 [ ln( et ) - ln( nt )
] φ2 >
0
Prices are a fixed mark-up to unit labour costs.
(10) pt
= λ wt nt / yt λ>1
The expected real rate of interest is based on the nominal
rate on government bonds and the expected price level for the next period.
(11) E( rrt+1
) = ( 1 + rt+1 ) pt / E( pt+1 ) - 1
Finally, two equations govern the development of the stock
of government bonds and the stock of capital.
(12) Bt
= (1 + rt ) Bt-1 + gt pt - tt pt
(13) kt
= kt-1 + it
Variables
Real quantities are represented by lowercase letters and nominal
quantities by uppercase letters.
Subscripts denote the time period.
The values for stocks (capital and bonds) are measured at the end of the
period denoted by the subscript. Interest rates are the rate paid in the period denoted by the subscript. E( ) denotes an expected value.
Name
|
Description
|
c
|
Consumer spending
|
e
|
Employment
|
g
|
Real government expenditure
|
i
|
Investment
|
k
|
Capital stock
|
kt
|
Target capital stock
|
n
|
Workforce
|
p
|
General price level
|
r
|
Nominal interest rate on government debt
|
rr
|
Real rate of return on government debt
|
t
|
Taxes
|
w
|
Nominal wage level
|
wrt
|
Target real wage
|
B
|
Government bonds
|
OS
|
Operating surplus
|
WB
|
Wage bill
|
Exogenous variables are the policy tools g, t and r and the
workforce n. In general n is assumed to
grow at a fixed rate and g and t are assumed to grow at the same rate as n,
apart from any shocks.
Solution Technique
The first step in solution was to determine per capita
steady state values. A simulation was
then run over a long period by solving each period sequentially, using the
steady state values to form expectations.
Subsequent simulations were then run using values from the previous
simulation to derive expected values, until the difference between expectations
and actual outcomes was negligible.
Pinning down the price level expectation can be quite
tricky. The technique used was to rely
on the government budget constraint, using a form of Fiscal Theory of the Price
Level. Values for future real rates of
return and government surpluses were taken from the previous simulation and
compared with the nominal bond stock from the current period to determine an
implied price level for the next period.
This technique proved very effective in facilitating rapid
convergence.
[EDIT - equation 12 modified for typo spotted by Anton.]
[EDIT - equation 12 modified for typo spotted by Anton.]