Title: IV' THE SCHUMPETERIAN APPROACH
1IV. THE SCHUMPETERIAN APPROACH
- Aghion and Howitt (Econometrica, 1992) A second
strand of EGT models a different pattern of
innovation in which innovation takes the form of
improvements in existing products. - Innovation thus creates new products or
technologies, as well as destroying the value of
old products or technologies by making them
redundant. These models are referred to as
vertical innovation or quality ladder models.
2THE SCHUMPETERIAN APPROACH
- The approach is much closer in spirit to the
process of creative destruction, which is how
Schumpeter famously characterized technical
progress - The fundamental impulse that keeps the capitalist
engine in motion comes from the new consumers
goods, the new methods of production or
transportation, the new markets, the new forms of
industrial organisation that capitalist
enterprise creates. The process incessantly
revolutionizes from within, incessantly
destroying the old one, incessantly creating a
new one. The process of Creative Destruction is
the essential fact about capitalism.-- Schumpeter
(1947), pp. 823.
3THE SCHUMPETERIAN APPROACH
- Aghion and Howitt (1992) introduced the seminal
model in this vein, which they also summarize in
Aghion and Howitt (1998, Chapter 2). - Unlike the model in Romer (1990), the Aghion and
Howitt (1998) version of this model abstracts
completely from capital accumulation. - Romer horizontal innovation, technical progress
takes the form of introducing new inputs. But
input i introduced at t is no more productive
than input ik introduced at ts.
4THE SCHUMPETERIAN APPROACH
- Two new issues
- Creative destruction (Schumpeter). Technical
progress create loss (destruction of rents) as
well as gains. - Critical role of forward-looking expectations.
The amount of research carried on today depends
on the expected duration of the rent generated by
the innovation. If there is expectation that much
research activities will be carried on in the
future the expected benefit from todays
innovation is low, and little research activity
is financed today. - (RD)t VE((RD)t1), Vlt0
5The Model
- Productive Inputs
- Unskilled labor (or any land-type factor) L
- Skilled labor H
- Knowledge, or an index of the level of
technology A - Intermediate inputs of different quality, each
indexed by an integer saying the progressive of
its invention x(i), i1,2,
6The Model 3 sectors
- (i) Research sector using H to produce DESIGN
for better intermediate goods. The designs are
patented, and the patents sold to firms in the
intermediate sector - (ii) Intermediate good sector a firm buys a
design (i) and acquires the exclusive right to
produce the corresponding input (i) forever. The
technology to produce each intermediate input is
identical, CRS to the only variable input H.
However, once a new design is introduced the
producer goods previously manufactured become
obsolete. - (iii) Final good sector using unskilled labor
(L) and the most productive intermediate input
(x(i)) to produce the unique consumption good.
7The Model Technology
- Final good sector
- (L1)
- T is a continuous time index i0,1,2 indexes
inventions by the order of introduction. - A(i) is a parameter indicating the productivity
of the last intermediate input invented before
time t. - Intermediate good sector
- Firm producing x(i) must have bought the design
(i) before starting manufacturing the
corresponding product
8The Model Invention
- Research sector
- The invention process is modeled as a stochastic
process, i.e., when resources are invested by a
firm into RD, there will be a positive
possibility of success (inventing a new design)
and a positive possibility of failure (no
invention). - The possibility of success increases with the
number of skilled workers involved in the
activity. A firm employing h2 workers in RD at
time t will discover a new design with
probability lh2dt and will discover nothing with
probability (1- lh2)dt. There are no spillovers
across firms in research new discoveries
randomly occur with a Poisson arrival rate of
lH2t.
9Assumptions Invention
- A Poisson process with arrival rate q(lH2) has
the following properties - Let s be the length of a time interval (t, ts).
Then - The interval from 0 up to the first event, and
thereafter the interval between successive
events, are independently distributed with the
exponential probability density function qe-qt
The exponential distribution - The expected waiting time between two successive
events is 1/q, which is a function of the amount
of skilled workers employed in the Res sector. - When a new invention arrives, A(i) jumps to a
higher level, meaning productivity growth occurs
at discrete intervals. The law of motion of A is
A(i) A0gi A(i) g A(i-1) where ggt1.
10Solution Final Good
- Final goods (competitive) producers choose
intermediates to maximize profits. -
- The derived inversed demand for intermediate i is
- Like in Romer (1990) a constant elasticity demand
function for the intermediate input x(i)
11Solution Intermediate Good
- IGS is a monopoly. Given the demand constraint,
the monopolist chooses production so as to max
The value of wH and H1 will change only when an
invention is introduced successfully
12Solution Research
- The objective of a (risk-neutral) firm in RD is
to choose H2 to max the expected profit, define
as - where V(i1) is the value of the (i1)st
innovation, and lH2 is the prob of discovering a
new design by employing H2 workers. For
maximization, the Kuhn-Tucker conditions are -
-
- Now we need to determine V(i1).
13Solution Research
- V(i1) expected present discounted value of the
flow of monopoly profit pI generated by the
(i1)st innovation over an interval whose length
is random. -
- 1/lH2(i1) expected duration of the monopoly
-
- Why? See the example.
14An example
- EXAMPLE A risk-neutral agent is offered at t a
bond which yields 10 dollars at t1, then at t2
it participates to a lottery where - with prob. p 0.15 it expires ( and becomes
worthless ) - with prob. (1-p) 0.85 it pays 10 dollars and the
right to participate to a new round of the
lottery at t3. - The story repeats itself thereafter until when a
negative draws is incurred. - The yearly interest rate is constant, r 0.1.
- What is the value of this bond to our agent?
15An example
SOLUTION. The value is So, the value is 40
Dollars. The problem in continuous time (where
p is the arrival rate of a negative draw and r as
the interest rate ) is analogous Now,
remember that the probability that a design
becomes worthless is precisely the probability
that a new invention comes along, i.e.
16Intertemporal Spillover
- There is an important spillover in the model.
- An innovation raises productivity forever.
- It follows each subsequent innovation to raise
At, by the same multiple g.
17Equilibrium
- Combining those FOCs in the Res sector and
substituting away V(i1), we get -
- LHS MC the cost of a RD worker divided by her
MP, - RHS MB the present discounted value of the
rent(profit) generated by an innovation, where
discounting considers the obsolescence rate of
the innovation
18Equilibrium
- Combining FOCs in the other two sectors and the
resource constraint, H1H2 H, thus, -
-
- Note
- MC is increasing with current employment in Res
sector - MB is decreasing with future employment in RD
- This is the original point about creative
destruction.
19Equilibrium
- Two reasons why current research depends
negatively on future research (f lt0) - It shortens expected lifetime of the monopoly
enjoyed by the innovator - It raises future wages of skilled workers - also
employed by the IGS firm- hence reducing expected
pI(i1).
See Fig 1, p. 332 H2(i) f(H2(i1))
MC, MB
MC
MB
H2
H2,0
H2,2
H2,1
20Two interesting cases
- Two-period cycle a pair (H20, H21) s.t. H20 f
(H21) and H21 f (H20) - Zero growth trap a two-period cycle s.t. either
H20 or H21 is zero. The prospect of high research
in odd intervals discourages research in even
intervals.
MC, MB
MC
MB
H2,0
H2,1
21Steady State
- A unique stationary equilibrium exists,
-
-
- Thus, steady state H2
- decrease with r
- increase with g (size of each innovation)
- increase with l (efficiency of RD)
- increase with H
- decrease with a.
22Market power and steady state H2
- For s.s. H2 to be positive we need
- H2 increases with the degree of market power
(measured by 1-a(p-mc)/p in IG sector, the share
of the equilibrium revenue accruing to monopoly),
implying monopoly is good for growth - A min degree of monopoly power ( )
- If the degree of market power falls short of this
minimal value, the flow of monopoly profit from
the next innovation would not be sufficient to
induce positive research.
23Balanced Growth
- In the interval during which the ith innovation
is adopted, real output is - Y remain constant through all the period in which
technology I is adopted. Thus, - The time path will be a random step function
starting at lnY(0). - The size of each step equal to the constant ln(g)
- The time between each step (D1, D2, ) is a
sequence of iid variables exponentially
distributed with .
24Balanced Growth
- Output is a nonstationary stochastic process
- .
Average growth rate and its variance are
increasing functions of the size of innovation
and the proportion of skilled labor force
employed in research.
25Welfare analysis
- CE vs. PO? No K ? Ct Yt
- The social planner simply choose the sequence
H2tt08 to max
U(0) is an initial flow of output discounted by
the social discount rate, lower than r since
output will be growing over time.
26Welfare analysis
- Appropriability effect monopolist only cares
about his surplus, not the total welfare effect
of innovation
- Business stealing effect the planer realizes
that innovation also causes a destruction
- Intertemporal spillover (discount rate) social
planner considers that the benefit to the next
innovation will continue forever, whereas private
research firm ignore it.
27Welfare analysis
- Which growth rate is higher? Market or PO?
- Ambiguous since
- gm lt go if appropriability and intertemporal
spillover effects dominate. - gm gt go if business-stealing and monopoly
distortion effects (wage to skilled labor is
less) dominate. - The solution
Economic intuitions?
28Welfare analysis
- For large innovation sizes growth tend to be
inferior in the decentralized than in the optimal
economy - When a is very small (high monopoly power) and
innovation size is small the laissez-faire
economy can generate too much growth.
29The exponential distribution
- P(T1gtt) P(N(t) 0) eqt
- T1 the waiting time of the first occurrence
- P(T1ltt) 1- eqt
- ?P(T1t) dP(T1ltt)/dt qeqt Assumptions
Invention