*Economics of Inequality *

Thomas
Piketty

Academic
year 2010-2011

**Course Notes: Factor Shares and
Production Functions**

**Question: Are labor &
capital shares (factor shares) stable in the long run, & why?**

__1. Standard theory for factor share
stability: Cobb-Douglas production function__

Cobb-Douglas
production function: Y = F(K,L) = K^{α}L^{1-}^{α }

(typically,
α = 0.25 and 1-α = 0.75)

**>>>
Then for any interest rate r and wage rate v, Y _{K} = αY & Y_{L}
= (1-α)Y**

Intuition: with an elasticity of substitution between
K and L equal to 1, the substitution effect exactly compensates the price
effect

Demonstration: Take r and w as given.

Then profit maximization leads to F_{K} = r
& F_{L} = v

F_{K} = r means α K^{α-1 }L^{1-}^{α }=
r

I.e. αY/K = r

I.e. Y_{K} = rK = αY

[Alternatively,
F_{L} = w means (1-α) K^{α }L^{-}^{α }= v
, i.e. (1-α)Y/L = v,
i.e. Y_{L} = vL = (1-α)Y]

[Putting the capital demand and labor demand equations
together : K/L = [α/(1-α)]
v/r, i.e. if the relative price v/r rises by 1%, the capital-labor ratio
increases by 1%, i.e. annihilates the price effect]

>>> with a Cobb-Douglas
production function, the capital and labor shares are entirely determined by
technology: behavior – either labor supply or saving elasticities – does not
matter (note however that the assumption of competitive markets – firms maximize
profits by taking prices as given – does matter)

__2. Beyond Cobb-Douglas : CES
production functions__

In practice, F(K,L) does not seem to be exactly
Cobb-Douglas: historically, capital share was lower when capital/output was
lower >>> this suggests that the elasticity of substitution is above 1

Y = F(K,L) = [(1-a) L^{(γ-1)/ γ }+ a
K^{(γ-1)/γ}]^{γ/(γ-1)}

= CES production function with elasticity of
substitution between K and L = γ

Then if competitive markets r = F_{K} = a K^{-1/γ}
Y^{-1/γ}

I.e. α = capital share = rK/Y = a (K/Y)^{1-1/γ}

i.e. if we note β=K/Y, we have:

r = a β^{-1/γ}

α = a β^{1-1/γ}

I.e. r is always a declining function of β, but
α is an increasing function of β if and only if γ>1, i.e.
elasticity of substitution higher than 1

If γ=1, then Cobb-Douglas production function
F(K,L) = K^{α}L^{1-}^{α },
α = a does not depend on β: price and quantity effects exactly offset
each other

If γ is infinite, then linear production function
F(K,L) = rK+vL, i.e. fixed capital return r and labor productivity v (labor can
produce output without capital, and conversely), so that capital share
increases proportionally with β

If γ=0, then fixed-coefficient (“putty-clay”)
production function F(K,L) = min(rK,vL), where r and v are entirely given by
technology: one hour of work produces v units of output iff only we have
exactly v/r units of capital per hour of work, i.e. extra capital is useless;
and conversely capital destructions are devastating: when K is divided by 2,
then Y should be divided by 2 (half of labor becomes useless)

__3. Beyond
Cobb-Douglas: Multi-Sector Production Functions__

Another way to go beyond Cobb-Douglas production
functions is to relax the homogenous good/single sector assumption. I.e. an
important implicit assumption in the formulation Y=F(K,L) is that there exists
a homogenous consumption and capital good, i.e. no long run divergence in
relative prices; e.g. no divergence in the relative price of land, real estate,
oil, services, etc.

For instance, it would probably make more sense to
divide national income between a housing sector component (=rental value of
housing) and a non-housing, “productive” sector component (=net output of other
sectors; “productive” is the wrong term because housing also produces positive
value):

Y = Y_{H} + Y_{P}

with

Y_{H}
= F(K_{H}) = value of housing services

Y_{P}
= F(K_{P},L) = value of output from other productive sectors

On multi-sector growth models, see e.g. Baumol “The macroeconomics of unbalanced
growth” AER 1967