SOCIAL WELFARE AND CONSUMPTION: THE
JORGENSON ANALYSIS
Dale Jorgenson provided an important extension of Atkinson's social welfare
analysis shortly after Atkinson's work appeared. He developed a method for
linking measures of social welfare to people's consumption patterns rather
than their incomes.
10
Econometric demand analysis of aggregate consumption data was well
established by the mid±1970s, including estimation of the aggregate con-
sumption function and major categories such as food, clothing, transporta-
tion, and so forth. Panel data sets that permit more microeconometric
demand analysis were not yet available. Jorgenson's idea was to meld econo-
metric demand analysis with the social welfare function by using the esti-
mated demand equations for the major consumption categories to track
changes in social welfare over time. His approach has three distinct steps:
1. Posit individual utility functions deWned over a set of consumer goods
and derive demand equations for the goods from the utility functions.
2. Estimate the demand equations in a manner that allows for recovery
of the unknown parameters of the utility functions.
3. Use the estimated utility functions as the arguments of a Xexible-form
social welfare function that registers society's aversion to inequality,
and track changes in social welfare over time.
The Estimating Share Equations
Jorgenson begins by assuming that each household, h, has an indirect utility
function, V
h
,deWned over three sets of arguments: the prices of the various
consumer goods,
~
P
k
; the household's income, M
h
; and a vector of household
characteristics,
~
A
h
, such as family size, age of the head of household, and
where the household resides:
V
h
V
h
(
~
P
k
;M
h
;
~
A
h
)h 1, ...,H (4:17)
The parameters of V
h
are assumed to be equal for all households and
constant over time. That is, households have identical, unchanging tastes.
They also face the same vector of consumer prices. Therefore, the diVerences
in households' utilities are due entirely to diVerences in their circumstancesÐ
that is, their incomes and characteristics.
Jorgenson employed the transcendental logarithmic (translog) indirect
utility function to approximate the true indirect utility function. The translog
is a second-order Taylor series expansion in the logs of the independent
variables around their means (each independent variable is scaled by dividing
10
D. Jorgenson, ``Aggregate Consumer Behavior and the Measurement of Social Welfare,''
Econometrica, September 1990.
4. THE SOCIAL WELFARE FUNCTION IN POLICY ANALYSIS 119
by its own mean, so that the log at each variable's mean is zero.). For
example, the translog approximation of V
h
assuming N prices and a single
characteristic A
h
,is
lnV
h
P
N
i1
a
i
lnP
i
a
M
lnM
h
a
A
lnA
h
1/2
P
N
i1
P
N
j1
b
ij
lnP
i
lnP
j
P
N
i1
b
iM
lnP
i
lnM
h
P
N
i1
b
iA
lnP
i
lnA
h
1/2b
MA
lnM
h
lnA
h
1/2b
MM
(lnM
h
)
2
1/2b
AA
(lnA
h
)
2
(4:18)
The estimating equations are obtained by taking log derivatives of the
translog function with respect to each of the prices and income:
qlnV
h
qlnP
k
qV
h
qP
k
P
k
V
h
k 1, ...N(4:19)
From Roy's identity, (qV
h
/qP
k
) l
h
X
hk
, where l
h
is the marginal utility of
income for household h, and X
hk
is the consumption of good k by household
h. Therefore,
qlnV
h
qlnP
k
l
h
P
k
X
hk
V
h
k 1, ...,N (4:20)
Similarly,
qlnV
h
qlnM
h
qV
h
qM
h
M
h
V
h
l
h
M
h
V
h
(4:21)
Dividing Eq. (4.20) by (4.21) yields:
qlnV
h
qlnP
k
qlnV
h
qlnM
h
P
k
X
hk
M
h
k 1, ...,N (4:22)
the expenditure share of good k for household h. The expenditure shares
become the dependent variables in the demand estimation. The advantage of
using the expenditure shares is that the researcher does not have to worry
about separating out prices from quantities.
Next, write out the price and income derivatives of the translog function
to see the full system of estimating equations:
qlnV
h
qlnP
k
a
k
P
N
i1
b
ik
lnP
i
b
kM
lnM
h
b
kA
lnA
h
k 1, ...,N
(4:23)
120 SOCIAL WELFARE AND CONSUMPTION: THE JORGENSON ANALYSIS
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