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Dynamic
Scoring:
Not So Fast! |
|
RUDOLPH G.
PENNER |
Advocates
for
pro-growth
tax cuts are
frustrated.
They are frustrated
because formal
revenue loss
estimates used
by Congress
during the
budget process
ignore revenues
recouped from
the increase in
economic
activity which
occurs as a
result of the
pro-growth tax
cuts. Thus,
formal revenue
estimates tend
to exaggerate a
pro-growth tax
cut’s negative
effects on the
budget deficit.
This is
obviously
illogical, but
those who are
frustrated and
want the error
corrected should
be cautious.
They may be
cursed by
getting what
they wished for.
The fact of the matter is
that economists
differ
significantly in
their assessment
of the effects
of tax cuts. A
good number of
economists also
believe that
more research
into these
effects — also
referred to as
dynamic analysis
— may narrow
some of the
differences in
these
assessments, and
that new
research should
definitely be
encouraged.
These economists
should be happy,
for that is
exactly what’s
happening.
The president’s 2007
budget would
establish a
Division on
Dynamic Analysis
in the U. S.
Treasury. The
establishment of
this office
follows up on
the decision of
the Joint
Committee on
Taxation (JCT)
to provide a
full dynamic
analysis of the
2003 tax bill.
The JCT has done
similar studies
of other tax
options, as
well. The
Congressional
Budget Office (CBO)
also routinely
conducts dynamic
analyses. The
dynamics of the
president’s
budget are
analyzed
annually, and
numerous papers
study the
economic effects
of different tax
and spending
policies. Of
course, in these
cases, dynamic
analysis is
conducted for
informational
purposes only
and plays no
formal role in
Congressional
budgeting.
Formal, static scoring is
used to enforce
budget
discipline. For
example, the
Congress’s
budget may set
a limit on
revenue losses.
Analysts from
the JCT or CBO
then evaluate
tax policy
changes, and if
the estimated
revenue loss
exceeds the
limit, the
legislation is
subject to a
point of order
that can only be
overcome by 60
votes in the
Senate. Formal
scoring is said
to be static,
because tax
policy’s effects
on macroeconomic
variables such
as gross
domestic product
(GDP) and the
consumer price
index (CPI) are
not considered.
However, not all
effects on
individual
behavior are
ignored. If, for
example, the
Congress is
considering a
cut in the
gasoline excise
tax, the revenue
estimate will
assume that the
demand for
gasoline will
rise as its
price falls. It
will not,
however,
consider any
effect on the
CPI. Thus, the
estimate will
ignore the
deficit
reduction from
using a lower
CPI to index
benefit programs
and the income
tax rate
structure.
It seems illogical to
ignore such
effects, but
there are
important
conceptual,
political, and
logistical
reasons why a
more complete
analysis would
be difficult, if
not impossible.
Conceptually,
the tax cut’s
effects on
economic
activity depend
crucially on how
it is financed.
Is it by
immediate
spending cuts,
or spending cuts
in the future?
Is it by future
tax increases,
or by more
government
borrowing? Or is
it financed
simply by
printing more
money? To
produce a single
estimate,
analysts would
have to decide
which of these
mechanisms is
most likely.
That would
immediately land
them in
political hot
water, because
the Congress
gets very
annoyed when
their employees
forecast future
votes on policy
issues.
However, there is a more
unseemly
political
problem. Many
tax cuts have a
negative impact
on economic
activity. For
example,
increasing the
generosity of
the tax
treatment of
housing will
draw investment
from more
productive
activities and,
in the process,
dampen economic
growth. It would
bias the policy
process terribly
to examine
positive, but
not negative,
impacts. One can
be sure, though,
that Congress
will tire of
dynamic scoring
quickly if
negative impacts
are made
explicit.
But they need not worry.
Consistent
dynamic scoring
is logistically
impossible given
current
technology.
Scoring is a
hectic process.
The CBO and JCT
produce hundreds
of scores each
year. Congress
always wants
scores
instantaneously,
and analysts
often work
through the
night to keep
them happy.
Dynamic scoring
would force
analysts to make
many more
judgment calls
than they do
today. Quality
control would be
difficult, and
that implies a
high risk that
ideological
biases will
pollute the
analysis. Even
if that doesn’t
happen, dynamic
analysis would
be just as
logically
inconsistent as
static
analysis.
As it stands now, all
analysts work
from the same
assumptions
regarding the
GDP, CPI, and
other
macroeconomic
variables. But
under dynamic
scoring, analyst
A may decide
that provision
203(c) of a tax
bill raises the
GDP.
Theoretically,
that probably
should affect
the score
provided by
analyst B for
section 413(d)
of that same
bill. But what
if analyst B
decides that his
provision
reduces GDP?
Analyst A should
then redo her
estimate, but
she probably
won’t have time.
The problem
grows
exponentially,
because dozens
of analysts may
be working on
tax and spending
proposals
simultaneously,
all changing
macro variables
at will and
using
inconsistent
assumptions
without the full
knowledge of
anyone in
authority.
There may come a day when
there is
sufficient
agreement about
dynamic effects
to automate the
process using
powerful
computers. But
we are many
decades from
such technology.
So, for a very
long time, the
Congress will
have to be
satisfied with
static scoring.
That is not so
bad. The CBO’s
dynamic analysis
suggests that
static scoring
is usually
pretty accurate.
The middle of
their wide range
of estimates of
the dynamic
effects of a 10
percent income
tax rate cut
implies that
static analysis
overstates the
increase in the
deficit by less
than 14 percent
over a 10-year
period.
Oratory praising the beneficial
effects of tax
cuts may be more
effective when
unrestrained by
such analysis.
RF
Rudolph G.
Penner is a
Senior Fellow at
the Urban
Institute and a
former director
of the
Congressional
Budget Office. |
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