Effects of taxes on economic
behavior.
by Feldstein, Martin
National Tax Journal • March, 2008 • Forum: Reflections by Recent Recipients of the Holland
Medal, Part 1
Several studies have now used the Treasury's public use files
of individual tax returns to estimate the elasticity of taxable income
with respect to the net-of-tax rate (i.e., one minus the marginal tax
rate). In an early paper, I used panel data that followed the same
individuals before and after the major tax rate reductions of the 1987
Tax Reform Act in which the top tax rate fell from 50 percent to 28
percent (Feldstein, 1995). The difference in difference estimates based
on comparing incomes in 1985 and in 1988 implied a compensated
elasticity of about one. Subsequent work by others (e.g., Auten and
Carroll, 1998 and Gruber and Saez, 2002) using different data sets and
different estimating methods, found a range of estimates from about 0.4
to 1.0 for middle- and upper-income taxpayers.
There are of course disputes about the interpretation of this
behavioral response. Gordon and Slemrod (2000) have suggested that some
of this reaction may reflect a shift between corporate and personal
income. In the opposite direction, it should be noted that this
relatively short-run response does not allow for the effect of the tax
rate reduction on decisions about the choice of occupation and the
accumulation of human capital.
A more fundamental issue in the estimation of behavioral response
is that it assumes that the taxpaying unit is the decision-making unit
even when there are two working adults in the unit. This is of practical
importance when the husband and wife face different marginal tax rates
as they do in the United States when one, but not both of them, is
earning below the ceiling on Social Security taxable income. Because of
the ceiling on the payroll tax base, some couples will have different
marginal tax rates for the husband and wife. In a study of data on
Swedish households Gelber (2007) has shown that there are important
differences between husbands and wives in their income and substitution
elasticities and in cross-elasticities.
My judgement, based on the existing studies, is that an elasticity
of 0.5 for middle- and upper-income taxpayers (who pay the overwhelming
bulk of income taxes) is a reasonable estimate and probably a
conservative one. It is substantially higher than the response implicit
in the revenue estimates of the Treasury and the Joint Tax Committee. In
presenting illustrative calculations of tax proposals, such as the ones
discussed below, I have generally been cautious and assumed elasticities
of 0.4 and 0.5.
The official estimates used by the Treasury and the Joint Tax
Committee are generally depressed by the quite remarkable self-imposed
restriction that the changes of behavior implied by changes in tax rates
do not result in any change in GDP. In their analysis, a change in tax
rates can change the form of compensation, can change the realization of
capital gains, and can shift portfolios between taxable and tax exempt
securities, but it cannot alter the supply of labor or the level of real
compensation. To the extent that any change is admitted that alters GDP,
some offsetting assumption is made to keep GDP unchanged.
This "constant GDP" assumption eliminates the important
effect of changes in labor supply broadly defined, i.e., changes in
labor force participation rates, in hours worked, in the choice of jobs,
in the degree of effort, etc. Although the revenue estimators wish to
allow for changes in the form of compensation, the restriction that
there be no change in GDP makes it impossible to use the tax return data
to estimate the change in the form of compensation since the observed
changes in taxable incomes reflect both the change in total labor supply
(i.e., in potential labor income) and in the extent to which the
resulting change in potential income is taken in the form of taxable
cash. Since the changes in the form of compensation cannot be observed
or estimated separately, the revenue estimators are forced to make a
judgement based on their intuition, something very difficult for a civil
servant whose working conditions and degree of discretion in the form of
compensation are quite different from those in many private sector jobs.
The rationale for the "constant GDP" assumption is that
the projected level of GDP is established by the administration or the
Congressional Budget Office and, therefore, must be taken as a fixed
parameter by the revenue estimators. In my judgement, this makes no
sense at all. The GDP forecast could be taken as a baseline number on
which the effects of proposed tax changes can be superimposed. I wonder
how many members of Congress realize that the "revenue
estimates" given by the Joint Tax Committee staff have made this
arbitrary assumption of constant GDP.
Fortunately, the restricted nature of the estimated behavioral
effects is beginning to change and the official estimates of some
proposed tax changes do attempt to use the accumulating evidence on
behavioral responses. It would be good to have more transparent
descriptions of these changes so that the economics profession could
comment on the assumptions and the resulting estimates.
TWO EXAMPLES
Before turning to other aspects of taxpayer behavior, I will
illustrate the importance of behavioral responses by looking at two
examples. First consider an across the board tax increase in which every
tax rate is raised by one percent: the ten percent marginal tax rate
goes to 10.1 percent, the 25 percent to 25.25 percent, etc. My NBER
colleague, Dan Feenberg, used the NBER's TAXSIM model to estimate
how taxpayer behavior alters the estimated revenue effect of this tax
change. The analysis, based on 100,000 random tax returns for 2001
adjusted to income levels of 2004, calculates that with no behavioral
response (i.e., the so-called "static" estimate) tax revenue
would rise by seven and one-half billion dollars.
Using a very conservative compensated elasticity of tax revenue
with respect to the net of tax rate of 0.4 and an income elasticity of
0.15 (implying an uncompensated behavioral response elasticity of less
than 0.4) implied that the additional personal income tax revenue would
be only five billion dollars or two-thirds of the "static"
revenue estimate. The reduced taxable income would also lower payroll
tax revenue by some $400 million, bringing the total additional revenue
to just $4.6 billion or 57 percent of the "static" revenue
estimate (Feldstein, 2004).
The effect of taxpayer behavior on revenue can be even more
dramatic when the proposed tax change is not simply proportional. A few
years ago, I analyzed the proposal to raise the maximum taxable income
for the Social Security payroll tax by 25 percent, from $87,900 to
$110,000 (Feldstein, 2004). For someone with initial income at the top
of the new range, i.e., of $110,000, the tax base would rise by $22,100
if there were no behavioral response. In that case, the tax revenue
would rise by 12.4 percent (the payroll tax rate) of this increased tax
base or $2,740. But with a behavioral elasticity of 0.5 with respect to
the net of tax rate--a reasonable assumption for these high-income
individuals--the taxpayer would reduce taxable earnings (by working less
and taking more income as fringe benefits) to $102,000. This lowers the
extra payroll tax and, more importantly, also lowers the personal income
tax revenue and the Medicare payroll tax revenue. Calculations show that
the reductions in the personal tax revenue and in the Medicare payroll
revenue would actually exceed the extra Social Security payroll tax
revenue. The total taxes paid by this high-income individual would
actually decline if the payroll tax base were increased in this way.
Extending this type of calculation to the entire population of
taxpayers with incomes of more than $87,900, Feenberg and I found that
the rise in the payroll tax revenue would be $19 billion a year with no
behavioral response, but only $16 billion with a taxable income
elasticity of 0.5. The lower tax base shrinks the Medicare and Personal
Income tax revenue by a total of $11 billion, bringing the total revenue
gain down to just five billion dollars instead of the $19 billion
"static" estimate, implying that some two-thirds of the extra
Social Security funds would come as the result of a back door transfer
from personal income taxes and Medicare taxes.
Although these examples show the importance of taking behavioral
responses into account when calculating the revenue effects of major
changes in tax rates, there are strong advocates of continuing to use
the current "static" revenue estimates. They make two
arguments. First, since the behavioral elasticity is only a rough
estimate, it is inappropriate for use in revenue estimation. Second,
there are a very large number of detailed and complex tax proposals for
which revenue estimates must be produced. There would never be enough
time to do the research on the needed behavioral elasticities for these
many proposals. These arguments carry particular force because of the
legislative requirement that any projected increase in the budget
deficit (through a tax cut or spending increase) must be financed by a
decrease in the projected deficit (by a tax increase or spending cut).
In this context, revenue "scoring" must be "precise"
and must apply to all proposals.
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