The U.S. Treasury's Office of Tax Analysis (OTA) has as its functions
the evaluation of proposed changes to the federal tax law and the
creation of tax-law proposals to support the President's policies. OTA
is often requested to design a marginal-income-tax-rate structure that
will yield a particular distribution of tax liability. The problem is
characterized by the division of the tax-paying population into groups,
usually on the basis of income. For each group of taxpayers, a target
aggregate tax liability is specified and the tax schedule is designed to
achieve this.
Tax Rate Schedules
The U.S. individual income tax code uses a marginal tax rate
schedule. Each person's income is divided into brackets to which
different rates are applied. In a ``four-bracket" hypothetical example,
the first $10,000 earned is not taxed (the so-called ``zero-bracket"),
the next $8,000 (all dollars earned above $10,000 but $18,000)
is taxed at rate
, the next $20,000 earned (between $18,000 and
$38,000) is taxed at rate
, the next $30,000 (between $38,000
and $68,000) is taxed at rate
, and all income above $68,000 is
taxed at rate
. Hence an individual making $25,000 will pay
in taxes, while someone earning $100,000 will pay
taxes of
.
Designing Tax Rate Schedules
The OTA is often given the job of identifying a tax schedule that will
generate desired amounts of revenue for the government from different
taxpayer groups. For example, Table 9 shows the total
taxable income within four brackets by nine taxpayer groups. For
example, all of the individuals in taxpayer group 5 are projected to
earn $214B in income from bracket 1 and $2,072B of taxable income in
bracket 2. The revenue generated (taxes assessed for government
spending) from these people is billion dollars.
Policy makers have set revenue targets for each taxpaying group. For example, for group 5 in Table 9, it is desired that the $28,814B in revenues be acquired.
Table 9: Four-bracket Tax Schedule Aggregates and
Targets
Assignment
Using the data from Table 9 build and solve GAMS models for the following assignments.