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The Benefits to Taxpayers from Increases in Students - RAND ...

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Analytic Approach 19<br />

State and Local Taxes<br />

State and local taxes are estimated like federal <strong>in</strong>come taxes. We assume that such taxes<br />

are also paid out of <strong>to</strong>tal family <strong>in</strong>come. Hence, state tax payment estimations also<br />

consist of a s<strong>in</strong>gle regression. We calculate state and local tax payments by apply<strong>in</strong>g<br />

average national tax rates <strong>to</strong> pre-transfer family <strong>in</strong>come reported <strong>in</strong> the SIPP. Similar<br />

<strong>to</strong> federal taxes, state tax payments are also evenly divided among the adults <strong>in</strong> the<br />

household for the OLS regression.<br />

Payroll Taxes<br />

Social Security and the hospital <strong>in</strong>surance portion of Medicare are f<strong>in</strong>anced by taxes<br />

levied on <strong>in</strong>dividual earn<strong>in</strong>gs. Not every <strong>in</strong>dividual pays these taxes; only the employed<br />

pay. <strong>The</strong>refore, we use a two-part model <strong>to</strong> estimate payroll taxes. In the first step, we<br />

fit a probit model <strong>to</strong> estimate the likelihood that an <strong>in</strong>dividual will have positive earn<strong>in</strong>gs<br />

and will, therefore, pay payroll taxes. In the second step, we use an OLS model<br />

<strong>to</strong> estimate the amount of payroll taxes paid, conditional on hav<strong>in</strong>g positive earn<strong>in</strong>gs.<br />

Payroll tax payment for every <strong>in</strong>dividual is calculated by apply<strong>in</strong>g the statu<strong>to</strong>ry payroll<br />

tax rates <strong>to</strong> <strong>in</strong>dividual earn<strong>in</strong>gs data <strong>in</strong> the SIPP. <strong>The</strong> specific response variable <strong>in</strong> the<br />

OLS is the logarithm of assumed payroll tax payments.<br />

Social Program Participation and Costs<br />

We estimate the effects of <strong>in</strong>creases <strong>in</strong> educational atta<strong>in</strong>ment on social support program<br />

spend<strong>in</strong>g <strong>in</strong> each of the eight largest social support and <strong>in</strong>surance programs<br />

for which sufficient data on program participation and spend<strong>in</strong>g are available. <strong>The</strong>se<br />

<strong>in</strong>clude<br />

• welfare programs (Temporary Assistance <strong>to</strong> Needy Families, general assistance,<br />

and other welfare)<br />

• subsidized hous<strong>in</strong>g (public hous<strong>in</strong>g and rental assistance)<br />

• food stamps (the Supplemental Nutrition Assistance Program)<br />

• Supplemental Security Income (SSI)<br />

• Medicaid<br />

• Medicare<br />

• Unemployment Insurance<br />

• Social Security (retirement, disability, and survivor programs).<br />

<strong>The</strong>se programs can be broadly divided <strong>in</strong><strong>to</strong> two categories: (1) social support programs<br />

that provide cash and noncash benefits <strong>to</strong> members of low-<strong>in</strong>come households<br />

and (2) social <strong>in</strong>surance programs that replace the lost <strong>in</strong>come of people who cannot<br />

work because of old age, disability, severance, etc.

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