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

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Analytic Approach 27<br />

1997 changes generally reflected concerns that these programs were <strong>to</strong>o often used<br />

by people who did not need the support offered by the programs. This suggests that<br />

future changes, if any, are more likely <strong>to</strong> further reduce access <strong>to</strong> these programs. If so,<br />

<strong>in</strong>creases <strong>in</strong> the <strong>in</strong>come differential associated with <strong>in</strong>creases <strong>in</strong> education will result <strong>in</strong><br />

greater reductions <strong>in</strong> social program participation and, consequently, greater costs than<br />

the estimates presented here.<br />

Incarceration patterns reflect both crim<strong>in</strong>al activity and sentenc<strong>in</strong>g patterns.<br />

Changes <strong>in</strong> sentenc<strong>in</strong>g guidel<strong>in</strong>es and <strong>in</strong> early release programs stimulated by prison or<br />

jail overcrowd<strong>in</strong>g will <strong>in</strong>fluence <strong>in</strong>carceration patterns and, consequently, costs. We are<br />

not aware of any systematic trends <strong>in</strong> the fac<strong>to</strong>rs that affect <strong>in</strong>carceration costs. <strong>The</strong>refore,<br />

the patterns and costs implied by the available data are the best available basis for<br />

the estimates.<br />

Putt<strong>in</strong>g the Results <strong>in</strong> Perspective<br />

In this study, we estimate the effects of <strong>in</strong>creased educational atta<strong>in</strong>ment on three<br />

major types of government revenues and costs that directly affect taxpayers and for<br />

which data are available. <strong>The</strong>se types of revenues and costs are<br />

• <strong>in</strong>creased tax payments and payments <strong>in</strong><strong>to</strong> social support and <strong>in</strong>surance<br />

programs<br />

• reduced spend<strong>in</strong>g on social support and <strong>in</strong>surance programs<br />

• reduced spend<strong>in</strong>g on prisons and jails.<br />

Our estimates are based on models developed us<strong>in</strong>g the 2002 SIPP data. <strong>The</strong><br />

models themselves are subject <strong>to</strong> statistical variation. If a somewhat different set of<br />

<strong>in</strong>dividuals had been <strong>in</strong>cluded <strong>in</strong> the SIPP survey, the data would be slightly different<br />

and the result<strong>in</strong>g models somewhat different.<br />

However, the statistical variation <strong>in</strong> the models pales <strong>in</strong> comparison <strong>to</strong> the uncerta<strong>in</strong>ty<br />

<strong>in</strong>herent <strong>in</strong> estimat<strong>in</strong>g future trends and patterns. As noted above, our specific<br />

estimates are based on several fundamental assumptions. We assume that the relationships<br />

between education level and <strong>in</strong>come and the consequent relationships between<br />

education level and tax payments, social program participation and benefits, and <strong>in</strong>carceration<br />

patterns will not change significantly over time.<br />

Changes <strong>in</strong> some of these relationships are likely <strong>to</strong> occur at some future date.<br />

Consequently, the estimates presented here cannot be viewed as precise. However, as<br />

we will demonstrate <strong>in</strong> subsequent sections of this report, the magnitudes of the estimates<br />

are generally so large that even changes that substantially reduce the effects of<br />

<strong>in</strong>creases <strong>in</strong> educational atta<strong>in</strong>ment on government revenues and costs will not reduce<br />

the effects of such <strong>in</strong>creases <strong>to</strong> zero. Moreover, changes that <strong>in</strong>crease the effects of edu-

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