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

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Chapter Two<br />

Analytic Approach<br />

<strong>The</strong>re is abundant evidence that people with more school<strong>in</strong>g earn higher wages and<br />

salaries. <strong>The</strong>re is also evidence that more highly educated people are more likely <strong>to</strong> be<br />

employed and <strong>to</strong> work full-time when employed. A direct result of higher earn<strong>in</strong>gs<br />

and greater employment is <strong>in</strong>creased <strong>in</strong>come and, consequently, <strong>in</strong>creased payments <strong>in</strong><br />

<strong>in</strong>come taxes and “consumption” taxes, such as sales, real estate, and excise taxes. Also,<br />

<strong>in</strong>dividuals with higher <strong>in</strong>comes are more likely <strong>to</strong> succeed us<strong>in</strong>g their own resources<br />

and, consequently, less likely <strong>to</strong> use social support systems. F<strong>in</strong>ally, <strong>in</strong>dividuals better<br />

able <strong>to</strong> support themselves are less likely <strong>to</strong> resort <strong>to</strong> crime and, consequently, less likely<br />

<strong>to</strong> be <strong>in</strong>carcerated.<br />

We use a nationally representative sample of roughly 40,000 <strong>in</strong>dividuals covered<br />

<strong>in</strong> all months of 2002 by the SIPP (U.S. Census Bureau, 2005a, 2005b, 2005c) <strong>to</strong><br />

estimate the relationships between education level and various government revenues<br />

and costs. 1 We use the estimated relationships between education level and various<br />

government revenues and costs <strong>to</strong> project the effects of <strong>in</strong>creases <strong>in</strong> an <strong>in</strong>dividual’s educational<br />

atta<strong>in</strong>ment on governmental revenues and costs over the <strong>in</strong>dividual’s lifetime.<br />

In do<strong>in</strong>g so, we assume that the estimated relationships between education level and<br />

governmental revenues and costs observed <strong>in</strong> 2002 will rema<strong>in</strong> approximately the same<br />

<strong>in</strong><strong>to</strong> the future.<br />

In project<strong>in</strong>g the effects of <strong>in</strong>creas<strong>in</strong>g an <strong>in</strong>dividual’s education, we estimate his<br />

or her contributions <strong>to</strong> and draws on public revenues <strong>from</strong> age 18 through age 79. We<br />

assume that all school<strong>in</strong>g occurs consecutively and that the effects of an <strong>in</strong>dividual’s<br />

educational atta<strong>in</strong>ment beg<strong>in</strong> immediately on completion of school<strong>in</strong>g. For example,<br />

we assume that a high school graduate attends school through age 17 and <strong>in</strong>teracts<br />

with the public budget <strong>from</strong> age 18 onward.<br />

Independent Variables<br />

<strong>The</strong> <strong>in</strong>dependent variables <strong>in</strong> the models described below are<br />

1<br />

Appendix A describes the data.<br />

13

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