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The Fiscal Impacts of College Attainment

Abstract

This study quantifies one part of the return to U.S. public investment in college education, namely, the fiscal benefits associated with greater college attainment. College graduates pay much more taxes than those not going to college. Government expenditures are also much less for college graduates than for those without a college education. Indeed, over an average lifetime, total government spending per college degree is negative. That is, direct savings in post-college government expenditures (conservatively, about $85,000 per four-year-equivalent degree over an average lifetime) are greater than government expenditures on higher education (generously, about $74,500 per degree). Plus, the direct extra tax revenues from college graduates alone (roughly $471,000 per degree over a lifetime) are more than six times the gross government cost per college degree. The average real fiscal internal rate of return on government investment in college students is conservatively estimated to be 10.3%.

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Notes

  1. According to data from State Higher Education Executive Officers’ State Higher Education Finance project, national real state and local appropriations for postsecondary education in FY 2005 were 3.6% lower than in FY 2000 (these appropriations have increased in more recent years, though), while there were increases in state income and in the number of college students during this period. For detailed discussion of this issue see Longanecker (2006) and Trostel and Ronca (2009).

  2. This is at least partly due to increasing fiscal pressures from slow growth in state tax bases and increasing state spending on Medicaid and corrections (see Hovey 1999; Kane et al. 2005).

  3. A few of the many examples are Card (1999), Mortenson (2001), Harmon et al. (2003), Baum and Payea (2004), Institute for Higher Education Policy (2005), and Barrow and Rouse (2005).

  4. Some examples are Haveman and Wolfe (1984), Wolfe and Haveman (2003), Baum and Payea (2004), Lochner and Moretti (2004), McMahon (2004), Rizzo (2004), Topel (2004), and Institute for Higher Education Policy (2005).

  5. There is also some similar literature that has quantified the long-term fiscal impacts of government investment in pre-school programs (e.g., Currie 2001; Heckman and Masterov 2004; Lynch 2004; Belfield et al. 2006), and some recent literature that has quantified the fiscal effects from high school completion (e.g., Krop 1998; Vernez et al. 1999; Goldhaber and Player 2003; Brady et al. 2005; Levin et al. 2007).

  6. Following standard practice, the absence of cohort effects is implicitly assumed. That is, average earnings across ages in a given year are implicitly assumed to reflect average earnings over individual’s lifecycles.

  7. To be specific about assumed social-insurance receipts during college, degree holders are assumed to receive the level of benefits received by average graduates with: high school diplomas at age 19, associate’s degrees at age 21, bachelor’s degrees at age 23, master’s degrees at age 25, and the interpolated values at ages 20, 22, 24, and 26. For example, the imputed social-insurance benefits during college for a master’s degree is B H19  + (B H19  + B A21 )/2 + B A21  + (B A21  + B B23 )/2 + B B23  + (B B23  + B M25 )/2, where B is the average annual level of benefits, the superscripts H, A, B, and M, respectively, denote high school, associate’s degree, bachelor’s degree, and master’s degree, and the subscripts denote age.

  8. With the exception of payroll taxes, the burden of taxes is assumed to fall on the payers. The real burden of employers’ share of federal payroll taxes is assumed to be borne by workers.

  9. See O’Hara (2004) for information on the CPS procedures used to estimate individuals’ tax burdens.

  10. See Card (1999) and Harmon et al. (2003) for recent reviews of this literature.

  11. See Groot and Maassen van den Brink (2004, unpublished manuscript), Cutler and Lleras-Muney (2006), and Chevalier and Feinstein (2006) for recent reviews of this literature.

  12. For surveys of this literature, see Katz and Autor (1999) and Autor et al. (2005).

  13. These adjustments probably err on the high side (i.e., conservative in estimating the fiscal return to states). Trostel (2007) also found that the net interstate leakage of new college graduates is evidently less for the case of public colleges than for private colleges. With the exception of professional and doctorate degrees, there appears to be no net interstate loss of new graduates from public institutions. The net loss of new professional and doctorate graduates to other states is evidently about the same for public and private institutions. Because most state support for college students is clearly directed toward those in public institutions, the emphasis in this study is on graduates from public colleges. Nonetheless, the more conservative approach is taken.

  14. For example, see Hansen and Weisbrod (1969) and Fernandez and Rogerson (1995).

  15. School lunches are for the family rather than for the individual. It seems appropriate to include the value of school lunches for children.

  16. Medicaid benefits are for the family rather than for the individual, because unlike other forms of public assistance, eligibility rules differ for parents and children, and it seems appropriate (and consistent) to include the Medicaid benefits of children. Also, the CPS measures Medicaid benefits as its insurance market value as opposed to the value of health care bought with Medicaid.

  17. The CPS question about health condition suggests that this could be important. Among recipients of Medicaid age 27 and older, 38% of those with only a high school education report their health to be very good or excellent, compared to 54% for those with a bachelor’s degree as their highest qualification.

  18. To be more specific, federal spending on welfare is derived as the sum of direct payments for food stamps and housing assistance in Consolidated Federal Funds Report plus grants to state and local governments from the Department of Agriculture’s Food and Nutrition Service (mostly child nutrition, food stamps, WIC) and from the Department of Health and Human Services’ Administration for Children and Families (Temporary Assistance to Needy Families, Head Start, and various other programs) in Federal Aid to States. State and local welfare spending is derived as public welfare less vendor payments (i.e., Medicaid) in State and Local Government Finances less the federal grants above.

  19. As with Medicaid, Medicare benefits are for the family rather than for the individual because of the importance of spousal benefits, and Medicare benefits are measured as their insurance market value.

  20. The CPS question about health condition again suggests that this could be important. Among recipients of Medicare, 33% of those with only a high school education report their health to be very good or excellent, compared to 50% for those with a bachelor’s degree as their highest qualification.

  21. The relationship between college education and work disabilities is similar to the relationship between college education and health. CPS data indicate that for those aged 27 and older, 24% of those with only a high school education report a disability or health problem that limits their ability to work, compared to 15% of those with a bachelor’s degree as their highest qualification.

  22. These unemployment rates across education categories are calculated for those within the ages of 27 and 79 using the CPS outgoing rotations groups.

  23. Unemployment taxes are ignored in the calculations because employers bear the statutory liability. However, the real incidence of the tax may fall on employees to at least some extent.

  24. This cost per prisoner is calculated using all corrections costs, including probation. Thus, the resulting estimates of fiscal premia are for corrections costs rather than just prison costs. This interpretation imposes the implicit assumption that the probabilities of being on probation are roughly proportional to the probabilities of being incarcerated.

  25. Moreover, prisoners (and the homeless) are not included in the CPS. CPS sample selection is not entirely independent of college attainment. Thus, the average high school graduate pays disproportionately less tax revenues than shown earlier. As a result, the preceding estimates of fiscal premia in tax revenues are understated to the extent that the CPS sample is not completely random with respect to college education.

  26. Separate estimates for federal and state corrections cost per inmate are derived using different federal and state incarceration proportions. Adult population proportions in state and local prisons and jails are 1.122, 0.289, and 0.098% for high school diploma, college below a bachelor’s degree, and bachelor’s degree or higher, respectively.

  27. Among the uninsured age 27 and older, 52% of those with only a high school education report their health to be very good or excellent, compared to 65% for those with a bachelor’s degree as their highest qualification.

  28. The NIPA data for calendar years 2002–2005 indicate that the federal share is about 19%.

  29. One could reasonably argue that expenditures financed from publicly owned endowments are public contributions. One could also argue that some of these endowments are established through private donations.

  30. Specifically, the fiscal weights are 19.7% for associate’s degrees, 65.3% for bachelor’s degrees. 10.2% for master’s degrees, and 4.7% for professional and doctorate degrees.

  31. To be consistent with this study’s measure of cost per degree, Table 6 shows the present values of the fiscal premia for the graduate degrees relative to the assumed beginning of graduate school (i.e., the present values at age 23).

  32. This number is the sum of the estimated net migration rates from Trostel (2007) times their respective weights.

  33. See, for example, Haveman and Wolfe (1995).

  34. The results in Table 7 and Fig. 4 are derived assuming half-time work and half-time college attendance beginning at age 19. Thus, an associate’s degree is assumed to take 4 years, a bachelor’s degree takes 8 years (i.e., graduation at age 27), and so on. During college these students are assumed to pay half as much taxes, receive half as much unemployment insurance on average, etc. as full-time workers.

  35. The average state fiscal rate of return varies across states. Among the six New England states, for example, the average fiscal rate of return ranges from 3.0 to 4.7%.

References

  • Autor, D. H., Katz, L. F., & Kearney, M. S. (2005). Trends in U.S. wage inequality: Re-assessing the revisionists. National Bureau of Economic Research Working Paper No. 11627.

  • Barrow, L., & Rouse, C. (2005). Does college still pay? Economists’ Voice, 2(4), 3.

    Google Scholar 

  • Baum, S., & Payea, K. (2004). Education pays: The benefits of higher education for individuals and society. Washington, DC: College Board.

    Google Scholar 

  • Belfield, C. R., Nores, M., Barnett, S., & Schweinhart, L. (2006). The High/Scope Perry Preschool Program: Cost-benefit analysis using data from the age-40 followup. Journal of Human Resources, 41(1), 162–190.

    Google Scholar 

  • Bound, J., & Turner, S. (2007). Cohort crowding: How resources affect collegiate attainment. Journal of Public Economics, 91, 877–899.

    Article  Google Scholar 

  • Brady, H., Hout, M., & Stiles, J. (2005). Return on investment: Educational choices and demographic change in California’s future. Berkeley, CA: Survey Research Center.

    Google Scholar 

  • Card, D. (1999). The causal effect of education on earnings. In O. Ashenfelter & D. Card (Eds.), Handbook of labor economics (Vol. 3A). Amsterdam: Elsevier.

    Google Scholar 

  • Card, D., & Lemieux, T. (2001). Can falling supply explain the rising return to college for younger men? A cohort-based analysis. Quarterly Journal of Economics, 116(2), 705–746.

    Article  Google Scholar 

  • Chevalier, A., & Feinstein, L. (2006). Sheepskin or Prozac: The causal effect of education on mental health. Center for the Economics of Education working paper.

  • Currie, J. (2001). Early childhood education programs. Journal of Economic Perspectives, 15(2), 213–238.

    Article  Google Scholar 

  • Cutler, D. M., & Lleras-Muney, A. (2006). Education and health: Evaluating theories and evidence. National Bureau of Economic Research Working Paper No. 12352.

  • Fernandez, R., & Rogerson, R. (1995). On the political economy of education subsidies. Review of Economics Studies, 62(2), 249–262.

    Article  Google Scholar 

  • Fortin, N. M. (2006). Higher-education policies and the college wage premium: Cross-state evidence from the 1990s. American Economic Review, 96(4), 959–987.

    Article  Google Scholar 

  • Freeman, R. (1976). The overeducated American. New York: Academic Press.

    Google Scholar 

  • Goldhaber, D., & Player, D. (2003). Analytical framework for assessing the potential return on a federal investment in the Alliance for Excellent Education’s Every child a graduate. Washington, DC: Alliance for Excellent Education.

    Google Scholar 

  • Hadley, J., & Holahan, J. (2003). How much medical care do the uninsured use, and who pays for it? Health Affairs—Web Exclusive, 22(2), 66–81.

    Google Scholar 

  • Hansen, W. L., & Weisbrod, B. A. (1969). Benefits, costs and finance of public higher education. Chicago, IL: Markham.

    Google Scholar 

  • Harlow, C. W. (2003). Education and corrections populations. Washington, DC: Bureau of Justice Statistics.

    Google Scholar 

  • Harmon, C., Oosterbeek, H., & Walker, I. (2003). The returns to education: Microeconomics. Journal of Economic Surveys, 17(2), 115–156.

    Article  Google Scholar 

  • Harrison, P. M., & Beck, A. J. (2006). Prisoners in 2005. Washington, DC: Bureau of justice statistics.

    Google Scholar 

  • Haveman, R. H., & Wolfe, B. L. (1984). Schooling and economic well-being: The role of nonmarket effects. Journal of Human Resources, 19(3), 377–407.

    Article  Google Scholar 

  • Haveman, R., & Wolfe, B. (1995). The determinants of children’s attainments: A review of methods and findings. Journal of Economic Literature, 33(4), 1829–1878.

    Google Scholar 

  • Heckman, J. J., & Masterov, D. V. (2004). The productivity argument for investing in young children. Invest in Kids Working Group Working Paper No. 5.

  • Hovey, H. A. (1999). State spending for higher education in the next decade: The battle to sustain current support. Washington, DC: National Center for Public Policy and Higher Education.

    Google Scholar 

  • Institute for Higher Education Policy. (2005). The investment payoff: A 50-state analysis of the private and public benefits of higher education. Washington, DC: Institute for Higher Education Policy.

    Google Scholar 

  • Juhn, C., Kim, D. I., & Vella, F. (2005). The expansion of college education in the United States: Is there evidence of declining cohort quality? Economic Inquiry, 43(2), 303–315.

    Article  Google Scholar 

  • Kaiser Commission on Medicaid and the Uninsured. (2004). Medicaid facts. Washington, DC: Kaiser Commission on Medicaid and the Uninsured.

    Google Scholar 

  • Kane, T. J., Orszag, P. R., & Apostolov, E. (2005). Higher education appropriations and public universities: Role of medicaid and the business cycle. In G. Burtless & J. Rothenberg Pack (Eds.), Brookings-Wharton papers on urban affairs 2005. Washington, DC: Brookings Institution.

    Google Scholar 

  • Katz, L. F., & Autor, D. H. (1999). Changes in the wage structure and earnings inequality. In O. Ashenfelter & D. Card (Eds.), Handbook of labor economics (Vol. 3A). Amsterdam: Elsevier Science.

    Google Scholar 

  • Krop, R. A. (1998). The social returns to increased investment in education: Measuring the effect of education on the cost of social programs. Santa Monica, CA: Rand.

    Google Scholar 

  • Levin, H., Belfield, C., Muennig, P., & Rouse, C. (2007). The costs and benefits of an excellent education for all of America’s children. New York, NY: Center for Benefit-Cost Studies of Education.

    Google Scholar 

  • Lleras-Muney, A. (2005). The relationship between education and adult mortality in the United States. Review of Economic Studies, 72(1), 189–211.

    Article  Google Scholar 

  • Lochner, L., & Moretti, E. (2004) The effect of education on crime: Evidence from prison inmates, arrests, and self-reports. American Economic Review, 94(1), 155–189.

    Article  Google Scholar 

  • Longanecker, D. (2006). A tale of two pities. Change, 38(1), 14.

    Google Scholar 

  • Lynch, R. G. (2004). Exceptional returns: Economic, fiscal, and social benefits of investment in early childhood development. Washington, DC: Economic Policy Institute.

    Google Scholar 

  • McIntyre, R. S., Denk, R., Francis, N., Gardner, M., Gomaa, W., Hsu, F., et al. (2003). Who pays? A distributional analysis of the tax systems in all 50 states (2nd ed.). Washington, DC: Institute on Taxation and Economic Policy.

    Google Scholar 

  • McMahon, W. (2004). The social and external benefits of education. In G. Johnes & J. Johnes (Eds.), International handbook on the economics of education. Cheltenham: Edward Elgar.

    Google Scholar 

  • Mortenson, T. (1994). Federal income taxes paid by college educated workers 1970 to 1991. Postsecondary Education Opportunity, 28, 1–9.

    Google Scholar 

  • Mortenson, T. (2001). Individual economic welfare in the human capital economy 1973 to 2000. Postsecondary Education Opportunity, 114, 1–16.

    Google Scholar 

  • Murphy, K. M., & Welch, F. (1990). Empirical age-earnings profiles. Journal of Labor Economics, 8(2), 202–229.

    Article  Google Scholar 

  • O’Hara, A. (2004). New methods for simulating CPS taxes. U.S. Census Bureau Technical Paper.

  • Rizzo, M. (2004). The public interest in higher education. In Federal reserve bank of Cleveland, education and economic development. Cleveland, OH: Federal Reserve Bank of Cleveland.

  • Strathman, J. G. (1994). Migration, benefit spillovers and state support of higher education. Urban Studies, 31(6), 913–920.

    Article  Google Scholar 

  • Topel, R. (2004). The private and social values of education. In Federal reserve bank of Cleveland, education and economic development. Cleveland, OH: Federal Reserve Bank of Cleveland.

  • Trostel, P. A. (1996). Should educaiton be subsidized? Public Finance Review, 24(1), 3–24.

    Article  Google Scholar 

  • Trostel, P. A. (2003). The long-term economic effects of declining state support for higher education: Are states shooting themselves in the foot? Wisconsin Center for the Advancement of Postsecondary Education.

  • Trostel, P. A. (2007). The impact of new college graduates on intrastate labor markets. Wisconsin Center for the Advancement of Secondary Education Working Paper No. 11.

  • Trostel, P. A., & Ronca, J. M. (2009). A simple unifying measure of state support for postsecondary education. Research in Higher Education, 50(3), 215–247.

    Article  Google Scholar 

  • Vernez, G., Krop, R. A., & Rydell, C. P. (1999). Closing the education gap: Benefits and costs. Santa Monica, CA: Rand.

    Google Scholar 

  • Wolfe, B. L., & Haveman, R. H. (2003). Social and nonmarket benefits from education in an advanced economy. In Y. Kodrzycki (Ed.), Education in the 21st century: Meeting the challenges of a changing world, 2003.

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Acknowledgments

I am grateful for the feedback and support from New England Public Policy Center at the Federal Reserve Bank of Boston. For constructive comments I am also grateful to Sara Goldrick-Rab, Lee Hansen, Nik Hawkins, Eric Olds, Darcy Saas, Alicia Sasser, Robert Tannenwald, and the anonymous referees.

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Correspondence to Philip A. Trostel.

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This paper was written while serving as a visiting scholar at the New England Public Policy Center at the Federal Reserve Bank of Boston.

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Trostel, P.A. The Fiscal Impacts of College Attainment. Res High Educ 51, 220–247 (2010). https://doi.org/10.1007/s11162-009-9156-5

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Keywords

  • College education
  • Fiscal
  • Public finance
  • Tax revenues
  • Expenditures
  • Government investment
  • Rate of return