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Do Expenditures Other Than Instructional Expenditures Affect Graduation and Persistence Rates in American Higher Education

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  • Douglas A. Webber
  • Ronald G. Ehrenberg

Abstract

During the last two decades, median instructional spending per full-time equivalent (FTE) student at American 4-year colleges and universities has grown at a slower rate than median spending per FTE student in a number of other expenditure categories including academic support, student services and research. Our paper uses institutional level panel data and a variety of econometric approaches, including unconditional quantile regression methods, to analyze whether these non instructional expenditure categories influence graduation and first-year persistence rates of undergraduate students. Our most important finding is that student service expenditures influence graduation and persistence rates and their marginal effects are higher for students at institutions with lower entrance test scores and higher Pell Grant expenditures per student. Put another way, their effects are largest at institutions that have lower current graduation and first year persistence rates. Simulations suggest that reallocating some funding from instruction to student services may enhance persistence and graduation rates at those institutions whose rates are currently below the medians in the sample.

Suggested Citation

  • Douglas A. Webber & Ronald G. Ehrenberg, 2009. "Do Expenditures Other Than Instructional Expenditures Affect Graduation and Persistence Rates in American Higher Education," NBER Working Papers 15216, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:15216
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    1. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    2. Dolan, Robert C. & Schmidt, Robert M., 1994. "Modeling institutional production of higher education," Economics of Education Review, Elsevier, vol. 13(3), pages 197-213, September.
    3. Pfeifer, Christian & Cornelißen, Thomas, 2010. "The impact of participation in sports on educational attainment--New evidence from Germany," Economics of Education Review, Elsevier, vol. 29(1), pages 94-103, February.
    4. Roland G. Fryer & Michael Greenstone, 2007. "The Causes and Consequences of Attending Historically Black Colleges and Universities," NBER Working Papers 13036, National Bureau of Economic Research, Inc.
    5. de Groot, Hans & McMahon, Walter W & Volkwein, J Fredericks, 1991. "The Cost Structure of American Research Universities," The Review of Economics and Statistics, MIT Press, vol. 73(3), pages 424-431, August.
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    More about this item

    JEL classification:

    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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