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Expenditures and postsecondary graduation: An investigation using individual-level data from the state of Ohio

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  • Webber, Douglas A.

Abstract

Using detailed individual-level data from public universities in the state of Ohio, I estimate the effect of various institutional expenditures on the probability of graduating from college. Using a competing risks regression framework, I find differential impacts of expenditure categories across student characteristics. I estimate that student service expenditures have a larger impact on students with low SAT/ACT scores, while instructional expenditures are more important for high test score students and those majoring in scientific/quantitative fields. The individual-level nature of these data allows me to address measurement error and endogeneity concerns the previous literature has been unable to deal with.

Suggested Citation

  • Webber, Douglas A., 2012. "Expenditures and postsecondary graduation: An investigation using individual-level data from the state of Ohio," Economics of Education Review, Elsevier, vol. 31(5), pages 615-618.
  • Handle: RePEc:eee:ecoedu:v:31:y:2012:i:5:p:615-618
    DOI: 10.1016/j.econedurev.2012.02.003
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    References listed on IDEAS

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    1. Webber, Douglas A. & Ehrenberg, Ronald G., 2010. "Do expenditures other than instructional expenditures affect graduation and persistence rates in American higher education?," Economics of Education Review, Elsevier, vol. 29(6), pages 947-958, December.
    2. Price, Joshua, 2010. "The effect of instructor race and gender on student persistence in STEM fields," Economics of Education Review, Elsevier, vol. 29(6), pages 901-910, December.
    3. Eric A. Hanushek, 1979. "Conceptual and Empirical Issues in the Estimation of Educational Production Functions," Journal of Human Resources, University of Wisconsin Press, vol. 14(3), pages 351-388.
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    Cited by:

    1. Ozan Jaquette & Edna Parra, 2016. "The Problem with the Delta Cost Project Database," Research in Higher Education, Springer;Association for Institutional Research, vol. 57(5), pages 630-651, August.
    2. Amanda L. Griffith & Kevin N. Rask, 2016. "The Effect Of Institutional Expenditures On Employment Outcomes And Earnings," Economic Inquiry, Western Economic Association International, vol. 54(4), pages 1931-1945, October.
    3. David Sjoquist & John Winters, 2015. "The effect of Georgia’s HOPE scholarship on college major: a focus on STEM," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-29, December.
    4. Daniele Bondonio & Fabio Berton, 2018. "The Impact of Degree Duration on Higher Education Participation: Evidence from a Large‐scale Natural Experiment," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(5), pages 905-930, October.
    5. Webber, Douglas A., 2018. "Risk-Sharing in Higher Education: A Policy Proposal," IZA Policy Papers 141, Institute of Labor Economics (IZA).

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    More about this item

    Keywords

    Educational finance; Higher education; Education production function;
    All these keywords.

    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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