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Using Panel Data to Identify the Effects of Institutional Characteristics, Cohort Characteristics, and Institutional Actions on Graduation Rates

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  • Gary R. Pike

    (Indiana University School of Education)

  • Kirsten R. Robbins

    (Ball State University)

Abstract

Institutional graduation rates occupy a prominent place in institutional research and public policy. Graduation rates are used in the College Scorecard, state performance funding initiatives, and potentially affect a significant proportion of public institutions revenues. Despite their widespread use, research suggests that institutional graduation rates are most strongly related to students’ entering characteristics and stable institutional characteristics, but are only weakly related to characteristics institutions can directly control. One set of institutional characteristics that appears to be related to graduation rates are expenditures for instruction, academic support, student services, and institutional support. However, inconsistencies in research findings raise the possibility that estimates of the effects of expenditures on graduation rates may be biased due to omitted variables (i.e., unobserved heterogeneity). The present research uses within-/between-effects panel data models with IPEDS panel data to account for omitted variable bias and examine the effects of institutional characteristics, cohort characteristics, and institutional expenditures on graduation rates.

Suggested Citation

  • Gary R. Pike & Kirsten R. Robbins, 2020. "Using Panel Data to Identify the Effects of Institutional Characteristics, Cohort Characteristics, and Institutional Actions on Graduation Rates," Research in Higher Education, Springer;Association for Institutional Research, vol. 61(4), pages 485-509, June.
    • Handle: RePEc:spr:reihed:v:61:y:2020:i:4:d:10.1007_s11162-019-09567-7
    DOI: 10.1007/s11162-019-09567-7
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    References listed on IDEAS

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    1. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    2. Reinhard Schunck, 2013. "Within and between estimates in random-effects models: Advantages and drawbacks of correlated random effects and hybrid models," Stata Journal, StataCorp LP, vol. 13(1), pages 65-76, March.
    3. Bell, Andrew & Jones, Kelvyn, 2015. "Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data," Political Science Research and Methods, Cambridge University Press, vol. 3(1), pages 133-153, January.
    4. 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.
    5. Nicholas W. Hillman & David A. Tandberg & Jacob P. K. Gross, 2014. "Performance Funding in Higher Education: Do Financial Incentives Impact College Completions?," The Journal of Higher Education, Taylor & Francis Journals, vol. 85(6), pages 826-857, November.
    6. Denisa Gándara & Amanda Rutherford, 2018. "Mitigating Unintended Impacts? The Effects of Premiums for Underserved Populations in Performance-Funding Policies for Higher Education," Research in Higher Education, Springer;Association for Institutional Research, vol. 59(6), pages 681-703, September.
    7. Terry T. Ishitani, 2006. "Studying Attrition and Degree Completion Behavior among First-Generation College Students in the United States," The Journal of Higher Education, Taylor & Francis Journals, vol. 77(5), pages 861-885, September.
    8. Reinhard Schunck & Francisco Perales, 2017. "Within- and between-cluster effects in generalized linear mixed models: A discussion of approaches and the xthybrid command," Stata Journal, StataCorp LP, vol. 17(1), pages 89-115, March.
    9. McCubbins, Mathew D & Noll, Roger G & Weingast, Barry R, 1987. "Administrative Procedures as Instruments of Political Control," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 3(2), pages 243-277, Fall.
    10. Joseph L Dieleman & Tara Templin, 2014. "Random-Effects, Fixed-Effects and the within-between Specification for Clustered Data in Observational Health Studies: A Simulation Study," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-17, October.
    11. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
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    Cited by:

    1. Ching-Hui Lin & Jyun-Hong Chen & Eric S. Lin & C. Owen Lo, 2022. "The Effects of College Student Experience on Degree Aspirations for Graduate Education," SAGE Open, , vol. 12(3), pages 21582440221, August.
    2. Nick Huntington-Klein & Andrew Gill, 2021. "Semester Course Load and Student Performance," Research in Higher Education, Springer;Association for Institutional Research, vol. 62(5), pages 623-650, August.

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