IDEAS home Printed from https://ideas.repec.org/a/spr/reihed/v61y2020i4d10.1007_s11162-019-09567-7.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11162-019-09567-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11162-019-09567-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    11. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aleksey Oshchepkov & Anna Shirokanova, 2020. "Multilevel Modeling For Economists: Why, When And How," HSE Working papers WP BRP 233/EC/2020, National Research University Higher School of Economics.
    2. Damien Rousselière, 2019. "A Flexible Approach to Age Dependence in Organizational Mortality: Comparing the Life Duration for Cooperative and Non-Cooperative Enterprises Using a Bayesian Generalized Additive Discrete Time Survi," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(4), pages 829-855, December.
    3. Mela, Giulio & Longhitano, Davide & Povellato, Andrea, 2016. "Agricultural and non-agricultural determinants of Italian farmland values," 2016 Fifth AIEAA Congress, June 16-17, 2016, Bologna, Italy 242327, Italian Association of Agricultural and Applied Economics (AIEAA).
    4. Adewale Henry Adenuga & John Davis & George Hutchinson & Trevor Donnellan & Myles Patton, 2019. "Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 1273-1298, November.
    5. Jessica L. Darby & David J. Ketchen & Brent D. Williams & Travis Tokar, 2020. "The Implications of Firm‐Specific Policy Risk, Policy Uncertainty, and Industry Factors for Inventory: A Resource Dependence Perspective," Journal of Supply Chain Management, Institute for Supply Management, vol. 56(4), pages 3-24, October.
    6. Sebastian Kripfganz, 2017. "Sequential (two-stage) estimation of linear panel-data models," German Stata Users' Group Meetings 2017 03, Stata Users Group.
    7. Lööf, Hans & Sahamkhadam, Maziar & Stephan, Andreas, 2022. "Is Corporate Social Responsibility investing a free lunch? The relationship between ESG, tail risk, and upside potential of stocks before and during the COVID-19 crisis," Finance Research Letters, Elsevier, vol. 46(PB).
    8. Adenuga, Adewale Henry & Davis, John & Hutchinson, George & Donnellan, Trevor & Patton, Myles, 2018. "Estimation and determinants of phosphorus balance and use efficiency of dairy farms in Northern Ireland: A within and between farm random effects analysis," Agricultural Systems, Elsevier, vol. 164(C), pages 11-19.
    9. Martin Schröder, 2018. "Income Inequality and Life Satisfaction: Unrelated Between Countries, Associated Within Countries Over Time," Journal of Happiness Studies, Springer, vol. 19(4), pages 1021-1043, April.
    10. Daghagh Yazd, Sahar & Wheeler, Sarah Ann & Zuo, Alec, 2020. "Understanding the impacts of water scarcity and socio-economic demographics on farmer mental health in the Murray-Darling Basin," Ecological Economics, Elsevier, vol. 169(C).
    11. Radek Halamka & Petr Teplý, 2017. "The Effect of Ethics on Banks Financial Performance," Prague Economic Papers, Prague University of Economics and Business, vol. 2017(3), pages 330-344.
    12. Marco Giesselmann & Alexander Schmidt-Catran, 2018. "Interactions in Fixed Effects Regression Models," Discussion Papers of DIW Berlin 1748, DIW Berlin, German Institute for Economic Research.
    13. Josip Glaurdić & Vuk Vuković, 2017. "Granting votes: exposing the political bias of intergovernmental grants using the within-between specification for panel data," Public Choice, Springer, vol. 171(1), pages 223-241, April.
    14. Bassetti, Thomas & Dal Maso, Lorenzo & Lattanzi, Nicola, 2015. "Family businesses in Eastern European countries: How informal payments affect exports," Journal of Family Business Strategy, Elsevier, vol. 6(4), pages 219-233.
    15. Andrew Bell & Malcolm Fairbrother & Kelvyn Jones, 2019. "Fixed and random effects models: making an informed choice," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 1051-1074, March.
    16. Markku Maula & Wouter Stam, 2020. "Enhancing Rigor in Quantitative Entrepreneurship Research," Entrepreneurship Theory and Practice, , vol. 44(6), pages 1059-1090, November.
    17. Burrone, Sara & Giannelli, Gianna Claudia, 2019. "Does Child Labor Lead to Vulnerable Employment in Adulthood? Evidence for Tanzania," IZA Discussion Papers 12162, Institute of Labor Economics (IZA).
    18. Carpa, Nur & Martínez-Zarzoso, Inmaculada, 2022. "The impact of global value chain participation on income inequality," International Economics, Elsevier, vol. 169(C), pages 269-290.
    19. Christoph Fischer, 2019. "Equilibrium real exchange rate estimates across time and space," GRU Working Paper Series GRU_2019_008, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:reihed:v:61:y:2020:i:4:d:10.1007_s11162-019-09567-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.