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Using data from universities with different structure of academic year to model student attrition


  • Gorbunova, Elena

    () (National Research University Higher School of Economics, Moscow, Russian Federation;)

  • Ulyanov, Vladimir

    () (National Research University Higher School of Economics, Moscow, Russian Federation;)

  • Furmanov, Kirill

    () (National Research University Higher School of Economics, Moscow, Russian Federation;)


Pooling the data from a number of universities into a single sample poses a problem for researchers who are performing regression analysis of student attrition. Academic year can be divided into different academic terms in different universities, and this discrepancy has to be taken into account. This paper considers a problem of using data with different periodicity in the framework of discrete-time event history analysis and gives an example of an estimated attrition model.

Suggested Citation

  • Gorbunova, Elena & Ulyanov, Vladimir & Furmanov, Kirill, 2017. "Using data from universities with different structure of academic year to model student attrition," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 45, pages 116-135.
  • Handle: RePEc:ris:apltrx:0313

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    References listed on IDEAS

    1. Meyer, Bruce D, 1990. "Unemployment Insurance and Unemployment Spells," Econometrica, Econometric Society, vol. 58(4), pages 757-782, July.
    2. Jenkins, Stephen P, 1995. "Easy Estimation Methods for Discrete-Time Duration Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 57(1), pages 129-138, February.
    3. Carl Lamote & Jan Van Damme & Wim Van Den Noortgate & Sara Speybroeck & Tinneke Boonen & Jerissa Bilde, 2013. "Dropout in secondary education: an application of a multilevel discrete-time hazard model accounting for school changes," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(5), pages 2425-2446, August.
    4. DesJardins, S. L. & Ahlburg, D. A. & McCall, B. P., 1999. "An event history model of student departure," Economics of Education Review, Elsevier, vol. 18(3), pages 375-390, June.
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    More about this item


    event-history analysis; discrete hazard; student attrition;

    JEL classification:

    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • I29 - Health, Education, and Welfare - - Education - - - Other


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