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

Elena Gorbunova (), Vladimir Ulyanov () and Kirill Furmanov
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Elena Gorbunova: National Research University Higher School of Economics, Moscow, Russian Federation;
Vladimir Ulyanov: National Research University Higher School of Economics, Moscow, Russian Federation;

Applied Econometrics, 2017, vol. 45, 116-135

Abstract: 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.

Keywords: event-history analysis; discrete hazard; student attrition (search for similar items in EconPapers)
JEL-codes: C41 I29 (search for similar items in EconPapers)
Date: 2017
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