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Natural disasters and university enrolment: evidence from L’Aquila earthquake

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  • Augusto Cerqua
  • Giorgio Di Pietro
Abstract
Although there are several studies looking at the effect of natural disasters on economic growth, less attention has been dedicated to their impact on educational outcomes, especially in more developed countries. We use the synthetic control method to examine how the L’Aquila earthquake affected subsequent enrolment at the local university. This issue has wide economic implications as the University of L’Aquila made a large contribution to the local economy before the earthquake. Our results indicate that the earthquake had no statistically significant effect on first-year enrolment at the University of L’Aquila in the three academic years after the disaster. This natural disaster, however, caused a compositional change in the first-year student population, with a substantial increase in the number of students aged 21 or above. This is likely to have been driven by post-disaster measures adopted in order to mitigate the expected negative effects on enrolment triggered by the earthquake.

Suggested Citation

  • Augusto Cerqua & Giorgio Di Pietro, 2017. "Natural disasters and university enrolment: evidence from L’Aquila earthquake," Applied Economics, Taylor & Francis Journals, vol. 49(14), pages 1440-1457, March.
  • Handle: RePEc:taf:applec:v:49:y:2017:i:14:p:1440-1457
    DOI: 10.1080/00036846.2016.1218431
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    References listed on IDEAS

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    Cited by:

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    3. Marina Murat & Luca Bonacini, 2020. "Coronavirus pandemic, remote learning and education inequalities," Department of Economics (DEMB) 0177, University of Modena and Reggio Emilia, Department of Economics "Marco Biagi".

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    More about this item

    JEL classification:

    • A20 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - General
    • H84 - Public Economics - - Miscellaneous Issues - - - Disaster Aid
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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