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Tuition Fees and University Enrolment: A Meta‐Regression Analysis

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  • Tomas Havranek
  • Zuzana Irsova
  • Olesia Zeynalova

Abstract

One of the most frequently examined relationships in education economics is the correlation between tuition fee increases and the demand for higher education. We provide a quantitative synthesis of 443 estimates of this effect reported in 43 studies. While large negative estimates dominate the literature, we show that researchers report positive and insignificant estimates less often than they should. After correcting for this publication bias, we find that the literature is consistent with the mean tuition–enrolment elasticity being close to zero. Nevertheless, we identify substantial heterogeneity among the reported effects: for example, male students and students at private universities display larger elasticities. The results are robust to controlling for model uncertainty, using both Bayesian and frequentist methods of model averaging.

Suggested Citation

  • Tomas Havranek & Zuzana Irsova & Olesia Zeynalova, 2018. "Tuition Fees and University Enrolment: A Meta‐Regression Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(6), pages 1145-1184, December.
    • Handle: RePEc:bla:obuest:v:80:y:2018:i:6:p:1145-1184
    DOI: 10.1111/obes.12240
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    Cited by:

    1. Kudela, Peter & Havranek, Tomas & Herman, Dominik & Irsova, Zuzana, 2020. "Does daylight saving time save electricity? Evidence from Slovakia," Energy Policy, Elsevier, vol. 137(C).
    2. Zigraiova, Diana & Havranek, Tomas & Irsova, Zuzana & Novak, Jiri, 2021. "How puzzling is the forward premium puzzle? A meta-analysis," European Economic Review, Elsevier, vol. 134(C).
    3. Cazachevici, Alina & Havranek, Tomas & Horvath, Roman, 2019. "Remittances and Economic Growth: A Quantitative Survey," EconStor Preprints 205812, ZBW - Leibniz Information Centre for Economics.
    4. Knaisch, Jonas & Pöschel, Carla, 2021. "Corporate Tax Incidence and Wages: A Meta-Regression Analysis," arqus Discussion Papers in Quantitative Tax Research 262, arqus - Arbeitskreis Quantitative Steuerlehre.
    5. Cazachevici, Alina & Havranek, Tomas & Horvath, Roman, 2020. "Remittances and economic growth: A meta-analysis," World Development, Elsevier, vol. 134(C).
    6. Sebastian Gechert & Tomas Havranek & Zuzana Irsova & Dominika Kolcunova, 2022. "Measuring Capital-Labor Substitution: The Importance of Method Choices and Publication Bias," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 55-82, July.
    7. Georgios Magkonis & Kalliopi‐Maria Zekente & Vasilios Logothetis, 2021. "Does the Left Spend More? An Econometric Survey of Partisan Politics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(4), pages 1077-1099, August.
    8. Zhuanlan Sun & Demi Zhu, 2023. "Investigating environmental regulation effects on technological innovation: A meta-regression analysis," Energy & Environment, , vol. 34(3), pages 463-492, May.
    9. Tomas Havranek & Anna Sokolova, 2020. "Do Consumers Really Follow a Rule of Thumb? Three Thousand Estimates from 144 Studies Say 'Probably Not'," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 35, pages 97-122, January.
    10. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
    11. Dominika Ehrenbergerova & Josef Bajzik & Tomas Havranek, 2023. "When Does Monetary Policy Sway House Prices? A Meta-Analysis," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(2), pages 538-573, June.
    12. Jindrich Matousek & Tomas Havranek & Zuzana Irsova, 2022. "Individual discount rates: a meta-analysis of experimental evidence," Experimental Economics, Springer;Economic Science Association, vol. 25(1), pages 318-358, February.
    13. Yin-Wong Cheung & Wenhao Wang, 2020. "A Jackknife Model Averaging Analysis of RMB Misalignment Estimates," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 1-45, June.
    14. Hieu Nguyen, 2019. "Free tuition and college enrollment: evidence from New York’s Excelsior program," Education Economics, Taylor & Francis Journals, vol. 27(6), pages 573-587, November.
    15. Kseniya Bortnikova, 2020. "Beauty and Productivity: A Meta-Analysis," Working Papers IES 2020/18, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jun 2020.
    16. Anton Astakhov & Tomas Havranek & Jiri Novak, 2019. "Firm Size And Stock Returns: A Quantitative Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 33(5), pages 1463-1492, December.
    17. Nguyen, Hieu, 2020. "Free college? Assessing enrollment responses to the Tennessee Promise program," Labour Economics, Elsevier, vol. 66(C).
    18. Tomáš Havránek & T. D. Stanley & Hristos Doucouliagos & Pedro Bom & Jerome Geyer‐Klingeberg & Ichiro Iwasaki & W. Robert Reed & Katja Rost & R. C. M. van Aert, 2020. "Reporting Guidelines For Meta‐Analysis In Economics," Journal of Economic Surveys, Wiley Blackwell, vol. 34(3), pages 469-475, July.
    19. Bajzik, Josef & Havranek, Tomas & Irsova, Zuzana & Schwarz, Jiri, 2020. "Estimating the Armington elasticity: The importance of study design and publication bias," Journal of International Economics, Elsevier, vol. 127(C).
    20. Xindong Xue & Mingmei Cheng & Wangyongxin Zhang, 2021. "Does Education Really Improve Health? A Meta‐Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 71-105, February.
    21. Mojmir Hampl & Tomas Havranek, 2020. "Central Bank Equity as an Instrument of Monetary Policy," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 62(1), pages 49-68, March.
    22. Thi Mai Lan Nguyen, 2020. "Output Effects of Monetary Policy in Emerging and Developing Countries: Evidence from a Meta-Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(1), pages 68-85, January.

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