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Does Accessibility to Higher Education matter? Choice Behavior of High School Graduates in the Netherlands

Author

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  • Carla Sá

    (Department of Economics, University of Minho, Portugal)

  • Raymond J.G.M. Florax

    (Department of Spatial Economics, Vrije Universiteit Amsterdam, and Department of Agricultural Economics, Purdue University)

  • Piet Rietveld

    (Department of Spatial Economics, Vrije Universiteit Amsterdam)

Abstract

This paper identifies pivotal factors behind individual decision-making in the transition from high school to post-secondary education in the Netherlands. We apply a multinomial logit framework to individual data on post-secondary education choices. Specifically, our modeling approach accommodates two types of effects that have not received ample attention in the literature. First, we include information regarding the geographical accessibility of the higher education system. Second, we allow the individual observations to be correlated within schools in order to account for localized social interactions. Our results confirm the paramount influence of the student’s track record and talent. The results, however, also show that geographical proximity to universities or professional colleges significantly increases the probability of high school leavers continuing their education at the post-secondary level.

Suggested Citation

  • Carla Sá & Raymond J.G.M. Florax & Piet Rietveld, 2004. "Does Accessibility to Higher Education matter? Choice Behavior of High School Graduates in the Netherlands," Tinbergen Institute Discussion Papers 04-061/3, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20040061
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    References listed on IDEAS

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    Cited by:

    1. Maria Ines Barbosa Camargo & Antonio García Sánchez & Mª Luisa Ridao Carlini, 2016. "Influencia de las ayudas financieras en el acceso a estudios universitarios: El caso de Colombia," Investigaciones de Economía de la Educación volume 11, in: José Manuel Cordero Ferrera & Rosa Simancas Rodríguez (ed.), Investigaciones de Economía de la Educación 11, edition 1, volume 11, chapter 4, pages 91-110, Asociación de Economía de la Educación.
    2. Peter M. White & David M. Lee, 2020. "Geographic Inequalities and Access to Higher Education: Is the Proximity to Higher Education Institution Associated with the Probability of Attendance in England?," Research in Higher Education, Springer;Association for Institutional Research, vol. 61(7), pages 825-848, November.
    3. Carla Sá & Raymond Florax & Piet Rietveld, 2007. "Living-arrangement and university decisions of Dutch young adults," NIPE Working Papers 14/2007, NIPE - Universidade do Minho.
    4. Falch, Torberg & Lujala, Päivi & Strøm, Bjarne, 2013. "Geographical constraints and educational attainment," Regional Science and Urban Economics, Elsevier, vol. 43(1), pages 164-176.
    5. John V. Winters, 2018. "Do higher college graduation rates increase local education levels?," Papers in Regional Science, Wiley Blackwell, vol. 97(3), pages 617-638, August.
    6. Polina Bugakova & Ilya Prakhov, 2020. "Regional Accessibility Of Higher Education In Russia," HSE Working papers WP BRP 58/EDU/2020, National Research University Higher School of Economics.
    7. Gibbons, Stephen & Vignoles, Anna, 2009. "Access, choice and participation in higher education," LSE Research Online Documents on Economics 23656, London School of Economics and Political Science, LSE Library.
    8. Patrizia Ordine & Claudio Lupi, 2009. "Family Income and Students' Mobility," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 68(1), pages 1-23, April.
    9. B. Cesi & D. Paolini, 2011. "University choice, peer group and distance," Working Paper CRENoS 201101, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    10. Michal Franta & Martin Guzi, 2008. "Unequal Access to Higher Education in the Czech Republic: The Role of Spatial Distribution of Universities," CERGE-EI Working Papers wp350, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    11. D. Flannery & J. Cullinan, 2014. "Where they go, what they do and why it matters: the importance of geographic accessibility and social class for decisions relating to higher education institution type, degree level and field of study," Applied Economics, Taylor & Francis Journals, vol. 46(24), pages 2952-2965, August.
    12. Nicola Francesco Dotti & Ugo Fratesi & Camilla Lenzi & Marco Percoco, 2014. "Local labour market conditions and the spatial mobility of science and technology university students: evidence from Italy," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 34(2), pages 119-137, October.
    13. Małgorzata Kłobuszewska & Magdalena Rokicka, 2016. "Do local characteristics matter? Secondary school track choice in Poland," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 45.
    14. Mattia Cattaneo & Paolo Malighetti & Michele Meoli & Stefano Paleari, 2017. "University spatial competition for students: the Italian case," Regional Studies, Taylor & Francis Journals, vol. 51(5), pages 750-764, May.
    15. Katarina Weßling & Nora Bechler, 2019. "Where do regional influences matter? The impact of socio-spatial indicators on transitions from secondary school to university [Wo hat Region einen Einfluss? Effekte sozialräumlicher Indikatoren au," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 39(2), pages 163-188, October.
    16. Kobus, Martijn B.W. & Van Ommeren, Jos N. & Rietveld, Piet, 2015. "Student commute time, university presence and academic achievement," Regional Science and Urban Economics, Elsevier, vol. 52(C), pages 129-140.
    17. John Cullinan & Darragh Flannery & Sharon Walsh & Selina Mccoy, 2013. "Distance Effects, Social Class and the Decision to Participate in Higher Education in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 44(1), pages 19-51.
    18. Diogo Lourenço & Carla Sá, 2019. "Spatial competition for students: What does (not) matter?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 63(1), pages 147-162, August.
    19. Arthur Grimes & Shaan Badenhorst & David C. Maré & Jacques Poot, 2020. "Hometown wh?nau or big city millennials? The economic geography of graduate destination choices in New Zealand," Working Papers 20_04, Motu Economic and Public Policy Research.
    20. Carlos Vieira & Isabel Vieira & Luis Raposo, 2018. "Distance and academic performance in higher education," Spatial Economic Analysis, Taylor & Francis Journals, vol. 13(1), pages 60-79, January.
    21. Dante Contreras & Daniel Hojman & Manuel Matas & Patricio Rodríguez & Nicolás Suárez, 2018. "The impact of commuting time over educational achievement: A machine learning approach," Working Papers wp472, University of Chile, Department of Economics.
    22. Berardino Cesi & Dimitri Paolini, 2014. "Peer Group and Distance: When Widening University Participation is Better," Manchester School, University of Manchester, vol. 82, pages 110-132, December.
    23. Sørensen, Elise Stenholt & Høst, Anders Kamp, 2015. "Does distance determine who is in higher education?," MPRA Paper 74517, University Library of Munich, Germany.
    24. Maria Ines Barbosa Camargo, 2015. "Efectos de los mecanismos de financiación en el acceso a la educación superior en Colombia," Investigaciones de Economía de la Educación volume 10, in: Marta Rahona López & Jennifer Graves (ed.), Investigaciones de Economía de la Educación 10, edition 1, volume 10, chapter 5, pages 115-134, Asociación de Economía de la Educación.
    25. Stefano STAFFOLANI & Claudia PIGINI, 2012. "Enrolment Decision and University Choice;of Italian Secondary School Graduates," Working Papers 380, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

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    More about this item

    Keywords

    high school graduates; higher education; social interaction; geographical accessibility;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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