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The Impact of Distance to Nearest Education Institution on the Post-Compulsory Education Participation Decision

Author

Listed:
  • Andy Dickerson

    (Department of Economics, The University of Sheffield)

  • Steven McIntosh

    (Department of Economics, The University of Sheffield)

Abstract

This paper uses data sources with the unique capacity to measure distances between home addresses and education institutions, to investigate, for the first time, the effect that such distance has on an individual's post-compulsory education participation decision. The results show that there is no overall net effect. However, when attention is focussed on young people who are on the margin of participating in post-compulsory education (according to their prior attainment and family background) and when post-compulsory education is distinguished by whether it leads to academic or vocational qualifications, then greater distance to nearest education institution is seen to have a significant impact on the decision to continue in full-time post-compulsory education. This finding has relevance for education participation in rural areas relative to urban areas.

Suggested Citation

  • Andy Dickerson & Steven McIntosh, 2010. "The Impact of Distance to Nearest Education Institution on the Post-Compulsory Education Participation Decision," Working Papers 2010007, The University of Sheffield, Department of Economics, revised Mar 2010.
  • Handle: RePEc:shf:wpaper:2010007
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    Cited by:

    1. Sönke Hendrik Matthewes & Guglielmo Ventura, 2022. "On Track to Success? Returns to vocational education against different alternatives," CVER Research Papers 038, Centre for Vocational Education Research.
    2. Uzma Ahmad & Steven McIntosh & Gurleen Popli, 2022. "Selection and performance in post‐compulsory education," Review of Development Economics, Wiley Blackwell, vol. 26(1), pages 3-31, February.
    3. Falch, Torberg & Lujala, Päivi & Strøm, Bjarne, 2013. "Geographical constraints and educational attainment," Regional Science and Urban Economics, Elsevier, vol. 43(1), pages 164-176.
    4. Leslie S. Stratton & Nabanita Datta Gupta & David Reimer & Anders Holm, 2017. "Modeling Enrollment in and Completion of Vocational Education: The Role of Cognitive and Non-cognitive Skills by Program Type," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20172, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    5. Dustan, Andrew & Ngo, Diana K.L., 2018. "Commuting to educational opportunity? School choice effects of mass transit expansion in Mexico City," Economics of Education Review, Elsevier, vol. 63(C), pages 116-133.
    6. Ana Paula Buhse & José Pedro Pontes, 2019. "Regional development of education as a "coordination game"," Working Papers REM 2019/75, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    7. Garrouste, Manon & Zaiem, Meryam, 2020. "School supply constraints in track choices: A French study using high school openings," Economics of Education Review, Elsevier, vol. 78(C).
    8. Sönke Hendrik Matthewes & Guglielmo Ventura, 2022. "On Track to Success? Returns to Vocational Education Against Different Alternatives," CEPA Discussion Papers 58, Center for Economic Policy Analysis.
    9. Moreno-Monroy, Ana I. & Lovelace, Robin & Ramos, Frederico R., 2018. "Public transport and school location impacts on educational inequalities: Insights from São Paulo," Journal of Transport Geography, Elsevier, vol. 67(C), pages 110-118.
    10. 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.
    11. K. Bruce Newbold & W. Mark Brown, 2015. "The Urban–Rural Gap In University Attendance: Determinants Of University Participation Among Canadian Youth," Journal of Regional Science, Wiley Blackwell, vol. 55(4), pages 585-608, September.
    12. Cattaneo, Andrea & Adukia, Anjali & Brown, David L. & Christiaensen, Luc & Evans, David K. & Haakenstad, Annie & McMenomy, Theresa & Partridge, Mark & Vaz, Sara & Weiss, Daniel J., 2022. "Economic and social development along the urban–rural continuum: New opportunities to inform policy," World Development, Elsevier, vol. 157(C).
    13. Hazans, Mihails & Holmen, Rasmus Bøgh & Upenieks, Jānis & Žabko, Oksana, 2024. "Regional inequalities in access to STEM-oriented secondary education in Latvia," MPRA Paper 120646, University Library of Munich, Germany.
    14. Elad DeMalach, 2023. "Geographic Barriers to Education in Disadvantaged Communities: Evidence from High School Openings in Israeli Arab Localities," Bank of Israel Working Papers 2023.02, Bank of Israel.
    15. Kenzo Asahi, 2014. "The Impact of Better School Accessibility on Student outcomes," SERC Discussion Papers 0156, Centre for Economic Performance, LSE.
    16. Clifford Afoakwah & Isaac Koomson, 2021. "How does school travel time impact children’s learning outcomes in a developing country?," Review of Economics of the Household, Springer, vol. 19(4), pages 1077-1097, December.
    17. 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.

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    More about this item

    Keywords

    post-compulsory education participation; travel distance;

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • I20 - Health, Education, and Welfare - - Education - - - General

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