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Elite School Designation and House Prices - Quasi-experimental Evidence from Beijing, China

Author

Listed:
  • Huang, Bin
  • He, Xiaoyan
  • Xu, Lei
  • Zhu, Yu

Abstract

We explore three recent comprehensive reforms which aim to equalize access to elite elementary schools in Beijing, to identify the causal effect of access to quality education on house prices. Using property transaction records from Beijing in 2013 and 2016, we construct a balanced panel of residential complexes, each of which linked to its designated primary school. Whereas the multi-school dicing reform involves randomly assigning previously ineligible pupils to key elementary schools through lotteries, the reform of school federation led by elite schools consolidates ordinary primary schools through alliance with elite schools. Moreover, an ordinary primary school can be promoted to key elementary school without involving neighbouring schools in surrounding residential complexes through a “pure” re-designation effect. We allow for systemic differences between the treated and non-treated residential complexes using the Matching Difference-in-Differences (MDID) approach. Our estimates indicate that the causal effect on house prices of being eligible to enrol in a municipal-level key primary school is about 5-7%, while the premium for being eligible for a less prestigious district-level key primary school is only about 1-3%.

Suggested Citation

  • Huang, Bin & He, Xiaoyan & Xu, Lei & Zhu, Yu, 2018. "Elite School Designation and House Prices - Quasi-experimental Evidence from Beijing, China," GLO Discussion Paper Series 283, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:283
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    References listed on IDEAS

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    1. Sandra E. Black, 1999. "Do Better Schools Matter? Parental Valuation of Elementary Education," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 577-599.
    2. Hanming Fang & Quanlin Gu & Wei Xiong & Li-An Zhou, 2016. "Demystifying the Chinese Housing Boom," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 105-166.
    3. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    4. SATO, Hiroshi, 2006. "Housing inequality and housing poverty in urban China in the late 1990s," China Economic Review, Elsevier, vol. 17(1), pages 37-50.
    5. Oates, Wallace E, 1969. "The Effects of Property Taxes and Local Public Spending on Property Values: An Empirical Study of Tax Capitalization and the Tiebout Hypothesis," Journal of Political Economy, University of Chicago Press, vol. 77(6), pages 957-971, Nov./Dec..
    6. Fack, Gabrielle & Grenet, Julien, 2010. "When do better schools raise housing prices? Evidence from Paris public and private schools," Journal of Public Economics, Elsevier, vol. 94(1-2), pages 59-77, February.
    7. Charles M. Tiebout, 1956. "A Pure Theory of Local Expenditures," Journal of Political Economy, University of Chicago Press, vol. 64, pages 416-416.
    8. Gibbons, Stephen & Machin, Stephen & Silva, Olmo, 2013. "Valuing school quality using boundary discontinuities," Journal of Urban Economics, Elsevier, vol. 75(C), pages 15-28.
    9. Nguyen-Hoang, Phuong & Yinger, John, 2011. "The capitalization of school quality into house values: A review," Journal of Housing Economics, Elsevier, vol. 20(1), pages 30-48, March.
    10. Gibbons, Stephen & Machin, Stephen & Silva, Olmo, 2013. "Valuing school quality using boundary discontinuity," LSE Research Online Documents on Economics 45246, London School of Economics and Political Science, LSE Library.
    11. Feng, Hao & Lu, Ming, 2013. "School quality and housing prices: Empirical evidence from a natural experiment in Shanghai, China," Journal of Housing Economics, Elsevier, vol. 22(4), pages 291-307.
    12. Zhang, Lei & Yi, Yimin, 2017. "Quantile house price indices in Beijing," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 85-96.
    13. Black, Sandra E. & Machin, Stephen, 2011. "Housing Valuations of School Performance," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 10, pages 485-519, Elsevier.
    14. Stephen Gibbons & Stephen Machin, 2008. "Valuing school quality, better transport, and lower crime: evidence from house prices," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 24(1), pages 99-119, spring.
    15. Ross, Stephen & Yinger, John, 1999. "Sorting and voting: A review of the literature on urban public finance," Handbook of Regional and Urban Economics, in: P. C. Cheshire & E. S. Mills (ed.), Handbook of Regional and Urban Economics, edition 1, volume 3, chapter 47, pages 2001-2060, Elsevier.
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    More about this item

    Keywords

    quality school designation; house price premium; Matching DID; China;
    All these keywords.

    JEL classification:

    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • H44 - Public Economics - - Publicly Provided Goods - - - Publicly Provided Goods: Mixed Markets

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