IDEAS home Printed from https://ideas.repec.org/p/toh/dssraa/68.html
   My bibliography  Save this paper

The Effect of School Quality on Housing Rent: Evidence from Matsue city in Japan

Author

Listed:
  • Yuta Kuroda

Abstract

This study investigates the effect of public school quality on the housing rent within its school district by using Japanese data. I estimate the causal effect of school quality as measured by average test score on housing rent by using regression discontinuity design to control for unobserved characteristics of neighborhoods. Specifically, I focus on apartment buildings located on school attendance district boundaries. I find that school quality has significantly positive effect on housing rent of apartment for families, where school quality does not have significant effect on housing rent of houses for single person. This results show that parents are willing to pay more to send their child to better school.

Suggested Citation

  • Yuta Kuroda, 2017. "The Effect of School Quality on Housing Rent: Evidence from Matsue city in Japan," DSSR Discussion Papers 68, Graduate School of Economics and Management, Tohoku University.
    • Handle: RePEc:toh:dssraa:68
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10097/00120641
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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. Clapp, John M. & Nanda, Anupam & Ross, Stephen L., 2008. "Which school attributes matter? The influence of school district performance and demographic composition on property values," Journal of Urban Economics, Elsevier, vol. 63(2), pages 451-466, March.
    3. David N. Figlio & Maurice E. Lucas, 2004. "What's in a Grade? School Report Cards and the Housing Market," American Economic Review, American Economic Association, vol. 94(3), pages 591-604, June.
    4. Bogart, William T. & Cromwell, Brian A., 2000. "How Much Is a Neighborhood School Worth?," Journal of Urban Economics, Elsevier, vol. 47(2), pages 280-305, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hu, Lirong & He, Shenjing & Luo, Yun & Su, Shiliang & Xin, Jing & Weng, Min, 2020. "A social-media-based approach to assessing the effectiveness of equitable housing policy in mitigating education accessibility induced social inequalities in Shanghai, China," Land Use Policy, Elsevier, vol. 94(C).
    2. Ha Thi Khanh Van & Tran Vinh Ha & Takumi Asada & Mikiharu Arimura, 2022. "Vacancy Dwellings Spatial Distribution—The Determinants and Policy Implications in the City of Sapporo, Japan," Sustainability, MDPI, vol. 14(19), pages 1-26, September.
    3. Rajapaksa, Darshana & Gono, Marcel & Wilson, Clevo & Managi, Shunsuke & Lee, Boon & Hoang, Viet-Ngu, 2020. "The demand for education: The impacts of good schools on property values in Brisbane, Australia," Land Use Policy, Elsevier, vol. 97(C).
    4. Mathur, Shishir, 2022. "Non-linear and weakly monotonic relationship between school quality and house prices," Land Use Policy, Elsevier, vol. 113(C).
    5. Kubota, Kohei & Ito, Takahiro & Ohtake, Fumio, 2019. "Long-term consequences of group work in Japanese public elementary schools," Japan and the World Economy, Elsevier, vol. 52(C).
    6. Yuta Kuroda, 2022. "What does the disclosure of school quality information bring? The effect through the housing market," Journal of Regional Science, Wiley Blackwell, vol. 62(1), pages 125-149, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Christian A. L. Hilber, 2017. "The Economic Implications of House Price Capitalization: A Synthesis," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 45(2), pages 301-339, April.
    2. Margaret Brehm & Scott A. Imberman & Michael Naretta, 2017. "Capitalization of Charter Schools into Residential Property Values," Education Finance and Policy, MIT Press, vol. 12(1), pages 1-27, Winter.
    3. Gibbons, Stephen & Machin, Stephen & Silva, Olmo, 2013. "Valuing school quality using boundary discontinuities," Journal of Urban Economics, Elsevier, vol. 75(C), pages 15-28.
    4. Ozhegov, Evgeniy & Kosolapov, Nikita & Pozolotina, Iuliia, 2017. "On dependence between housing value and school characteristics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 47, pages 28-48.
    5. Xuejuan Su & Huayi Yu, 2022. "Valuing elementary schools: evidence from public school acquisitions in Beijing," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(4), pages 1117-1141, October.
    6. Agarwal, Sumit & Rengarajan, Satyanarain & Sing, Tien Foo & Yang, Yang, 2016. "School allocation rules and housing prices: A quasi-experiment with school relocation events in Singapore," Regional Science and Urban Economics, Elsevier, vol. 58(C), pages 42-56.
    7. Depro, Brooks & Rouse, Kathryn, 2015. "The effect of multi-track year-round academic calendars on property values: Evidence from district imposed school calendar conversions," Economics of Education Review, Elsevier, vol. 49(C), pages 157-171.
    8. Collins, Courtney A. & Kaplan, Erin K., 2022. "Demand for School Quality and Local District Administration," Economics of Education Review, Elsevier, vol. 88(C).
    9. Hilber, Christian A. L., 2011. "The economics implications of house price capitalization a survey of an emerging literature," LSE Research Online Documents on Economics 58596, London School of Economics and Political Science, LSE Library.
    10. 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.
    11. 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.
    12. Xiaozhou Ding & Christopher Bollinger & Michael Clark & William H. Hoyt, 2022. "Too Late to Buy a Home? School Redistricting and the Timing and Extent of Capitalization," CESifo Working Paper Series 9647, CESifo.
    13. Firpo, Sergio & Ponczek, Vladimir & Possebom, Vítor Augusto, 2014. "Private Education Market, Information on Test Scores and Tuition Practices," IZA Discussion Papers 8476, Institute of Labor Economics (IZA).
    14. Xiaozhou Ding & Christopher Bollinger & Michael Clark & William H. Hoyt, 2020. "How Do School District Boundary Changes and New School Proposals Affect Housing Prices," CESifo Working Paper Series 8069, CESifo.
    15. Biel E. Metz, 2015. "Effect of Distance to Schooling on Home Prices," The Review of Regional Studies, Southern Regional Science Association, vol. 45(2), pages 151-171, Fall.
    16. Xiao Tian & Jin Liu & Yong Liu, 2022. "How Does the Quality of Junior High Schools Affect Housing Prices? A Quasi-Natural Experiment Based on the Admission Reform in Chengdu, China," Land, MDPI, vol. 11(9), pages 1-18, September.
    17. Machin, Stephen, 2011. "Houses and schools: Valuation of school quality through the housing market," Labour Economics, Elsevier, vol. 18(6), pages 723-729.
    18. Friedson, Andrew I. & Bogin, Alexander N., 2013. "Winning pays: High school football championships and property values," Journal of Housing Economics, Elsevier, vol. 22(1), pages 54-61.
    19. Thompson, Paul N., 2016. "School district and housing price responses to fiscal stress labels: Evidence from Ohio," Journal of Urban Economics, Elsevier, vol. 94(C), pages 54-72.
    20. 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.

    More about this item

    JEL classification:

    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • I20 - Health, Education, and Welfare - - Education - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:toh:dssraa:68. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tohoku University Library (email available below). General contact details of provider: https://edirc.repec.org/data/fetohjp.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.