The value of school in urban China: a spatial quantile regression with housing transactions in Beijing

Leiju Qiu, Dongmei Guo, Xuankai Zhao and Wenzhan Zhang

Applied Economics, 2020, vol. 52, issue 20, 2135-2146

Abstract: This study adopts microdata of individual housing transactions in Beijing to explore the value that households place on high-quality schools. It is among the first to match exactly the housing unit with its corresponding school in studies on Chinese housing markets. We find a significant school premium of 21.1% in Beijing’s housing market after controlling the unobservable neighbourhood effects using regressions with a spatial lag. We have further discovered different school premiums across quantiles with a spatial quantile regression. The result finding a larger school premium in the lower-priced housing units suggests that low-income households prefer high-quality schools over housing consumption. Our results indicate that public education influences households’ residential location choice and housing consumption decisions, which thus have important policy implications in public goods provision, housing development and urban planning.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2019.1683146 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:applec:v:52:y:2020:i:20:p:2135-2146

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20

DOI: 10.1080/00036846.2019.1683146

Access Statistics for this article

Applied Economics is currently edited by Anita Phillips

More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().