Chinese Superstition and Real Estate Prices: Transaction-level Evidence from the US Housing Market
Brad Humphreys,
Adam Nowak and
Yang Zhou
Additional contact information
Adam Nowak: West Virginia University, Department of Economics
Yang Zhou: West Virginia University, Department of Economics
No 17-18, Working Papers from Department of Economics, West Virginia University
Abstract:
We investigate the impact of Chinese superstition on prices paid by Chinese home buyers in Seattle, Washington. Chinese consider 8 lucky and 4 unlucky. Empirical results indicate Chinese buyers pay a 1-2% premium for addresses including an 8 and a 1% discount for addresses including a 4. These results are unrelated to unobserved property quality: no premium exists when Chinese sell to non-Chinese. Absent explicit identifiers for Chinese individuals, we develop a binomial name classifier using methods from the biomedical and document classification literature, allowing for falsification tests using other ethnic groups and mitigating ambiguity attributable to transliteration of Chinese characters into the Latin alphabet.
Keywords: Superstition; supervised learning; hedonic price model; name matching (search for similar items in EconPapers)
JEL-codes: D03 R21 R30 (search for similar items in EconPapers)
Pages: 38 pages
Date: 2017-09
New Economics Papers: this item is included in nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://researchrepository.wvu.edu/cgi/viewcontent ... =econ_working-papers (application/pdf)
Our link check indicates that this URL is bad, the error code is: 403 Forbidden
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:wvu:wpaper:17-18
Access Statistics for this paper
More papers in Working Papers from Department of Economics, West Virginia University Contact information at EDIRC.
Bibliographic data for series maintained by Feng Yao ().