Considering the lack of exploration of housing market sentiment in previous work, this paper uses quantile regression for panel data (QRPD) to investigate how housing price and housing market sentiment affect non-housing consumption distributions among owners and renters during their life cycles in China. The results show that the positive effect of housing price on consumption is stronger at the higher and lower parts of the distribution, and the differences caused by ages are more significant for owners. Furthermore, the housing market sentiment plays a significant role in owners' and highest-consuming renters' consumption. The heterogeneities in QRPD results suggest that the least square method provides less information. This study offers practical implication for governments in conducting different housing policy strategies for different households so as to help households benefit from the development of housing market and hence increase social welfare and equality.
Habitat International – Elsevier
Published: Jul 1, 2018
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera