Between Dec 19, 2024 and Jan 2, 2025, datasets can be submitted to DRUM but will not be processed until after the break. Staff will not be available to answer email during this period, and will not be able to provide DOIs until after Jan 2. If you are in need of a DOI during this period, consider Dryad or OpenICPSR. Submission responses to the UDC may also be delayed during this time.
 

Interest rates and housing prices: A cross comparison between the US and China

Loading...
Thumbnail Image

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Interest rates and housing prices: A cross comparison between the US and China

Published Date

2016

Publisher

Type

Thesis or Dissertation

Abstract

Interest rates (e.g., government bond yields, mortgage rate) are an essential monetary tool to regulate economy. Existing scholars have studied the impact of interest rates and some non-monetary factors such as physical investment on housing prices. Using multivariate linear regressions, this study investigates the predictive capability of interest rates and additional control variables that either are inspired by the previous studies or haven’t been examined before over the housing prices of the US and China. Throughout the analyses, mortgage premium, household indebtedness, and net physical investment are found to have more predictive capability in the US housing market, whereas term premium and deposit to GDP ratio pose more impact on China. Furthermore, even though Chinese economy is more government-intervened, there is no evidence that newly-published polices have regulatory effect over the housing prices in China.

Description

Related to

Replaces

License

Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Other identifiers

Suggested citation

Wang, Xinyang (Nathan). (2016). Interest rates and housing prices: A cross comparison between the US and China. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/184898.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.