• [email protected]
  • +971 507 888 742
Submit Manuscript
SciAlert
  • Home
  • Journals
  • Information
    • For Authors
    • For Referees
    • For Librarian
    • For Societies
  • Contact
  1. Journal of Software Engineering
  2. Vol 10 (1), 2016
  3. 170-184
  • Online First
  • Current Issue
  • Previous Issues
  • More Information
    Aims and Scope Editorial Board Guide to Authors Article Processing Charges
    Submit a Manuscript

Journal of Software Engineering

Year: 2016 | Volume: 10 | Issue: 1 | Page No.: 170-184
DOI: 10.3923/jse.2016.170.184

Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Article Trend



Total views 119

Authors


Kerong  Zhang

Kerong Zhang

LiveDNA: 86.7631

Wuyi Liu

Country: China

Keywords


  • disposable income
  • commercial housing price
  • Vector autoregressive model
  • least squares estimation
  • time series data
Case Study

Numerical Computation of the Fluctuations of Commercial Housing Prices and Disposable Incomes of Urban Residents Based on the VAR and LSE Models

Kerong Zhang Kerong  Zhang's LiveDNA and Wuyi Liu
To ensure the healthy development of the national real estate industry and explore the determinant of commercial housing prices in China, the correlation between fluctuations of commercial housing prices and disposable incomes of urban residents was analyzed and predicted with annual time series data based on Vector autoregressive (VAR) model. The study dealt with the bifactorial data and found positive correlations in both the empirical VAR model and the Least Squares Estimation (LSE) model. The Granger causality test and Cointegration tests were next carried out to verify the rationality of the empirical VAR model and its settings. The present study revealed that the urban resident disposable income was one of the crucial impact factors influencing the rising commercial housing prices. There exists a positive correlation or convergence relationship between the development trends of the commercial housing prices and the disposable incomes of urban residents on the basis of a fifteen years prediction by impulse response function. Finally, some comments and suggestions were put forward relevant to the corresponding policy adjustment and decision making of commercial housing market in view of the present empirical study.
PDF Fulltext XML References Citation

How to cite this article

Kerong Zhang and Wuyi Liu, 2016. Numerical Computation of the Fluctuations of Commercial Housing Prices and Disposable Incomes of Urban Residents Based on the VAR and LSE Models. Journal of Software Engineering, 10: 170-184.

DOI: 10.3923/jse.2016.170.184

URL: https://scialert.net/abstract/?doi=jse.2016.170.184

Leave a Comment


Your email address will not be published. Required fields are marked *

Useful Links

  • Journals
  • For Authors
  • For Referees
  • For Librarian
  • For Socities

Contact Us

Office Number 1128,
Tamani Arts Building,
Business Bay,
Deira, Dubai, UAE

Phone: +971 507 888 742
Email: [email protected]

About Science Alert

Science Alert is a technology platform and service provider for scholarly publishers, helping them to publish and distribute their content online. We provide a range of services, including hosting, design, and digital marketing, as well as analytics and other tools to help publishers understand their audience and optimize their content. Science Alert works with a wide variety of publishers, including academic societies, universities, and commercial publishers.

Follow Us
© Copyright Science Alert. All Rights Reserved