Exploring the trend of New Zealand housing prices to support sustainable development

Linlin Zhao, Jasper Mbachu, Zhansheng Liu

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Abstract

The New Zealand housing sector is experiencing rapid growth that has a significant impact on society, the economy, and the environment. In line with the growth, the housing market for both residential and business purposes has been booming, as have house prices. To sustain the housing development, it is critical to accurately monitor and predict housing prices so as to support the decision-making process in the housing sector. This study is devoted to applying a mathematical method to predict housing prices. The forecasting performance of two types of models: autoregressive integrated moving average (ARIMA) and multiple linear regression (MLR) analysis are compared. The ARIMA and regression models are developed based on a training-validation sample method. The results show that the ARIMA model generally performs better than the regression model. However, the regression model explores, to some extent, the significant correlations between house prices in New Zealand and the macro-economic conditions.

Original languageEnglish
Article number2482
JournalSustainability (Switzerland)
Volume11
Issue number9
DOIs
Publication statusPublished - 28 Apr 2019

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Sustainable development
New Zealand
sustainable development
housing
trend
regression
mathematical method
housing development
housing market
economic conditions
macroeconomics
numerical method
decision-making process
regression analysis
Linear regression
Regression analysis
Macros
decision making
price
Decision making

Cite this

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Exploring the trend of New Zealand housing prices to support sustainable development. / Zhao, Linlin; Mbachu, Jasper; Liu, Zhansheng.

In: Sustainability (Switzerland), Vol. 11, No. 9, 2482, 28.04.2019.

Research output: Contribution to journalArticleResearchpeer-review

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