The Behavioral Mechanism and Forecasting of Beijing Housing Prices from a Multiscale Perspective
The first-hand house price in Beijing, the capital of China, has skyrocketed with 43 percent annual growth from 2005 to 2017, exerting tremendous adverse effects on people’s livelihood and the development of real estate. Thus, exploring the behavioral mechanism and accurate forecasts of house prices...
Saved in:
Main Authors: | Yan Li, Zhaoyang Xiang, Tao Xiong |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2020/5375206 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Housing Price Forecasting Using AI (LSTM)
by: Hossein Ziyadi, et al.
Published: (2023-12-01) -
Crypto Currency Price Forecast: Neural Network Perspectives
by: Yuriy Kleban, et al.
Published: (2022-12-01) -
House Price Prediction: A Multi-Source Data Fusion Perspective
by: Yaping Zhao, et al.
Published: (2024-09-01) -
Tax on Vacant Houses and Housing Price Bubble in Shiraz
by: Sara Parang, et al.
Published: (2024-12-01) -
Multiscale Analysis of the Interfacial Mechanical Behavior for Composite of Carbon Nanotube and α-Alumina
by: Tingting Yan, et al.
Published: (2014-01-01)