Related Experiment Video
Updated: Aug 28, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Research on China's Risk of Housing Price Contagion Based on Multilayer Networks
Lu Qiu1, Rongpei Su1, Zhouwei Wang1
1School of Finance and Business, Shanghai Normal University, Shanghai 200234, China.
Abstract:
The major issue in the evolution of housing prices is risk of housing price contagion. To model this issue, we constructed housing multilayer networks using transfer entropy, generalized variance decomposition, directed minimum spanning trees, and directed planar maximally filtered graph methods, as well as China's comprehensive indices of housing price and urban real housing prices from 2012 to 2021. The results of our housing multilayer networks show that the topological indices (degree, PageRank, eigenvector, etc.) of new first-tier cities (Tianjin, Qingdao, and Shenyang) rank higher than those of conventional first-tier cities (Beijing, Shanghai, Guangzhou, and Shenzheng).
Related Concept Videos
Scatter Plot
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
The Anchoring-and-Adjustment Heuristic
Hazard Rate
Relative Risk
Social Traps

