A Study of Contemporaneous Residential Real Estate Price Causation Across Major Jiangsu Province Cities: Methodology Using Vector Error-Correction Models and Directed Acyclic Graphs
North Carolina State University
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Abstract
This study employs a unified methodological approach, integrating vector error-correction modeling (VECM) with directed acyclic graphs (DAGs), to rigorously examine the changing interrelationships in monthly housing prices across five major Jiangsu Province cities: Nanjing, Xuzhou, Wuxi, Kunshan, and Suzhou. The investigation covers a substantial timeframe of nearly 13 years (January 2012–July 2024). Complementary computational methods infer the underlying DAG structure: first, the PC algorithm establishes an initial set of plausible causal patterns; second, the LiNGAM (Linear Non-Gaussian Acyclic Model) technique utilizes data non-Gaussianity to resolve directional uncertainties, pinpointing a definitive…
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106
total citations
- FWCI
- 267.92
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- 100%
- References
- 87
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Authors
2Topics & keywords
Keywords
- Directed acyclic graph
- Real estate
- Causal model
- Directed graph
- Vector autoregression
- Causation
- Robustness (evolution)
- Price discovery
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