Proceedings of the 5th International Conference on Economics, Management, Law and Education (EMLE 2019)

Research on Threshold Effect of Housing Price on Real Estate Inventory

Authors
Dong Zhang, Haojie Wang
Corresponding Author
Dong Zhang
Available Online 7 January 2020.
DOI
https://doi.org/10.2991/aebmr.k.191225.051How to use a DOI?
Keywords
housing price, real estate inventory, system GMM estimation, threshold regression
Abstract
Through the systematic GMM estimation of the panel data of 35 large and medium-sized cities in China from 2005 to 2016, this paper verifies the nonlinear relationship between housing prices and real estate inventory. On this basis, the threshold regression model is established by modifying the econometric model. It is suggested that cities with high real estate inventory should guide the housing price to return to a reasonable range, while cities with low inventory should increase land supply to strengthen housing security.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Dong Zhang
AU  - Haojie Wang
PY  - 2020
DA  - 2020/01/07
TI  - Research on Threshold Effect of Housing Price on Real Estate Inventory
BT  - Proceedings of the 5th International Conference on Economics, Management, Law and Education (EMLE 2019)
PB  - Atlantis Press
SP  - 295
EP  - 300
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.191225.051
DO  - https://doi.org/10.2991/aebmr.k.191225.051
ID  - Zhang2020
ER  -