Research on the Influence Factors of Housing Price Based on Semi-Parametric Functional Linear Model
Authors
Peng Jin, Qing-Guo Tang
Corresponding Author
Peng Jin
Available Online May 2018.
- DOI
- 10.2991/icmesd-18.2018.170How to use a DOI?
- Keywords
- Semi-parametric functional linear model, Functional principal component analysis, Housing price, Influence factors.
- Abstract
In this paper, using the theory and method of functional principal component analysis and the optimization theory and method, we develop a new estimation method for estimating the unknown parameters and function in semi-parametric functional linear model. We use the model and its estimation method to study urban housing data. We establish the quantitative relationship between urban housing prices and its influencing factors. By using the research results, we give the important factors that affect housing prices.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Peng Jin AU - Qing-Guo Tang PY - 2018/05 DA - 2018/05 TI - Research on the Influence Factors of Housing Price Based on Semi-Parametric Functional Linear Model BT - Proceedings of the 4th Annual International Conference on Management, Economics and Social Development (ICMESD 2018) PB - Atlantis Press SP - 995 EP - 1001 SN - 2352-5428 UR - https://doi.org/10.2991/icmesd-18.2018.170 DO - 10.2991/icmesd-18.2018.170 ID - Jin2018/05 ER -