
Statistical Analysis with Hedonic Pricing Models: Estimation of Real-Estate Values and Anticipation of Housing Price in Beijing, China
Author(s) -
Haoxuan Lyu,
Zeyuan Liu
Publication year - 2020
Publication title -
finance and market
Language(s) - English
Resource type - Journals
ISSN - 2424-8401
DOI - 10.18686/fm.v5i3.2499
Subject(s) - beijing , real estate , anticipation (artificial intelligence) , china , estimation , hedonic pricing , econometrics , house price , economics , price index , financial economics , finance , computer science , geography , management , archaeology , artificial intelligence
On the basis of big data regarding the sold house price in Beijing from 2011 to 2017, this research aims to exhibit a comprehensive and rational deducing progress in character with the justified and formulated variables and visible results to be instrumental in the prediction of housing price in Beijing, and it attributes the dominated factors amongst all dependent variables. In this paper, the hedonic price model is the primary analyzing tool to cope with the intrinsic factors in real-estate estimation and prediction.