基于特征价格模型的上海小区房价研究

发布时间：2018-03-16 00:26

本文选题：上海小区房价　切入点：特征价格模型　出处：《复旦大学》2014年硕士论文　论文类型：学位论文

【摘要】：随着九十年代末开始的房地产市场化,随着老百姓的收入不断提高,也随着政府对土地财政的依赖加深,房地产价格这些年来一直深受老百姓、政府以及房地产商的关注。作为一线城市的上海更是备受关注。本文以特征价格模型为基础,以上海的小区房价为研究对象,构建合适的特征价格模型。本文从影响小区房价的特征因素出发,利用Hedonic模型对上海2013至2014年的小区房价进行了研究,本文首先介绍了特征价格模型的国内外发展情况,之后对特征价格模型的理论进行了一定的阐述,然后针对上海小区房价的特点,进行了特征价格模型的建立：依次包括研究的范围选择、变量的选取和量化、适当的数据来源、回归模型的创建、假设检验、从静态和动态两方面入手,利用多远回归分析影响小区房价的因素,利用虚拟的交互项分析和研究这些因素对房价的影响程度随房价上涨的变化情况。希望对购房者和房地产商在房屋的买卖和投资中提供一定的理论依据。
[Abstract]:With the marketization of real estate that began at the end of 90s, with the increasing income of ordinary people and the deepening dependence of the government on land finance, real estate prices have been deeply received by ordinary people over the years. The concern of the government and real estate developers. Shanghai, as a first-tier city, is paid more attention. Based on the characteristic price model, this paper takes residential housing prices in Shanghai as the research object. Based on the characteristic factors affecting residential housing prices, this paper studies the residential housing prices in Shanghai from 2013 to 2014 using the Hedonic model. Firstly, this paper introduces the development of the feature price model at home and abroad. After that, the theory of feature price model is expounded, and then the characteristic price model is built according to the characteristics of housing price in Shanghai residential area: the selection of range of research, the selection and quantification of variables, and the appropriate data source, in turn. The establishment of regression model, hypothesis test, from the static and dynamic aspects, the use of multiple regression analysis of the impact of residential housing prices, This paper analyzes and studies the influence degree of these factors on house price with the rise of house price by using fictitious interactive terms, hoping to provide some theoretical basis for the buyers and real estate developers to buy and invest in the house.
【学位授予单位】：复旦大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F299.23

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