摘要翻译:
城市房价与当地社会经济因素密切相关。在文献中,房价建模是基于传统人口普查中的社会经济变量,不具有实时性、动态性和全面性。受新兴的“数字普查”概念启发--利用大规模的人类活动数字记录来测量城市人口动态和社会经济状况,我们将311投诉、犯罪投诉和出租车出行三个典型数据集引入房价建模。基于纽约市的个人住房销售数据,我们提供了全面的证据,表明无论是否包括传统的人口普查数据,这些数字人口普查数据集都可以显著提高对房价水平和变化的建模性能。因此,数字人口普查可以作为传统人口普查的有效替代和补充,进行房价建模。
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英文标题:
《House Price Modeling with Digital Census》
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作者:
Enwei Zhu, Stanislav Sobolevsky
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最新提交年份:
2018
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分类信息:
一级分类:Economics 经济学
二级分类:Econometrics 计量经济学
分类描述:Econometric Theory, Micro-Econometrics, Macro-Econometrics, Empirical Content of Economic Relations discovered via New Methods, Methodological Aspects of the Application of Statistical Inference to Economic Data.
计量经济学理论,微观计量经济学,宏观计量经济学,通过新方法发现的经济关系的实证内容,统计推论应用于经济数据的方法论方面。
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一级分类:Physics 物理学
二级分类:Physics and Society 物理学与社会
分类描述:Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体(人类或其他)的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统(如能源网、运输网络)的物理和工程。
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英文摘要:
Urban house prices are strongly associated with local socioeconomic factors. In literature, house price modeling is based on socioeconomic variables from traditional census, which is not real-time, dynamic and comprehensive. Inspired by the emerging concept of "digital census" - using large-scale digital records of human activities to measure urban population dynamics and socioeconomic conditions, we introduce three typical datasets, namely 311 complaints, crime complaints and taxi trips, into house price modeling. Based on the individual housing sales data in New York City, we provide comprehensive evidence that these digital census datasets can substantially improve the modeling performances on both house price levels and changes, regardless whether traditional census is included or not. Hence, digital census can serve as both effective alternatives and complements to traditional census for house price modeling.
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PDF链接:
https://arxiv.org/pdf/1809.03834