The impact of colleges and hospitals to local real estate markets

被引:0
作者
Ryan Rivas
Dinesh Patil
Vagelis Hristidis
Joseph R. Barr
Narayanan Srinivasan
机构
[1] University of California,Department of Computer Science and Engineering
[2] Barr Analytics,undefined
[3] HomeUnion,undefined
[4] Inc.,undefined
来源
Journal of Big Data | / 6卷
关键词
Home prices; Rent; Appreciation; Volatility; University proximity; Hospital proximity;
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中图分类号
学科分类号
摘要
This paper studies how the presence of universities and hospitals influences local home prices and rents. We analyze the data on ZIP code level and on the level of individual homes. Our ZIP code-level analysis uses median home price data from 13,105 ZIP codes over 21 years and rent data from 15,918 ZIP codes over 7 years to compare a ZIP code’s appreciation, volatility and vacancies to the size of a university or hospital within that ZIP code. Our home-level analysis uses data from 2,786,895 homes for sale and 267,486 homes for rent to study the impact of the distance from the nearest university or hospital to individual home prices. While our results generally agree with our expectations that larger, closer institutions yield higher prices, we also find some interesting results that challenge these expectations, such as positive correlations between volatility and university/hospital size in some ZIP codes, a positive correlation between rent and distance from a hospital for some homes, and lower correlations of rent vs. distance from a university compared to price vs. distance.
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共 49 条
[1]  
Bostic RW(2007)Land leverage: decomposing home price dynamics Real Estate Econ. 35 183-208
[2]  
Longhofer SD(2015)Hedonic regressions and the decomposition of a house price index into land and structure components Econometric Rev. 34 106-126
[3]  
Redfearn CL(1998)Pricing residential amenities: the value of a view J Real Estate Finance Econ. 16 55-73
[4]  
Diewert WE(2015)The impact of traffic noise on housing values J Real Estate Pract Educ. 18 35-54
[5]  
Haan JD(2017)Home price index: a machine learning methodology Int J Semantic Comput 11 111-133
[6]  
Hendricks R(2015)Global liquidity, house prices, and the macroeconomy: evidence from advanced and emerging economies J Money Credit Banking. 47 301-335
[7]  
Benson ED(2015)Credit supply and the price of housing Am Econ Rev. 105 958-992
[8]  
Hansen JL(2015)The housing market impacts of shale gas development Am Econ Rev 105 3633-3659
[9]  
Schwartz AL(1993)Residential property values in a multinodal urban area: new evidence on the implicit price of location J Real Estate Finan Econ. 7 117-141
[10]  
Smersh GT(2018)Green pastures: do US real estate prices respond to population health? Health Place. 49 59-67