"Combining Forecasts to Predict Property Values for Single-Family Residences": Comment

1978 ◽  
Vol 54 (4) ◽  
pp. 524 ◽  
Author(s):  
Ronald A. Oliveira

1976 ◽  
Vol 52 (2) ◽  
pp. 221 ◽  
Author(s):  
Steven Wood




2015 ◽  
Vol 35 (4) ◽  
pp. 471-488 ◽  
Author(s):  
Wei Li ◽  
Kenneth Joh ◽  
Chanam Lee ◽  
Jun-Hyun Kim ◽  
Han Park ◽  
...  


2017 ◽  
Vol 49 (51) ◽  
pp. 5183-5199 ◽  
Author(s):  
Arturo Bujanda ◽  
Thomas M. Fullerton


2012 ◽  
Vol 30 (4) ◽  
pp. 182-188 ◽  
Author(s):  
Emmett Elam ◽  
Andrea Stigarll

This research examined the impacts of improvement in landscape quality and exterior house features on residential property values. These two combined factors are referred to as ‘curb appeal’ — i.e., the visual appearance of a property as viewed from the curb in front of a house. It is well understood regarding residential property that curb appeal affects house value, but a quantitative estimate of the size/magnitude of the effect is not available. This study developed a quantitative indicator of curb appeal, included it in a hedonic house pricing model, and determined its independent effect on values. Results confirmed that curb appeal has a positive impact on house value, with landscape and house appearance approximately equal in impact. With improved curb appeal, house price can increase up to 17%.





2019 ◽  
Vol 41 (4) ◽  
pp. 555-603 ◽  
Author(s):  
Wei Sun ◽  
Ying Huang ◽  
Ronald W. Spahr ◽  
Mark A. Sunderman ◽  
Minxing Sun

We identify the real and social costs associated with neighborhood blight by creating unique neighborhood blight indices based on average individual property blight scores in Memphis, Tennessee. Both individual property blight scores and neighborhood blight indices negatively impact single-family sale prices and assessed valuations. We validate the data accuracy of a 2016 blight survey, finding that supplemental information collected for each property accurately predicts its assigned blight score. We apply factor analysis, Shapley-Owen decomposition, and hedonic regressions to identify blight drivers that include neighborhood demographic and economic factors associated with both individual property and neighborhood blight. We find that blight scores provide informational value in addition to county assessor and data for each property and census data for each neighborhood. We quantify neighborhood characteristics and demographic factors impacting both individual property and neighborhood blight effects on neighborhood esthetics and property values that helps identify blight resolution alternatives.



2017 ◽  
Vol 55 (2) ◽  
pp. 501-529 ◽  
Author(s):  
Michael Craw

The relationship between neighborhood racial composition and property values is generally explained as a consequence of White household exit from racially and ethnically mixed neighborhoods. But some neighborhoods offer opportunities for households to exercise voice in response to neighborhood change rather than exit. This article argues that differences across neighborhoods in how they are governed play a significant role in mediating the relationship between property values and neighborhood racial and ethnic composition. Using geocoded data on sales of detached single family homes in Little Rock from 2000 to 2014, this article finds that neighborhood associations tend to increase the effect of the size of a neighborhood’s Black population on property values. At the same time, homeowner associations tend to reduce the effect of neighborhood Black population on property values.



2016 ◽  
Vol 9 (4) ◽  
pp. 483-501 ◽  
Author(s):  
Jin-Seong Lee

Purpose The primary purpose of this study is to identify whether there is a price premium and consumers’ preferences for higher housing density, and whether there is a relationship between housing densities and sales prices. The second purpose was to identify if there is a non-linear relationship between housing density and prices even though housing density is directly associated with housing prices. Design/methodology/approach This paper applies hedonic modeling techniques to measure the value of development density of apartments in the metropolitan area of Seoul, South Korea. The regression of the sale price is a function of different types of variables such as density, market, location and other control variables. Findings For the first question, this paper concludes that the higher densities cause housing prices to decrease in Seoul. The summary of the results presents that housing density, floor area ratio (FAR), building coverage ratio and floor level are all important components affecting housing prices. Generally, consumers tend to buy housing with central heating systems, more parking spaces, smaller portion of rental housing within an apartment and buildings that have more of a mixed-use function. Consumers are also found to pay higher premiums for housing in areas with high population growth and less housing supply. It is conclusive that people are inclined to live in populated areas but do not want more density. For the second question, the results show that generally FAR has quadratic effects, but most housing density variables tend to have a non-linear relationship depending on the different quantile groups. Originality/value There is a knowledge gap in the area of estimating development density of apartments. Generally, studies investigating property value impacts of multifamily housing focus on external effects of the multifamily housing on home values to examine whether high density development could result in a decrease in nearby property values. These studies found that there are some positive effects. A study found that high-density housing increases property values of existing single-family homes (Joint Center for Housing Studies, 2011). More specifically, developments that are of a high design quality and superior landscaping increase values of single-family homes as well. Also, those residents who live in these high-density apartments can be good potential buyers for the existing single-family homes. The greater the number of buyers, the greater the housing market becomes. Similarly, according to a report by the Joint Center for Housing Studies (2011) at Harvard University, the presence of multifamily residents correlates with higher home values in “working communities”. Indeed, density can be an important factor determining value of apartments because of its unique characteristics. However, no empirical evidence has been provided in the literature with regard to the value of the development density. This study contributes toward improving this knowledge gap.





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