Home Is Where the Internet Is? High-speed Internet’s Impact on Rural Housing Values

2020 ◽  
Vol 43 (5) ◽  
pp. 501-530 ◽  
Author(s):  
Kelsey L. Conley ◽  
Brian E. Whitacre
Keyword(s):  
Personal Development ◽  
High Speed ◽  
Housing Prices ◽  
Federal Communications Commission ◽  
Hedonic Price ◽  
Price Model ◽  
Housing Values ◽  
Rural Housing ◽  
Home Value ◽  
The Impact

The deployment of faster household Internet speeds enables new opportunities for entertainment, social interaction, and personal development, and many consider such access an essential component of everyday life. However, rural residents face lower availability, slower speeds and limited provider options, putting them at a disadvantage when compared to their urban counterparts. Connected rural households, especially those with higher speeds, may experience a premium on their home value. Data from the National Broadband Map, the Federal Communications Commission, and over 2,700 housing transactions from June 2011 to June 2017 are used to examine the impact of broadband availability on housing values in two rural Oklahoma counties via a hedonic price model. The results find no support for the existence of a broadband premium, and stress that differences across counties are crucial in assessing rural housing prices.

Do Restrictive Land Use Regulations Make Housing More Expensive Everywhere?

2021 ◽  
pp. 089124242110435
Author(s):  
John Landis ◽  
Vincent J. Reina
Keyword(s):  
Land Use ◽  
Metropolitan Areas ◽  
Housing Prices ◽  
Housing Values ◽  
Land Use Regulations ◽  
Single Region ◽  
Home Value ◽  
Regulatory Measures ◽  
Home Values ◽  
Regulatory Measure

This study makes three contributions to the debate over the effect of local land use regulations on housing prices and affordability. First, it is more geographically extensive than previous studies, encompassing 336 of the nation's 384 metropolitan areas. Second, it looks at multiple measures of regulatory stringency, not just one. Most prior studies have focused either on a single regulatory measure or index across multiple metropolitan areas, or multiple regulatory measures in a single region. Third, this paper considers the connection between regulatory stringency and housing values as a function of employment growth and per-worker payroll levels. We find that restrictive land use regulations do indeed have a pervasive effect on local home values and rents, and that these effects are magnified in faster-growing and more prosperous economies. We also find more restrictive land use regulations are not associated with faster rates of recent home value or rent growth, and that their effects on housing construction levels—that is, the degree to which they constrain supply—is uneven among different housing markets.

“Race and Housing Values: What Happens When Whites Don't All Move Out?”

2018 ◽  
Vol 17 (1) ◽  
pp. 109-133 ◽  
Author(s):  
Richard Moye ◽  
Melvin Thomas
Keyword(s):  
Predominantly White ◽  
Residential Segregation ◽  
Negative Impact ◽  
Housing Prices ◽  
Racial Diversity ◽  
Housing Values ◽  
Black Neighborhoods ◽  
White Neighborhoods ◽  
Home Value ◽  
Black Residents

Previous research on neighborhood racial composition and housing values has demonstrated that as the proportion of Black residents in a neighborhood increases housing values lag. In this paper, we investigate whether there are neighborhood types or locations where racial diversity does not have a negative impact on housing values. This research contributes to the study of residential segregation by focusing on stable integrated neighborhoods. Using metropolitan Philadelphia as a strategic case, we compare stable, integrated neighborhoods to racially transitioning neighborhoods and predominantly White and Black neighborhoods. To do this, we comparatively examine housing prices and rates of home value appreciation from 1990 to 2005. We find that stable integrated neighborhoods have rates of appreciation slightly higher than predominantly White neighborhoods.

scholarly journals Heterogeneity Analysis of Urban Rail Transit on Housing with Different Price Levels: A Case Study of Chengdu, China

Land ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1330
Author(s):  
Pengyu Ren ◽  
Zhaoji Li ◽  
Weiguang Cai ◽  
Lina Ran ◽  
Lei Gan
Keyword(s):  
Housing Prices ◽  
Housing Price ◽  
Ordinary Least Squares ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Hedonic Price ◽  
Least Squares Regression ◽  
Price Levels ◽  
Urban Rail ◽  
The Impact

The impact of urban rail transit on housing prices has attracted the extensive attention of scholars, but few studies have explored the heterogeneous impact of rail transit on housing prices with different price levels. To solve this problem, we adopted the hedonic price model based on ordinary least squares regression as a supplementary method of quantile regression to study the heterogeneous impact of the Chengdu Metro system on low-, middle-, and high-priced housing. The result shows that the housing price rises first, then falls with the distance from the housing to the nearest subway station. Besides, the influence of transportation accessibility on low-, middle-, and high-priced housing decreases progressively. This research can provide a reference for the government’s transportation planning and decision-making.

scholarly journals Borrowed sizes: A hedonic price approach to the value of netowrk structure in public transport systems

2021 ◽  
Vol 14 (1) ◽  
pp. 87-103
Author(s):  
Helena Bohman ◽  
Désirée Nilsson
Keyword(s):  
Labor Markets ◽  
Public Transport ◽  
Positive Impact ◽  
Housing Prices ◽  
Transport Systems ◽  
Hedonic Price ◽  
Railway Stations ◽  
Commuter Rail ◽  
Price Approach ◽  
The Impact

Property prices are known to be higher in places with high accessibility, such as in proximity to train stations and especially to commuter rail, than in places without this access. This study provides a better understanding of how regional accessibility, through the structure of railway networks, can influence local agglomeration economies by providing accessibility to large labor markets. Previous literature has shown a positive impact of proximity to railway stations on housing prices, and our study adds to the literature by analyzing the impact of network structure. We argue that public transport systems can support the benefits of city networks in line with Alonso’s concept of borrowed sizes (1973). Using network theory to measure accessibility provided by the network, we show that stations that provide accessibility to large labor markets across the region are perceived as more attractive by households. Cities in proximity to other cities are strengthened through their public transport links, which allow agglomeration benefits to be exploited by residents.

scholarly journals The Impact of High-Speed Rail on Housing Prices: Evidence from China’s Prefecture-Level Cities

2019 ◽  
Vol 11 (13) ◽  
pp. 3681
Author(s):  
Rong Wang ◽  
Li Ye ◽  
Liwen Chen
Keyword(s):  
High Speed ◽  
Rapid Development ◽  
Housing Prices ◽  
Housing Price ◽  
Significance Test ◽  
Chinese Government ◽  
High Speed Rail ◽  
Local Conditions ◽  
Rail Line ◽  
The Impact

The rapid development of the high-speed rail (HSR) network enhanced the regional accessibility between cities, drove the rise in cities’ investment levels, and expanded the activity radius of the labor force, causing changes in housing prices along the rail lines. Based on panel data of 285 cities in China from 2008–2016, this study used the difference-in-difference based on propensity score matching (PSM-DID) method to calculate the impact of HSR on housing prices. The conclusions of the study indicated that, at the regional level, HSR significantly promoted the rise in housing prices in HSR cities along the rail line. HSR had a positive effect on housing prices, where the coefficient of HSR influence was 0.1511 and passed a 1% significance test. From the perspective of the combination of sub-regional and sub-city scales, HSR mainly played a significant role in promoting housing prices in “small and medium-sized cities” and “central and western cities”, especially in small and medium-sized cities in the central and western regions; in general, HSR can narrow the housing price gap between “small and medium-sized HSR cities” in the central and western regions and large HSR cities in the east region. Lastly, the results of the intermediary mechanism test showed that the income level of residents and employment levels played an intermediary role in the influence of HSR on the housing prices of cities along the rail line. Thus, this paper suggests that the Chinese government needs to formulate housing price control policies that suit local conditions according to the characteristics of different cities.

scholarly journals Effects of New Grocery Store Development on Inner-City Neighborhood Residential Prices

2017 ◽  
Vol 46 (1) ◽  
pp. 87-102 ◽  
Author(s):  
Belkis Cerrato Caceres ◽  
Jacqueline Geoghegan
Keyword(s):  
Inner City ◽  
Housing Prices ◽  
Grocery Store ◽  
Hedonic Model ◽  
Grocery Stores ◽  
Housing Values ◽  
Residential Housing ◽  
Difference In Differences ◽  
Temporal And Spatial ◽  
The Impact

A difference-in-differences approach is used to measure the impact of new inner-city grocery store developments on residential housing values in Worcester, Massachusetts. Using geocoded housing sales from 1988–2011, we develop a hedonic model, exploiting temporal and spatial discontinuities, to identify the effect of 12 new grocery stores on neighborhood housing prices. Results suggest these new stores were associated with an increase in sale prices of nearby homes, and these results could help inform current policies related to urban food deserts, in that new grocery stores have the potential to improve neighborhood wealth as well as health.

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