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Using the Fremont Unified School District in Fremont, California, as the study area, this study estimates the impact of school quality on house prices and finds that a one-standard-deviation increase in the quality of elementary, middle, and high schools significantly increases house prices—by 20 percent for an average-priced house. I urge urban planners and policy makers to explicitly recognize the impact of schools on residential segregation, to consider access to high-quality K–12 education when developing plans and policies, to collaborate with school districts to improve educational quality, and to provide incentives for the construction of affordable housing in neighborhoods with high-quality schools. [ABSTRACT FROM AUTHOR]

This study provides evidence of the impact of an urban growth boundary (UGB) on housing and land prices. The study uses a data-set that inventories sales transactions of single-family homes and of vacant lots zoned for single-family homes within two miles of either side of the eastern boundary of the primary UGB in King County, Washington. The results show that although the UGB increases land prices by 230 per cent, it decreases housing prices by 1.3 per cent. These findings should encourage policy-makers to adopt a policy framework in which a UGB's anticipated inflationary land price effect is mitigated by policies that increase housing supply. Such policies could include minimum density requirements, zoning for multifamily housing, and ordinances enabling the construction of accessory dwelling units. [ABSTRACT FROM AUTHOR]

This study provides evidence for a non-linear and weakly monotonic relationship between school quality and house prices. Using Fremont, California, as the study area, the regression analysis shows that homeowners are unwilling to pay a premium for an increase in school quality from low to medium quality. However, they are willing to pay a) a large premium when all schools are top-quality schools and b) a premium for access to nationally-renowned schools, which is in addition to the premium for top-quality schools. These findings have important land use policy significance because they provide new insights into the homeowner's residential location choice and highlight the need to consider school quality in a jurisdiction's land use and zoning decisions. • This study provides evidence for a non-linear and weakly monotonic relationship between school quality and house prices. • Dataset includes characteristics of single-family houses during the April 2012–March 2014 period in Fremont, CA, US. • Homeowners might not be willing to pay a premium for an increase in school quality from low- to medium-quality. • Homeowners pay a large premium for high-quality elementary schools when middle and high schools are high-quality too. • Homeowners pay a significant premium (12%) for nationally-renowned schools above the premium for top-quality schools. [ABSTRACT FROM AUTHOR]

Using a longitudinal data set that inventories single-family home sale transactions within 3.2 km (2 mi) of the Central District redevelopment area of Oakland, CA, this paper finds that the targeted efforts to redevelop the Central District have partially mitigated the District's negative impact on surrounding neighborhoods. The paper examined the Central District from 1992 to 2006, a period during which the District changed in character from a business district to a mixed-use vibrant area. During the period 1992 through 2000, proximity to the Central District negatively impacted housing prices up to 1.6 km (1 mi) from the District boundary. However, the magnitude of the impact reduced in the 2001-2006 period and dissipated after 0.8 km (0.5 mi) from the District boundary, indicating that the redevelopment efforts had a positive spill-over effect on surrounding property values. [ABSTRACT FROM AUTHOR]

This article uses 1991-2000 data on single-family housing sales from King County, WA, to provide new evidence relating to the effects of impact fees on housing prices. The hedonic regression method is used to examine the effects of these fees on existing housing as well as their differential effects on price as determined by housing quality. Impact fees raise existing home prices by about 83 percent of the amount of the fee. The increase is 103 percent for high-quality homes and is not statistically significant for low-quality homes. The owners of high-quality homes realize capital gains from impact fees. However, such fees do not raise the price of low-quality homes. To the extent that low-quality housing is more likely to be owned by low- and moderate-income households, which are often composed of racial and ethnic minorities, this finding has significant policy implications for the supporters of impact fees. [ABSTRACT FROM AUTHOR]

This article uses 1991–2000 data on single-family housing sales from King County, WA, to provide new evidence relating to the effects of impact fees on housing prices. The hedonic regression method is used to examine the effects of these fees on existing housing as well as their differential effects on price as determined by housing quality. Impact fees raise existing home prices by about 83 percent of the amount of the fee. The increase is 103 percent for high-quality homes and is not statistically significant for low-quality homes. The owners of high-quality homes realize capital gains from impact fees. However, such fees do not raise the price of low-quality homes. To the extent that low-quality housing is more likely to be owned by low- and moderate-income households, which are often composed of racial and ethnic minorities, this finding has significant policy implications for the supporters of impact fees. [ABSTRACT FROM AUTHOR]