Neighborhood Affluence, School-Achievement Scores, and Housing Prices: Cross-Classified Hierarchies and HLM

Uyar, Bulent; Brown, Kenneth H.

doi:10.1080/10835547.2007.12091980

Cited by 16 publications

(11 citation statements)

References 16 publications

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“…Educational amenities also have a positive and significant influence on land prices. This result is in line with previous research reporting a positive relationship between higher educational level and increased residential land prices (Clapp et al, 2008;Espey & Owusu-Edusei, 2001;Uyar & Brown, 2007). Surprisingly, a significant relationship between lethal traffic accidents and land prices was not found.…”

Section: Conclusion Limitations and Future Researchsupporting

confidence: 91%

“…There is compelling evidence linking urban amenities such as schools and sports facilities to residential land prices (Clapp, Nanda, & Ross, 2008;Espey & Owusu-Edusei, 2001;Kim & Zabel, 2007;Uyar & Brown, 2007). The theoretical framework linking accessibility to land prices is known in the literature as land rent theory (Alonso, 1964).…”

Section: Literature Review and Development Of The Hypothesesmentioning

confidence: 99%

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A spatial econometric analysis of residential land prices in Kuwait

Mostafa

2018

Regional Studies, Regional Science

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Land price mapping has recently drawn considerable attention from academics and practitioners alike. This paper investigates the factors influencing residential land prices in a rather underrepresented part of the world. Owing to land prices' spatial association and heterogeneity, the study uses both traditional and Bayesian spatial regression techniques to test the impact of population density, the percentage of Kuwaitis among the total population, the total number of schools, traffic accidents, and air pollution as measured by the prevalence of both carbon monoxide (CO, ppm) and ground-level or tropospheric ozone level (O 3 , ppb) on residential land prices in Kuwait. The general pattern of the results shows that land prices are driven positively by density, the percentage of Kuwaitis and the existence of educational amenities, while air pollution has a negative impact on prices. The analysis also reveals that land prices in Kuwait tend to cluster in groups/hotspots. It is argued that such an accurate identification of hotspots and the correct understanding of their relation to explanatory variables can help decision-makers to make sound decisions in areas as diverse as planning for amenities and zoning.

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Section: Conclusion Limitations and Future Researchsupporting

confidence: 91%

Section: Literature Review and Development Of The Hypothesesmentioning

confidence: 99%

A spatial econometric analysis of residential land prices in Kuwait

Mostafa

2018

Regional Studies, Regional Science

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“…According to Durrant, Vassallo, and Smith (2018), not accounting correctly for such multiple membership structures leads to biased results. Researchers can study HCM and MMMC indepth in Browne, Goldstein, and Rasbash (2001), Meyers and Beretvas (2006), Uyar and Brown (2007), Fávero (2011), Rabe-Hesketh and Skrondal (2012a, 2012b, Chung and Beretvas (2012), Brunton-Smith, Sturgis, and Leckie (2017), and Fávero, Serra, Santos, and Brunaldi (2018b.…”

Section: Final Remarksmentioning

confidence: 99%

Multilevel modeling for longitudinal data: concepts and applications

Hair

Fávero

2019

RAUSP

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Purpose This paper aims to discuss multilevel modeling for longitudinal data, clarifying the circumstances in which they can be used. Design/methodology/approach The authors estimate three-level models with repeated measures, offering conditions for their correct interpretation. Findings From the concepts and techniques presented, the authors can propose models, in which it is possible to identify the fixed and random effects on the dependent variable, understand the variance decomposition of multilevel random effects, test alternative covariance structures to account for heteroskedasticity and calculate and interpret the intraclass correlations of each analysis level. Originality/value Understanding how nested data structures and data with repeated measures work enables researchers and managers to define several types of constructs from which multilevel models can be used.

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“…Lot and house sizes are positively correlated with house prices, as found in Brasington and Haurin (2006); Chiodo, Hernández-Murillo, and Owyang (2010); Dougherty et al (2009); and Zahirovic-Herbert and Turnbull (2008). The age of the house is negatively correlated with house prices, as found in Goodman and Thibodeau (1995) and Uyar and Brown (2007). Among the variables that control for neighborhood characteristics, the percentage of the Asian population in a census block is positively correlated with house prices, whereas the percentage of the renter population in a census block is negatively correlated with house prices.…”

Section: Resultsmentioning

confidence: 84%

The Myth of “Free” Public Education: Impact of School Quality on House Prices in the Fremont Unified School District, California

Mathur

2016

Journal of Planning Education and Research

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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.

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Neighborhood Affluence, School-Achievement Scores, and Housing Prices: Cross-Classified Hierarchies and HLM

Cited by 16 publications

References 16 publications

A spatial econometric analysis of residential land prices in Kuwait

A spatial econometric analysis of residential land prices in Kuwait

Multilevel modeling for longitudinal data: concepts and applications

The Myth of “Free” Public Education: Impact of School Quality on House Prices in the Fremont Unified School District, California

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