Document Type

Master's Culminating Experience

Publication Date



This paper analyzes the Dayton, Ohio Metropolitan Statistical Area (MSA) to examine the extent to which public school quality influences housing prices. Research is conducted in the Dayton region at both the city and neighborhood levels. City level analysis indicates a significant linear relationship between school quality and home prices. However, the results of this analysis are likely distorted by collinearity between school quality and neighborhood characteristics, such as crime rate. In an effort to mitigate collinearity and control for neighborhood characteristics, neighborhood level analysis is conducted using 933 individual homes located in areas where separate school districts border. The evidence of this examination suggests school quality significantly influences housing prices in school districts rated above the mean. However, in areas where school districts rate at or below the mean, school performance is not shown to significantly influence housing values.