A unified framework for measuring preferences for schools an
A unified framework for measuring preferences for schools and neighborhoods
6 min read
Rate this book:
About This Book
This paper develops a comprehensive framework for estimating household preferences for school and neighborhood attributes in the presence of sorting. It embeds a boundary discontinuity design in a heterogeneous model of residential choice to address the endogeneity of school and neighborhood attributes. The model is estimated using restricted-access Census data from a large metropolitan area, yielding a number of new results. First, households are willing to pay less than one percent more in house prices -- substantially lower than previous estimates -- when the average performance of the local school increases by five percent. Second, much of the apparent willingness to pay for more educated and wealthier neighbors is explained by the correlation of these sociodemographic measures with unobserved neighborhood quality. Third, neighborhood race is not capitalized directly into housing prices; instead, the negative correlation of neighborhood race and housing prices is due entirely to the fact that blacks live in unobservably lower quality neighborhoods. Finally, there is considerable heterogeneity in preferences for schools and neighbors: in particular, we find that households prefer to self-segregate on the basis of both race and education.
Buy This Book
As an Amazon Associate and Bookshop.org affiliate, BookOrb earns from qualifying purchases.
Write a Review
Sign in to write a review.
More by Patrick J. Bayer
An equilibrium model of sortin
An equilibrium model of sorting in an urban housing market
Building criminal capital behi
Building criminal capital behind bars
Choice and competition in loca
Choice and competition in local education markets
Identifying individual and gro
Identifying individual and group effects in the presence of sorting
Migration and hedonic valuatio
Migration and hedonic valuation
Nonparametric identification a
Nonparametric identification and estimation in a generalized Roy model