Tiebout Sorting, Social Multipliers and the Demand for School Quality
43 Pages Posted: 18 Sep 2004
Date Written: June 2004
Abstract
In many theoretical public finance models, school quality plays a central role as a determinant of household location choices and in turn, of neighborhood stratification. In contrast, the recent empirical literature has almost universally concluded that the direct effect of school quality on housing demand is weak, a conclusion that is robust across a variety of research designs. Using an equilibrium model of residential sorting, this paper closes the gap between these literatures, providing clear evidence that the full effect of school quality on residential sorting is significantly larger than the direct effect - four times as great for education stratification, twice for income stratification. This is due to a strong social multiplier associated with heterogeneous preferences for peers and neighbors; initial changes in school quality set in motion a process of re-sorting on the basis of neighborhood characteristics that reinforces itself, giving rise to substantially larger stratification effects.
Keywords: Tiebout sorting, neighborhood stratification, social multiplier, school quality, education demand, capitalization, neighborhood choice, general equilibrium
JEL Classification: I20, H41, R21
Suggested Citation: Suggested Citation
Do you have negative results from your research you’d like to share?
Recommended Papers
-
Identification and Estimation of Hedonic Models
By Ivar Ekeland, James J. Heckman, ...
-
Estimating Equilibrium Models of Local Jurisdictions
By Dennis Epple and Holger Sieg
-
Identification and Estimation of Hedonic Models
By Ivar Ekeland, James J. Heckman, ...
-
By C. Lanier Benkard and Patrick Bajari
-
By C. Lanier Benkard and Patrick Bajari
-
By C. Lanier Benkard and Patrick Bajari
-
A Unified Framework for Measuring Preferences for Schools and Neighborhoods
By Patrick J. Bayer, Robert Mcmillan, ...
-
A Unified Framework for Measuring Preferences for Schools and Neighborhoods
By Patrick J. Bayer, Fernando V. Ferreira, ...