The Value of School Facility Investments: Evidence from a Dynamic Regression Discontinuity Design<sup>*</sup>

Stephanie Riegg Cellini, Fernando Ferreira, Jesse Rothstein

The Quarterly Journal of Economics · 2010 · 505 citations · 58 references

TL;DR

Public infrastructure spending is widespread, yet its economic return remains poorly understood. The study estimates the value of school facility investments by applying housing‑market models that predict optimal spending where marginal increases no longer affect local housing prices. The authors use a regression discontinuity design comparing narrowly passed versus failed bond referenda to isolate exogenous investment variation and extend it to capture dynamic effects on housing prices, student achievement, and district composition. Passing a school bond referendum in California raises local home prices by about $1.50 per $1 of capital spending, indicating underinvestment, with the price effect largely unrelated to homeowner income or race and only modestly linked to test‑score improvements.

Abstract

Despite extensive public infrastructure spending, surprisingly little is known about its economic return. In this paper, we estimate the value of school facility investments using housing markets: standard models of local public goods imply that school districts should spend up to the point where marginal increases would have zero effect on local housing prices. Our research design isolates exogenous variation in investments by comparing school districts where referenda on bond issues targeted to fund capital expenditures passed and failed by narrow margins. We extend this traditional regression discontinuity approach to identify the dynamic treatment effects of bond authorization on local housing prices, student achievement, and district composition. Our results indicate that California school districts underinvest in school facilities: passing a referendum causes immediate, sizable increases in home prices, implying a willingness to pay on the part of marginal homebuyers of $1.50 or more for each $1 of capital spending. These effects do not appear to be driven by changes in the income or racial composition of homeowners, and the impact on test scores appears to explain only a small portion of the total housing price effect.

References

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