Valuing School Quality via a School Choice Reform

DOIhttp://doi.org/10.1111/sjoe.12133
Published date01 January 2016
AuthorKjell G. Salvanes,Stephen Machin
Date01 January 2016
Scand. J. of Economics 118(1), 3–24, 2016
DOI: 10.1111/sjoe.12133
Valuing School Quality via a School
Choice Reform
Stephen Machin
University College London, London, WC1H 0AX, UK
s.machin@ucl.ac.uk
Kjell G. Salvanes
Norwegian School of Economics, NO-5045 Bergen, Norway
kjell.salvanes@nhh.no
Abstract
Among policymakers, educators, and economists, there remains a strong debate on the extent
to which good schools matter. In this paper, we estimate school quality valuations based
upon house prices, by considering a policy reform regarding pupils’ choices to attend high
school. We exploit a change in school choice that occurred in Oslo county in 1997, where
school authorities altered policy from one based on catchment zones to an open enrollment
policy that allowed pupils to apply to any high school. Our estimates show that parents
substantially value better performing schools because the sensitivity of housing valuations
to school performance falls significantly (by over 50 percent) following the school choice
reform that made the move to open enrollment.
Keywords: House prices; school choice reform; school quality
JEL classification:C21; I20; R21
I. Introduction
The way in which housing markets are affected by differences in local
school quality is an important economic and social phenomenon, and has
become a highly topical and politically charged issue. All over the world,
parents are concerned that they obtain the best education for their chil-
dren. Empirical evidence shows that parents are willing to pay significant
amounts of money to buy houses located in the catchment areas of better
performing schools.1
Also Research Director, Centre for Economic Performance, London School of Economics.
We would like to thank Sandy Black, Steve Gibbons, Caroline Hoxby, Sandra McNally,
Olmo Silva, two anonymous referees, and numerous seminar and conference participants for
some very helpful comments. We also thank Roger Bivand for his great help in producing
the figures.
1See the literature reviews of Black and Machin (2011), Gibbons and Machin (2008), and
Machin (2011).
CThe editors of The Scandinavian Journal of Economics 2015.
4Valuing school quality via a school choice reform
Many papers in the research literature on valuing school quality show
that there are sizable and significant housing capitalizations linked to school
quality (as typically measured by test scores). However, an ongoing issue
in this literature concerns the means by which the impact of school quality
on housing valuations is identified. This is pertinent because the main
empirical challenge is to ensure that results capture only the portion of
housing expenditures affected by variations in school quality, and not due to
other (observed and unobserved) housing characteristics or local amenities.
Early work tried to net out these correlated effects by conditioning on a
range of observables. More recent work has tried to deal more effectively
with the unobserved aspects. One strand models variations in house prices
across school catchment area boundaries in an attempt to net out unob-
served heterogeneity that could contaminate any house price–school quality
relation seen in the data.2Others have adopted a quasi-experimental ap-
proach based on the redrawing of catchment area boundaries.3Yet another
strand adopts a more structural approach, borrowing from the industrial
organization and consumer demand literatures, and sometimes combining
with the boundaries approach (see, for example, Bayer et al., 2007).
Despite these advances in methodology, there remain concerns and wor-
ries. For example, some critics argue that administrative boundaries are
endogenous to housing prices, possibly because of differential growth over
time or because they have differing institutional features (e.g., in the US,
local property taxes might differ on either side of the boundary). Simi-
larly, quasi-experimental variations based on redrawing boundaries are also
likely to be endogenous to school quality and/or house prices (i.e., there
are correlated reasons as to why the boundaries were redrawn).
In this paper, we adopt a different approach to causally identify the
relationship between house prices and school quality. We also base our
approach on a quasi-experiment, but one that is very different to almost
all of those considered to date.4We implement a research design based
on a school admissions reform. The reform increased pupil choice to high
schools by allowing mobility across catchment area boundaries that was
2There are by now quite a few boundary discontinuity papers. See, inter alia, the early papers
by Bogart and Cromwell (1997) and Black (1999), and the more recent work combining the
boundary approach with other empirical methods by Gibbons and Machin (2003), Gibbons
et al. (2013), and Bayer et al. (2007).
3In the context of a loss of neighborhood schools and re-districting in Cleveland, Bogart and
Cromwell (2000) adopt a quasi-experimental approach based upon the redrawing of catchment
area boundaries. Ries and Somerville (2010) also treat a redrawing of school catchment zones
in Vancouver in September 2001 (approved in January 2001) as an experiment that they claim
exogenously induces changes in school quality, which in turn can affect housing valuations.
4However, see Reback (2005) for closely related work relying on the diminished importance
of catchment area boundaries.
CThe editors of The Scandinavian Journal of Economics 2015.

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