2003
DOI: 10.1016/s0094-1190(02)00516-8
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Valuing English primary schools

Abstract: This paper provides the first empirical evidence for the UK on the effect of primary school performance on property prices. We find that, on average, a one percentage point increase in the neighbourhood-proportion of children reaching the target grade pushes up neighbourhood property prices by 0.67%. At 2000 property prices, we calculate the social valuation of a sustained 1% improvement in primary school performance to be up to £90 per child per year. Our IV and semiparametric approach avoids the problems of … Show more

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Cited by 247 publications
(201 citation statements)
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“…From these data we derive the altitude, slope angle, and aspect of the house postcode. Aspect is categorised into four directions, North ( Machin, 2003, andSilva, 2012), so we include variables for the effectiveness of the nearest school in raising pupil achievement (mean age 7-11 gains in test scores or 'value-added'), distance to the nearest school, and interactions between these variables. Summary statistics for housing transactions in relation to topography, schools, accessibility and other control variables are also contained in Table 1.…”
Section: Control Variablesmentioning
confidence: 99%
“…From these data we derive the altitude, slope angle, and aspect of the house postcode. Aspect is categorised into four directions, North ( Machin, 2003, andSilva, 2012), so we include variables for the effectiveness of the nearest school in raising pupil achievement (mean age 7-11 gains in test scores or 'value-added'), distance to the nearest school, and interactions between these variables. Summary statistics for housing transactions in relation to topography, schools, accessibility and other control variables are also contained in Table 1.…”
Section: Control Variablesmentioning
confidence: 99%
“…7 Gibbons and Machin (2003) avoid this issue to some extent by using a distance-weighted smoothing function to control for spatial effects prior to estimation. This approach allows them greater flexibility in the modeling of spatial effects, though it still requires assumptions with regard to the choice of smoothing function and its parameters.…”
Section: Econometric Modelmentioning
confidence: 99%
“…At the same time, there is considerable empirical evidence that buyers have also been found to value a residential property located within close proximity to public transport (Mulley, 2014;Dziauddin et al, 2014;Hess and Almeida, 2006), schools (Gibbons and Machin, 2003;Mitchell, 2000), woodlands/urban forests (Powe et al, 1997;Tyrvainen, 1997), green spaces (Vandergrift and Lahr, 2011), lakes (Crompton, 2001), stadiums/sport facilities (Ahlfeldt and Kavetsos, 2014;Ahlfeldt and Maennig, 2008) and historically significant buildings (Lazrak et al, 2014). The empirical evidence also indicates that buyers prefer a residential property that is located away from noise generated by road traffic.…”
Section: Prior Empirical Findingsmentioning
confidence: 99%