2017
DOI: 10.1108/jerer-09-2016-0035
|View full text |Cite
|
Sign up to set email alerts
|

The effect of school performance on property values: a literature review and a case study

Abstract: Purpose This paper, a pioneering one in the Israeli context, aims to augment the research literature on school quality and housing prices by examining the effect of primary-school performance on local property values. It focuses on the main question whether the release of students’ test scores offered households a new source of information with which they could evaluate the quality of schools, thereby affecting local housing markets. Design/methodology/approach Several models that examine a variety of transa… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 6 publications
(1 citation statement)
references
References 44 publications
(71 reference statements)
0
1
0
Order By: Relevance
“…There is a growing number of research that models and predicts residential property values using its attributes. Information gleaned from the literature indicates that the features influencing property values include the number of bedrooms, bathrooms, parking space, proximity of green parks and academic performance of students in state schools, among others (Crompton, 2001; Abidoye and Chan, 2017; Fleishman et al , 2017). Table 1 provides a concise overview of the variables incorporated into models for the prediction of property values.…”
Section: Literature Reviewmentioning
confidence: 99%
“…There is a growing number of research that models and predicts residential property values using its attributes. Information gleaned from the literature indicates that the features influencing property values include the number of bedrooms, bathrooms, parking space, proximity of green parks and academic performance of students in state schools, among others (Crompton, 2001; Abidoye and Chan, 2017; Fleishman et al , 2017). Table 1 provides a concise overview of the variables incorporated into models for the prediction of property values.…”
Section: Literature Reviewmentioning
confidence: 99%