The Impact of School District on Housing Prices: Based on an Evolutionary Game Model

DOI

10.2991/meici-18.2018.197How to use a DOI?

Keywords

School-district factor; Housing prices; Price penalty coefficient; Evolutionary Game

Abstract

This paper focuses on the role that school district plays in the formation of housing prices. Under the nearby-admission policy and Hukou system, housing in a school district is equivalent to housing with admission-ticket function. For households who purchase school-district housing, it is the high-quality primary education that they essentially purchase. The value of school-district factor can be measured theoretically by the increasing part of students’ expected income resulting from the improvement of educational quality. But it is hard to exactly obtain. By using selection fees to substitute the increase part of expected income, I establish an evolutionary game model to describe the formation of school-district housing prices. A school-district housing price penalty coefficient and its algorithm are proposed. The coefficient can be used to compare the difference of the extents the school district impact on housing prices in different regions. And a practical example is illustrated. The paper makes contribution to two aspects: It adopts evolutionary game theory to study households’ behaviors and housing prices; It provides a feasible approach to analyzing a sole factor’s impact on housing prices.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chen Lin
PY  - 2018/12
DA  - 2018/12
TI  - The Impact of School District on Housing Prices: Based on an Evolutionary Game Model
BT  - Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018)
PB  - Atlantis Press
SP  - 980
EP  - 985
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-18.2018.197
DO  - 10.2991/meici-18.2018.197
ID  - Lin2018/12
ER  -