Bordering the Area of Spatial Relevance for Schools: A stochastic Network Approach using the Example of Hamburg, Germany

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Bordering the Area of Spatial Relevance for Schools: A stochastic Network Approach using the Example of Hamburg, Germany. / Leist, Sebastian; Pietsch, Marcus.
In: Belgeo - Revue Belge de Géographie, Vol. 2017, No. 2-3, 30.09.2017.

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@article{75fea145042a4fa8a6a77f3774f97b37,
title = "Bordering the Area of Spatial Relevance for Schools: A stochastic Network Approach using the Example of Hamburg, Germany",
abstract = "Most approaches to spatial definitions of schooling markets are based on assumptions which may cause incorrect estimates. This paper presents stochastic network analysis as an alternative approach. Based upon individual student data of the metropolis Hamburg, the results are compared to those of traditional approaches. First, this article gives a short introduction to the current setting of Germany's educational system, the national efforts for school improvement and the relevance of an adequate spatial definition of a market in this context. Subsequently, the applied method and the essential data structure are described. Following the identification of local and regional schooling markets in Hamburg by applying stochastic network analysis, the authors quantify meso- and small-scale competition amongst schools involved in the transition of students from primary to secondary schools in context of social composition.",
keywords = "Empirical education research, competition, geography of education, school market, segregation, stochastic network analysis, Bildungsgeographie, Schulmarkt, Segregation, stochastische Netzwerkanalyse, Wettbewerb, Educational science, Sociology",
author = "Sebastian Leist and Marcus Pietsch",
year = "2017",
month = sep,
day = "30",
doi = "10.4000/belgeo.20332",
language = "English",
volume = "2017",
journal = "Belgeo - Revue Belge de G{\'e}ographie",
issn = "1377-2368",
publisher = "Societe Royale Belge De Geographie",
number = "2-3",

}

RIS

TY - JOUR

T1 - Bordering the Area of Spatial Relevance for Schools

T2 - A stochastic Network Approach using the Example of Hamburg, Germany

AU - Leist, Sebastian

AU - Pietsch, Marcus

PY - 2017/9/30

Y1 - 2017/9/30

N2 - Most approaches to spatial definitions of schooling markets are based on assumptions which may cause incorrect estimates. This paper presents stochastic network analysis as an alternative approach. Based upon individual student data of the metropolis Hamburg, the results are compared to those of traditional approaches. First, this article gives a short introduction to the current setting of Germany's educational system, the national efforts for school improvement and the relevance of an adequate spatial definition of a market in this context. Subsequently, the applied method and the essential data structure are described. Following the identification of local and regional schooling markets in Hamburg by applying stochastic network analysis, the authors quantify meso- and small-scale competition amongst schools involved in the transition of students from primary to secondary schools in context of social composition.

AB - Most approaches to spatial definitions of schooling markets are based on assumptions which may cause incorrect estimates. This paper presents stochastic network analysis as an alternative approach. Based upon individual student data of the metropolis Hamburg, the results are compared to those of traditional approaches. First, this article gives a short introduction to the current setting of Germany's educational system, the national efforts for school improvement and the relevance of an adequate spatial definition of a market in this context. Subsequently, the applied method and the essential data structure are described. Following the identification of local and regional schooling markets in Hamburg by applying stochastic network analysis, the authors quantify meso- and small-scale competition amongst schools involved in the transition of students from primary to secondary schools in context of social composition.

KW - Empirical education research

KW - competition

KW - geography of education

KW - school market

KW - segregation

KW - stochastic network analysis

KW - Bildungsgeographie

KW - Schulmarkt

KW - Segregation

KW - stochastische Netzwerkanalyse

KW - Wettbewerb

KW - Educational science

KW - Sociology

UR - http://www.scopus.com/inward/record.url?scp=85035790456&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/09f4f6c4-f0b3-3416-8369-de192969d135/

U2 - 10.4000/belgeo.20332

DO - 10.4000/belgeo.20332

M3 - Scientific review articles

VL - 2017

JO - Belgeo - Revue Belge de Géographie

JF - Belgeo - Revue Belge de Géographie

SN - 1377-2368

IS - 2-3

ER -

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