Bordering the Area of Spatial Relevance for Schools: A stochastic Network Approach using the Example of Hamburg, Germany
Publikation: Beiträge in Zeitschriften › Übersichtsarbeiten › Forschung
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in: Belgeo - Revue Belge de Géographie, Jahrgang 2017, Nr. 2-3, 30.09.2017.
Publikation: Beiträge in Zeitschriften › Übersichtsarbeiten › Forschung
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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 -