Bordering the area of spatial relevance for schools: a stochastic network approach using the example of Hamburg, Germany
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 tra...
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| Format: | Article |
| Language: | English |
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Société Royale Belge de Géographie and the Belgian National Committee of Geography
2017-06-01
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| Series: | Belgeo |
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| Online Access: | https://journals.openedition.org/belgeo/20332 |
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| _version_ | 1850147766900097024 |
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| author | Sebastian Leist Marcus Pietsch |
| author_facet | Sebastian Leist Marcus Pietsch |
| author_sort | Sebastian Leist |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-ce600e8e4e6149498d5e645c9c43d538 |
| institution | OA Journals |
| issn | 1377-2368 2294-9135 |
| language | English |
| publishDate | 2017-06-01 |
| publisher | Société Royale Belge de Géographie and the Belgian National Committee of Geography |
| record_format | Article |
| series | Belgeo |
| spelling | doaj-art-ce600e8e4e6149498d5e645c9c43d5382025-08-20T02:27:28ZengSociété Royale Belge de Géographie and the Belgian National Committee of GeographyBelgeo1377-23682294-91352017-06-01210.4000/belgeo.20332Bordering the area of spatial relevance for schools: a stochastic network approach using the example of Hamburg, GermanySebastian LeistMarcus PietschMost 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.https://journals.openedition.org/belgeo/20332competitionsegregationgeography of educationschool marketstochastic network analysis |
| spellingShingle | Sebastian Leist Marcus Pietsch Bordering the area of spatial relevance for schools: a stochastic network approach using the example of Hamburg, Germany Belgeo competition segregation geography of education school market stochastic network analysis |
| title | Bordering the area of spatial relevance for schools: a stochastic network approach using the example of Hamburg, Germany |
| title_full | Bordering the area of spatial relevance for schools: a stochastic network approach using the example of Hamburg, Germany |
| title_fullStr | Bordering the area of spatial relevance for schools: a stochastic network approach using the example of Hamburg, Germany |
| title_full_unstemmed | Bordering the area of spatial relevance for schools: a stochastic network approach using the example of Hamburg, Germany |
| title_short | Bordering the area of spatial relevance for schools: a stochastic network approach using the example of Hamburg, Germany |
| title_sort | bordering the area of spatial relevance for schools a stochastic network approach using the example of hamburg germany |
| topic | competition segregation geography of education school market stochastic network analysis |
| url | https://journals.openedition.org/belgeo/20332 |
| work_keys_str_mv | AT sebastianleist borderingtheareaofspatialrelevanceforschoolsastochasticnetworkapproachusingtheexampleofhamburggermany AT marcuspietsch borderingtheareaofspatialrelevanceforschoolsastochasticnetworkapproachusingtheexampleofhamburggermany |