Geocoding of German Administrative Data

[EN] Wherever we choose to move, we often find ourselves living close to people with similar social status, income or ethnicity. While many mechanisms have already been proposed to explain the driving factors of segregation, including the willingness to pay for local amenities, a preference for ethn...

Descripción completa

Detalles Bibliográficos
Autores: vom Berge, Philipp, Wurdack, Anja
Tipo de recurso: capítulo de libro
Fecha de publicación:2016
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/95625
Acceso en línea:https://riunet.upv.es/handle/10251/95625
Access Level:acceso abierto
Palabra clave:web data
internet data
big data
qca
pls
sem
conference
id ES_1d19517647e426062dda298068a919c2
oai_identifier_str oai:riunet.upv.es:10251/95625
network_acronym_str ES
network_name_str España
repository_id_str
spelling Geocoding of German Administrative Datavom Berge, PhilippWurdack, Anjaweb datainternet databig dataqcaplssemconference[EN] Wherever we choose to move, we often find ourselves living close to people with similar social status, income or ethnicity. While many mechanisms have already been proposed to explain the driving factors of segregation, including the willingness to pay for local amenities, a preference for ethnical homogeneity, or the spatial distribution of jobs there is still missing an unified empirical framework to assess the relative importance of these mechanisms. Improvements in urban research requires data at a very granular spatial resoultion. We use geo-tagged administrative micro data to obtain more insights into urban research and develop an empirical framework to measure urban segregation. Our analysis is based on the Integrated Employment Biographies (IEB) from the Institute of Employment Research (IAB). The data excerpt used here is restricted to all main records effective on June 30th 2009. We identified the primary notification for the observation period and restrict our analysis to this. This subset of data has been linked to geocoded address material from the Federal Agency for Cartography and Geodesy (GAB) by a deterministic linkage. The individual data have been aggregated into grid cells with an edge length of 500 meters. The median daily wage has been calculated within each grid cell as well as the percentage of employees earning below several low-earning thresholds, including 2/3 of the national median gross daily wage, 2/3 of the city-specific median gross daily wage. The data from grid cells were used to produce various city-wide segregation indexes. This allows consistent comparisons of segregation in a larger cross-section of cities for the first time. We visually demonstrate the potential of our approach comparing segregation patterns in the the three largest cities in Germany. We find substantial variation across cities in both the spatial pattern of sorting and the extent of separation between social groups. This variation can be used to analyze social segregation and its relations to the local economical and demographical characteristics as well as to help city governments to reduce inequality.Editorial Universitat Politècnica de ValènciaRepositorio Institucional de la Universitat Politècnica de València Riunet20162016-10-10book parthttp://purl.org/coar/resource_type/c_3248VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/bookPartapplication/pdfhttps://riunet.upv.es/handle/10251/95625reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/956252026-06-13T07:49:27Z
dc.title.none.fl_str_mv Geocoding of German Administrative Data
title Geocoding of German Administrative Data
spellingShingle Geocoding of German Administrative Data
vom Berge, Philipp
web data
internet data
big data
qca
pls
sem
conference
title_short Geocoding of German Administrative Data
title_full Geocoding of German Administrative Data
title_fullStr Geocoding of German Administrative Data
title_full_unstemmed Geocoding of German Administrative Data
title_sort Geocoding of German Administrative Data
dc.creator.none.fl_str_mv vom Berge, Philipp
Wurdack, Anja
author vom Berge, Philipp
author_facet vom Berge, Philipp
Wurdack, Anja
author_role author
author2 Wurdack, Anja
author2_role author
dc.contributor.none.fl_str_mv Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv web data
internet data
big data
qca
pls
sem
conference
topic web data
internet data
big data
qca
pls
sem
conference
description [EN] Wherever we choose to move, we often find ourselves living close to people with similar social status, income or ethnicity. While many mechanisms have already been proposed to explain the driving factors of segregation, including the willingness to pay for local amenities, a preference for ethnical homogeneity, or the spatial distribution of jobs there is still missing an unified empirical framework to assess the relative importance of these mechanisms. Improvements in urban research requires data at a very granular spatial resoultion. We use geo-tagged administrative micro data to obtain more insights into urban research and develop an empirical framework to measure urban segregation. Our analysis is based on the Integrated Employment Biographies (IEB) from the Institute of Employment Research (IAB). The data excerpt used here is restricted to all main records effective on June 30th 2009. We identified the primary notification for the observation period and restrict our analysis to this. This subset of data has been linked to geocoded address material from the Federal Agency for Cartography and Geodesy (GAB) by a deterministic linkage. The individual data have been aggregated into grid cells with an edge length of 500 meters. The median daily wage has been calculated within each grid cell as well as the percentage of employees earning below several low-earning thresholds, including 2/3 of the national median gross daily wage, 2/3 of the city-specific median gross daily wage. The data from grid cells were used to produce various city-wide segregation indexes. This allows consistent comparisons of segregation in a larger cross-section of cities for the first time. We visually demonstrate the potential of our approach comparing segregation patterns in the the three largest cities in Germany. We find substantial variation across cities in both the spatial pattern of sorting and the extent of separation between social groups. This variation can be used to analyze social segregation and its relations to the local economical and demographical characteristics as well as to help city governments to reduce inequality.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-10-10
dc.type.none.fl_str_mv book part
http://purl.org/coar/resource_type/c_3248
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/95625
url https://riunet.upv.es/handle/10251/95625
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editorial Universitat Politècnica de València
publisher.none.fl_str_mv Editorial Universitat Politècnica de València
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869404261260984320
score 15,301629

Similares en LA Referencia