Delineating zones to increase geographical detail in individual response data files: An application to the Spanish 2011 Census of population
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http://hdl.handle.net/10045/56685
Títol: | Delineating zones to increase geographical detail in individual response data files: An application to the Spanish 2011 Census of population |
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Autors: | Martínez Bernabeu, Lucas | Casado-Díaz, José M. |
Grups d'investigació o GITE: | Territorio y Movilidad. Mercados de Trabajo y Vivienda |
Centre, Departament o Servei: | Universidad de Alicante. Departamento de Análisis Económico Aplicado | Universidad de Alicante. Instituto Interuniversitario de Economía Internacional |
Paraules clau: | Labour market areas | Census | Microdata | Regionalisation | Clustering | Evolutionary computation | Spain | Regional science | Regional economics |
Àrees de coneixement: | Economía Aplicada |
Data de publicació: | 8-de juliol-2016 |
Editor: | De Gruyter |
Citació bibliogràfica: | Moravian Geographical Reports. 2016, 24(2): 26-36. doi:10.1515/mgr-2016-0008 |
Resum: | Due to confidentiality considerations, the microdata available from the 2011 Spanish Census have been codified at a provincial (NUTS 3) level except when the municipal (LAU 2) population exceeds 20,000 inhabitants (a requirement that is met by less than 5% of all municipalities). For the remainder of the municipalities within a given province, information is only provided for their classification in wide population intervals. These limitations, hampering territorially-focused socio-economic analyses, and more specifically, those related to the labour market, are observed in many other countries. This article proposes and demonstrates an automatic procedure aimed at delineating a set of areas that meet such population requirements and that may be used to re-codify the geographic reference in these cases, thereby increasing the territorial detail at which individual information is available. The method aggregates municipalities into clusters based on the optimisation of a relevant objective function subject to a number of statistical constraints, and is implemented using evolutionary computation techniques. Clusters are defined to fit outer boundaries at the level of labour market areas. |
Patrocinadors: | This work was supported by the Spanish Ministry of Economy and Competitiveness (grant number CSO2014-55780-C3-2-P, National R&D&i Plan 2013-2016). |
URI: | http://hdl.handle.net/10045/56685 |
ISSN: | 1210-8812 | 2199-6202 (Online) |
DOI: | 10.1515/mgr-2016-0008 |
Idioma: | eng |
Tipus: | info:eu-repo/semantics/article |
Drets: | This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License |
Revisió científica: | si |
Versió de l'editor: | http://dx.doi.org/10.1515/mgr-2016-0008 |
Apareix a la col·lecció: | INV - TEYMO - Artículos de Revistas / Journal Articles |
Arxius per aquest ítem:
Arxiu | Descripció | Tamany | Format | |
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2016_Martinez_Casado_MoravianGeoRep.pdf | 3,12 MB | Adobe PDF | Obrir Vista prèvia | |
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