{"title":"Labour Market Areas and cluster subdivision for Spain 2011","authors":"Lucas Martínez‐Bernabéu, J. M. Casado-Díaz","doi":"10.18335/region.v9i1.432","DOIUrl":null,"url":null,"abstract":"Labour market areas (LMAs) are a type of functional areas that provides the appropriate framework for spatially-explicit analyses of the labour market to guide policymaking in this field. This resource presents a data base with the most recent definition of LMAs for Spain using a state-of-the-art methodology. All defined LMAs are highly self-contained in terms of travel-to-work flows and exceed a minimum size compatible with the usual requirements in terms of confidentiality and representativeness, allowing the recoding of microdata geographic referencing and therefore a much greater granularity compared to what is usual for this type of data. It can be downloaded from https://rua.ua.es/dspace/handle/10045/121236.","PeriodicalId":43257,"journal":{"name":"Baltic Region","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2022-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Baltic Region","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18335/region.v9i1.432","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AREA STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
Labour market areas (LMAs) are a type of functional areas that provides the appropriate framework for spatially-explicit analyses of the labour market to guide policymaking in this field. This resource presents a data base with the most recent definition of LMAs for Spain using a state-of-the-art methodology. All defined LMAs are highly self-contained in terms of travel-to-work flows and exceed a minimum size compatible with the usual requirements in terms of confidentiality and representativeness, allowing the recoding of microdata geographic referencing and therefore a much greater granularity compared to what is usual for this type of data. It can be downloaded from https://rua.ua.es/dspace/handle/10045/121236.