Penelope Stamou, Elena Stringli, Glykeria Stamatopoulou, Dimitrios Parsanoglou, M. Symeonaki
{"title":"Combining Statistical and Rule-Based Expert Knowledge to Measure Employment Precarity","authors":"Penelope Stamou, Elena Stringli, Glykeria Stamatopoulou, Dimitrios Parsanoglou, M. Symeonaki","doi":"10.11159/icsta22.153","DOIUrl":null,"url":null,"abstract":"- The measurement of precarity and the identification of a set of indicators that can be used for its assessment has been established as a key issue in Europe, central to the entire discipline of labour statistics, social policy, and sociology of work. Most recent studies agree upon the basic characteristics that a worker should have to be considered as precarious: insecurity, vulnerability, and no or limited entitlements. The present paper offers an innovative method that combines statistical analysis regarding the measurement of nine key indicators that are linked with precarity to a lesser or greater extend, with a rule-based expert system to rate each worker’s precarity. Raw data are drawn from the EU-Labour Force Survey (EU-LFS) for the case of Greece. However, the suggested method can be applied with minor modifications to the remainder thirty-four participating in the EU-LFS countries since a common questionnaire is used for all countries. The estimated indicators refer to three domains that are linked with precarity: labour market conditions and job insecurity, limited entitlements, and insufficient resources. Having estimated a precarious score for each worker, the socio-demographic characteristics of precarious workers are identified, extracting valuable knowledge on their profile.","PeriodicalId":325859,"journal":{"name":"Proceedings of the 4th International Conference on Statistics: Theory and Applications","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 4th International Conference on Statistics: Theory and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11159/icsta22.153","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
- The measurement of precarity and the identification of a set of indicators that can be used for its assessment has been established as a key issue in Europe, central to the entire discipline of labour statistics, social policy, and sociology of work. Most recent studies agree upon the basic characteristics that a worker should have to be considered as precarious: insecurity, vulnerability, and no or limited entitlements. The present paper offers an innovative method that combines statistical analysis regarding the measurement of nine key indicators that are linked with precarity to a lesser or greater extend, with a rule-based expert system to rate each worker’s precarity. Raw data are drawn from the EU-Labour Force Survey (EU-LFS) for the case of Greece. However, the suggested method can be applied with minor modifications to the remainder thirty-four participating in the EU-LFS countries since a common questionnaire is used for all countries. The estimated indicators refer to three domains that are linked with precarity: labour market conditions and job insecurity, limited entitlements, and insufficient resources. Having estimated a precarious score for each worker, the socio-demographic characteristics of precarious workers are identified, extracting valuable knowledge on their profile.