05531nam 22009013 450 991059826440332120241230084506.0(CKB)4920000000812363(oapen)https://directory.doabooks.org/handle/20.500.12854/83118(MiAaPQ)EBC31860546(Au-PeEL)EBL31860546(oapen)doab82435(oapen)doab82290(oapen)doab83027(oapen)doab92352(oapen)doab92240(oapen)doab92479(oapen)doab83551(EXLCZ)99492000000081236320241230d2021 uy 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierASA 2021 Statistics and Information Systems for Policy Evaluation BOOK of SHORT PAPERS of the on-Site Conference1st ed.FlorenceFirenze University Press2021Florence :Firenze University Press,2021.©2021.1 electronic resource (6 p.)Proceedings e report9788855184618 885518461X The paper describes an exercise of classification of a subset of five-digit categories of the 2007 ATECO classification system of economic activities. The analysis is grounded on the hypothesis that economic sectors can be clustered according to the competency level required to human resources recently working in industries or services in Italy. The analysis may be useful to evaluate a possible relationship between economic development and education. The analysis consisted of a mapping and then a clustering of the Ateco categories according to the between-distribution dissimilarity of any possible couple of categories. The basic idea was to highlight the Ateco categories that require either more education than others or more education and working experience (human capital) than others, pinpointing, in particular, the categories that require larger percentages of tertiary education and those residing close to territorial hubs. The competency level was measured with a combination of educational attainment and in-service experience of Italian employees, as defined by Istat, the Italian statistical institute. The employees’ educational level was evaluated with the frequency distribution of five (ordinal) classes of education of people employed in 2018 and 2019 in both private and public establishments and offices; the working experience with a logarithmic transform of the average number of in-service years of employees. The analysis highlighted both a sort of input-related classification of the economy and a supply-side classification of the labour market. The results are in line with the theory of the existence of a cluster of creative companies residing close to territorial hubs.Proceedings e ReportChapter Assessment of agricultural productivity change at country levelChapter Sizing & Allocation in Labour MarketChapter Reducing inconsistency in AHP by combining Delphi and Nudge theory and network analysis of the judgementsChapter Prediction of wine sensorial qualityChapter Determinants of the transition to upper secondary schoolChapter Motivation of basketball playersChapter Sustainable InnovationChapter Gender and Information and Communication Technologies interestChapter Patient-generated evidence in Epidermolysis Bullosa Chapter Unsupervised spatial data mining for the development of future scenariosChapter The role of the extra-man play actions in elite water polo matchesChapter Clustering students according to their proficiencyChapter Development of an innovative methodology to define patient-designed quality of lifeChapter Media and fake newsChapter Emergency remote teachingChapter The effectiveness of marketing tools in a consumer goods market in Italy during the Great Recession Chapter Understanding the sensory characteristics of edible insects to promote entomophagyChapter Measuring the effectiveness of COVID-19 containment policies in Italian regionsChapter Linear regression pathmox segmentation treeChapter Tourism of Italians in Italy through crisis and developmentChapter The top candidate is an intermediate oneChapter Big data analysis and labour marketChapter Unemployment dynamics in ItalyChapter Total Process Error frameworkASA 2021 statistics and information systems for policy evaluation Social research & statisticsbicsscCategory MappingAteco 2007Clustering economic categoriesHuman capitalCreative companiesSocial research & statisticsBertaccini Bruno434293Fabbris Luigi438107Petrucci Alessandra442750MiAaPQMiAaPQMiAaPQBOOK9910598264403321ASA 2021 Statistics and Information Systems for Policy Evaluation4305219UNINA