[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"page:what-we-do\u002Fpublications\u002F2018\u002Fskill-mismatch":3},{"id":4,"slug":5,"title":6,"short_title":7,"intro_text":8,"meta_description":9,"seo_title":10,"path":11,"content_type":12,"locale":13,"go_live_at":14,"first_published_at":15,"page_created_at":16,"published_at":14,"edit_url":17,"breadcrumbs":18,"seo":28,"body_blocks":36,"call_to_action":56,"categories":63,"show_page_categories":68,"owner":7,"authors":69,"show_related_pages":68,"related_pages":70,"related_sites":80,"in_subsite":81,"contact_page_url":82,"banner_message":83},21241,"skill-mismatch","Skill mismatch comparing educational requirements vs attainments by occupation",null,"","The paper aims to address the issue of skill mismatch being difficult to measure directly and the lack of demand-side data. Read the paper","Skill mismatch: educational requirements vs occupations","\u002Fwhat-we-do\u002Fpublications\u002F2018\u002Fskill-mismatch","pages.publicationpage","en","2018-12-26T14:41:00+00:00","2018-12-26T14:41:09.720000+00:00","2026-08-14T15:30:41.842567+00:00","\u002Fcms\u002Fpages\u002F21241\u002Fedit\u002F",[19,22,25,27],{"title":20,"slug":21},"What We Do","what-we-do",{"title":23,"slug":24},"Publications","publications",{"title":26,"slug":26},"2018",{"title":6,"slug":5},{"title":10,"description":9,"image":29,"canonical":30,"robots":31,"og_type":32,"twitter_card":33,"locale":13,"created_at":34,"last_modified_at":35},"https:\u002F\u002Fwageindicator.org\u002Fmedia\u002Fimages\u002FSocial_media_preview_image_-_2025.2e16d0ba.fill-1200x630.png","https:\u002F\u002Fwageindicator.org\u002Fwhat-we-do\u002Fpublications\u002F2018\u002Fskill-mismatch\u002F","index, follow","website","summary_large_image","2018-12-26T15:41:00+01:00","2026-08-14T17:30:41.958064+02:00",[37,42,53],{"type":38,"data":39},"text_block",{"content":40,"variant":41},"\u003Ch2>Abstract\u003C\u002Fh2>\u003Cp>Purpose – The purpose of this paper is to overcome the problems that skill mismatch cannot be measured directly and that demand side data are lacking. It relates demand and supply side characteristics by aggregating data from jobs ads and jobholders into occupations. For these occupations skill mismatch is investigated by focussing on demand and supply ratios, attained vis-à-vis required skills and vacancies’ skill requirements in relation to the demand-supply ratios.\u003C\u002Fp>\u003Cp>Design\u002Fmethodology\u002Fapproach – Vacancy data from the EURES job portal and jobholder data from WageIndicator web-survey were aggregated by ISCO 4-digit occupations and merged in a database with 279 occupations for Czech Republic, being the only European country with disaggregated occupational data, coded educational data, and sufficient numbers of observations.\u003C\u002Fp>\u003Cp>Findings – One fourth of occupations are in excessive demand and one third in excessive supply. The workforce is overeducated compared to the vacancies’ requirements. A high demand correlates with lower educational requirements. At lower occupational skill levels requirements are more condensed, but attainments less so. At higher skill levels, requirements are less condensed, but attainments more so. Educational requirements are lower for high demand occupations.\u003C\u002Fp>\u003Cp>Research limitations\u002Fimplications – Using educational levels is a limited proxy for multidimensional skills. Higher educated jobholders are overrepresented.\u003C\u002Fp>\u003Cp>Practical implications – In Europe labour market mismatches worry policy makers and Public Employment Services alike.\u003C\u002Fp>\u003Cp>Originality\u002Fvalue – The authors study is the first for Europe to explore such a granulated approach of skill mismatch.\u003C\u002Fp>\u003Cp>Keywords Occupations, Czech Republic, Adjustment strategies, Skill mismatch, Web survey, Educational attainments, Job requirements, Demand-supply ratio, Vacancies\u003C\u002Fp>","light",{"type":43,"data":44},"call_to_action_body_block",{"title":45,"description":46,"variant":47,"link":48},"Access the paper","This paper is only accessible through a payed-wall. Please find the link below.","dark",{"title":49,"url":50,"description":49,"rel":51,"type":52},"Read the paper","https:\u002F\u002Fwww.emeraldinsight.com\u002Fdoi\u002Ffull\u002F10.1108\u002FIJM-10-2018-0328","nofollow","external",{"type":38,"data":54},{"content":55,"variant":41},"\u003Cp>\u003Cb>Citation\u003C\u002Fb>\u003C\u002Fp>\u003Cul>\u003Cli>Tijdens, K.G., Beblavý, M., &amp; Thum-Thysen, A. (2018) Skill mismatch comparing educational requirements vs attainments by occupation, International Journal of Manpower, 39(8), 997-1009\u003C\u002Fli>\u003C\u002Ful>",{"text":57,"link":58},"Contact us",{"title":57,"url":59,"description":57,"rel":60,"type":61,"id":62},"\u002Fabout\u002Fcontact","follow","internal",24590,[64],{"id":65,"slug":66,"name":67},1,"salary","Salary",true,[],[71,75],{"id":72,"short_title":7,"title":73,"url":74},21009,"Skill mismatch among migrant workers -  evidence from a large multi-country dataset","\u002Fwhat-we-do\u002Fpublications\u002F2015\u002Fskill-mismatch-among-migrant-workers-evidence-from-a-large-multi-country-dataset",{"id":76,"short_title":7,"title":77,"url":78,"image":79},20754,"Index of Job Market Trends for Blue- and Grey-Collar Jobs in India","\u002Fwhat-we-do\u002Fprojects\u002Findia-workforce-index","https:\u002F\u002Fwageindicator.org\u002Fmedia\u002Fimages\u002Fmsdflogo-d41df9f3eae0.width-400.jpg",[],false,"\u002Fwork\u002Fliving-wages\u002Fcontact-us","\u003Cp>Welcome to WageIndicator. Same organisation, same information, new look!\u003C\u002Fp>"]