Bernd Fitzenberger , Anna Heusler , Anna Houštecká , Leonie Wicht
{"title":"德国职业技术培训市场的申请人构成、不匹配和匹配效率","authors":"Bernd Fitzenberger , Anna Heusler , Anna Houštecká , Leonie Wicht","doi":"10.1016/j.labeco.2025.102755","DOIUrl":null,"url":null,"abstract":"<div><div>Entries into firm-based vocational education and training (VET) stagnated in Germany during the 2010s and decreased by 11% between 2019 and 2020, which is likely to exacerbate future shortages of skilled workers. Against this backdrop, we study the VET market through the lens of a matching function estimated at the occupation by district level between 2013 and 2021. We employ a novel strategy to instrument for applicants and vacancies which draws on differences in local labor market conditions for different occupations. Our estimated matching elasticities for applicants and vacancies are 0.46 and 0.57, respectively. Matching efficiency shows a slight downward trend before Covid and a large drop during Covid. Using our estimates to decompose aggregate trends in matches, we find that while matching efficiency and applicants drove matches down before Covid, the increase in vacancies until 2019 stabilized the VET market. During Covid, the drop in applicants, vacancies, and matching efficiency contributed similarly to the sudden drop of matches. Furthermore, without the increase in migrants applying to VET positions, demographic change alone would have led to an even greater decline in matches already before Covid. Changes in occupational and regional mismatch did little in explaining the overall trend in matches.</div></div>","PeriodicalId":48153,"journal":{"name":"Labour Economics","volume":"95 ","pages":"Article 102755"},"PeriodicalIF":2.6000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The composition of applicants, mismatch, and matching efficiency in the German VET market\",\"authors\":\"Bernd Fitzenberger , Anna Heusler , Anna Houštecká , Leonie Wicht\",\"doi\":\"10.1016/j.labeco.2025.102755\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Entries into firm-based vocational education and training (VET) stagnated in Germany during the 2010s and decreased by 11% between 2019 and 2020, which is likely to exacerbate future shortages of skilled workers. Against this backdrop, we study the VET market through the lens of a matching function estimated at the occupation by district level between 2013 and 2021. We employ a novel strategy to instrument for applicants and vacancies which draws on differences in local labor market conditions for different occupations. Our estimated matching elasticities for applicants and vacancies are 0.46 and 0.57, respectively. Matching efficiency shows a slight downward trend before Covid and a large drop during Covid. Using our estimates to decompose aggregate trends in matches, we find that while matching efficiency and applicants drove matches down before Covid, the increase in vacancies until 2019 stabilized the VET market. During Covid, the drop in applicants, vacancies, and matching efficiency contributed similarly to the sudden drop of matches. Furthermore, without the increase in migrants applying to VET positions, demographic change alone would have led to an even greater decline in matches already before Covid. Changes in occupational and regional mismatch did little in explaining the overall trend in matches.</div></div>\",\"PeriodicalId\":48153,\"journal\":{\"name\":\"Labour Economics\",\"volume\":\"95 \",\"pages\":\"Article 102755\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Labour Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S092753712500079X\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Labour Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S092753712500079X","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
The composition of applicants, mismatch, and matching efficiency in the German VET market
Entries into firm-based vocational education and training (VET) stagnated in Germany during the 2010s and decreased by 11% between 2019 and 2020, which is likely to exacerbate future shortages of skilled workers. Against this backdrop, we study the VET market through the lens of a matching function estimated at the occupation by district level between 2013 and 2021. We employ a novel strategy to instrument for applicants and vacancies which draws on differences in local labor market conditions for different occupations. Our estimated matching elasticities for applicants and vacancies are 0.46 and 0.57, respectively. Matching efficiency shows a slight downward trend before Covid and a large drop during Covid. Using our estimates to decompose aggregate trends in matches, we find that while matching efficiency and applicants drove matches down before Covid, the increase in vacancies until 2019 stabilized the VET market. During Covid, the drop in applicants, vacancies, and matching efficiency contributed similarly to the sudden drop of matches. Furthermore, without the increase in migrants applying to VET positions, demographic change alone would have led to an even greater decline in matches already before Covid. Changes in occupational and regional mismatch did little in explaining the overall trend in matches.
期刊介绍:
Labour Economics is devoted to publishing research in the field of labour economics both on the microeconomic and on the macroeconomic level, in a balanced mix of theory, empirical testing and policy applications. It gives due recognition to analysis and explanation of institutional arrangements of national labour markets and the impact of these institutions on labour market outcomes.