{"title":"Explaining employment sector choices of doctoral graduates in Germany","authors":"Lea Goldan, Steffen Jaksztat, C. Gross","doi":"10.1093/reseval/rvac030","DOIUrl":null,"url":null,"abstract":"\n Previous research in different national contexts has shown that individual preferences for certain job attributes, objective labour market conditions, subjective career prospects, and external encouragement shape doctoral graduates’ career decisions. For Germany, where the number of awarded doctoral degrees is highest within the European Union and where no established academic tenure-track system exists, the determinants of doctoral graduates’ sector choices are still largely unexplored. This article aims to shed light on the determinants of sector choices of doctoral graduates in Germany. By deriving the determinants from the wide version of rational choice theory and by measuring the determinants prior to employment sectors, we overcome the conceptual and methodological limitations of previous research. Using data from a nationally representative panel survey with doctoral graduates of the 2014 cohort in Germany, we differentiate between five distinct employment sectors and carry out multinomial logistic regression analysis. As expected, and in line with previous research from other countries, the results confirm that the sector choices of doctoral graduates in Germany depend on their preferences as well as various objective and subjective constraints. The article helps to better understand how doctoral graduates select into different employment sectors and thus provides important insights into postdoctoral career trajectories.","PeriodicalId":47668,"journal":{"name":"Research Evaluation","volume":" ","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research Evaluation","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1093/reseval/rvac030","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 1
Abstract
Previous research in different national contexts has shown that individual preferences for certain job attributes, objective labour market conditions, subjective career prospects, and external encouragement shape doctoral graduates’ career decisions. For Germany, where the number of awarded doctoral degrees is highest within the European Union and where no established academic tenure-track system exists, the determinants of doctoral graduates’ sector choices are still largely unexplored. This article aims to shed light on the determinants of sector choices of doctoral graduates in Germany. By deriving the determinants from the wide version of rational choice theory and by measuring the determinants prior to employment sectors, we overcome the conceptual and methodological limitations of previous research. Using data from a nationally representative panel survey with doctoral graduates of the 2014 cohort in Germany, we differentiate between five distinct employment sectors and carry out multinomial logistic regression analysis. As expected, and in line with previous research from other countries, the results confirm that the sector choices of doctoral graduates in Germany depend on their preferences as well as various objective and subjective constraints. The article helps to better understand how doctoral graduates select into different employment sectors and thus provides important insights into postdoctoral career trajectories.
期刊介绍:
Research Evaluation is a peer-reviewed, international journal. It ranges from the individual research project up to inter-country comparisons of research performance. Research projects, researchers, research centres, and the types of research output are all relevant. It includes public and private sectors, natural and social sciences. The term "evaluation" applies to all stages from priorities and proposals, through the monitoring of on-going projects and programmes, to the use of the results of research.