ERC grant for research on labour market inequality

Dimitris Pavlopoulos, assistant professor in sociology, has been awarded a Consolidator Grant by the European Research Council. His research concentrates on studying the careers of workers with non-standard employment contracts. Pavlopoulos sees the grant as an unique opportunity to expand his research. “The time to do research at universities is limited and it is practically impossible to explore new research frontiers with officially thirty percent research time and no regular funding for PhD projects. Therefore, the ERC grant is crucial in this respect.”

12/02/2019 | 2:23 PM

Pavlopoulos states that our image on how non-standard employement shapes labour market inequalities is incomplete and somehow wrong. “At the moment, we are happy if we observe many people working with a permanent contract or moving from a non-standard job to a job with a permanent contract. However, if we just focus on a single event in the career, for example if we a shift from a non-standard job to a job with a permanent contract, we miss the fact that many jobs with permanent contracts are bad jobs, while and but also that some jobs with non-standard contracts are not bad at all. Therefore, we need to stop looking at single events and study careers as a whole.”

The research project will concentrate on looking at the individual, organisational and institutional determinants of careers and will focus on two different life stages: younger and older workers. “We will focus on three countries with different labour market characteristics and rules concerning non-standard employment: the Netherlands, Norway and Italy. These countries are also different in how they reacted to the Great Recession of 2009-2011. We will work together with the National Statistical Institutes of the 3 counties (CBS, ISTAT and SSB) to construct, link and analyse survey and register data with labour market information. Project members will spend part of their appointment in Norway and Italy.”

The project will start in the second half of 2020. It will begin by developing the statistical method for measurement error correction and then will proceed in applying the method for the study of the careers of younger and older workers. The first results on the statistical method will be produced at the end of 2020, while the first results on the substantial part of the project at the end of 2021.