Occupations and survey research: methodological and substantive applications exploiting occupations as social contexts 1 |
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Convenor | Professor Christian Ebner (University of Cologne, Germany ) |
Coordinator 1 | Dr Daniela Rohrbach-schmidt (Federal Institute for Vocational Education and Training, Bonn, Germany) |
An individual's occupational experience provides one of several young adult contexts for socialization to society broadly and to specific political and economic beliefs. Occupation is often treated as an outcome variable and little attention has been paid to its socializing influence, especially during the first years after the completion of formal education. An assessment of its marginal influence is complex because of the prior and simultaneous influences of formal education and areas of concentration, family influences and values, and similar factors. This analysis will use longitudinal data from the U.S. to estimate the marginal influence of occupational socialization.
This project uses several cohorts of the Longitudinal Surveys of Australian Youth (LSAY) to focus on changes in the task profile of occupations that may have occurred between the late 1990s and today. We expect that the payoff (wages) of these occupations may have changed over time, as technology and/or off-shoring has modified the types of activities required within occupations and some occupations may have disappeared from the Australian labour market completely. We will present the results for the group of young people entering the labour market in their first full-time job after completing their education.
The aim of the presentation is to provide evidence that occupational closure determines the risk temporary employment. The presentation will first critically review conventional measures of occupational closure (e.g. credentialism). I introduce alternative measures of occupational closure – the credential saturation ratio and occupational specificity. Second: I present empirical evidence for the association between temporary employment and occupational closure using pooled-two-step multilevel analyses. Based on the full sample of the German Microcensus I am able to analyze detailed occupations. Third: I discuss possible methodological challenges researchers interested in occupations may encounter, when analyzing dichotomous dependent variables.
In order to use occupation-level data for explaining social phenomena, we need to understand a) what occupations are, b) what characteristics best describe them and c) how they develop over time. Analysing this development gives useful insights into social change: the state of the division of labour at points in time and the process of differentiation over time. This proposal uses cross-sectional data (BIBB/BAuA Employment Surveys and their precursors), aggregated at the occupational level, to examine social change in the shape of occupational change. Ways of defining and operationalising occupations and of handling and analysing this specific