Methodological approaches to profiling and modelling disadvantaged employment pathways. An application to employment trajectories in Australia

TitleMethodological approaches to profiling and modelling disadvantaged employment pathways. An application to employment trajectories in Australia
Publication TypeBook Chapter
Year of Publication2016
AuthorsBolano, D, Haynes, M
Book TitleProceedings of the International Conference on Sequence Analysis and Related Methods (LaCOSA II)
Pagination851-862
PublisherNCCR-LIVES
Place PublishedLausanne, Switzerland
Abstract

This paper investigates the employment pathways of men and women in Australia and profiles the characteristics of individuals who are at risk of disadvantage defined by unstable employment histories and frequent transitions into unemployment. The paper focuses on the transitions of respondents, aged 15-64 years, between different employment states over a span of 13 years (2001-2013) using panel data from the Household, Income and Labour Dynamics in Australia survey. To describe employment trajectories and to analyse the likelihood of transition from one employment state to another, we will rely on sequence analysis and two probabilistic models that might account for state dependence: dynamic multinomial logit random effects models and Markov models. Sequence analysis was used to identify typology of employment pathways and the associated sociodemographic characteristics and intergenerational links. The preliminary results confirm the presence of gender differences in employment. Women are more likely to be employed part time or not in the labour force while men are more likely to experience stable employment trajectories of full time work. Women also experience a slightly higher proportion of employment transitions. Among the sociodemographic and background factors considered, mature age workers, those with health problems and less educated parents, in particular father-son and mother-daughter links, are mainly at risk of experiencing unstable employment pathways

URLhttps://lacosa.lives-nccr.ch/sites/lacosa.lives-nccr.ch/files/lacosa2-proceedings.pdf
Refereed DesignationRefereed