Unwanted sexual advances at work: variations by employment arrangement in a sample of working Australians

Objective: We tested the hypothesis that the risk of experiencing unwanted sexual advances at work (UWSA) is greater for precariously-employed workers in comparison to those in permanent or continuing employment. Methods: A cross-sectional population-based telephone survey was conducted in Victoria (66% response rate, N=1,101). Employment arrangements were analysed using eight differentiated categories, as well as a four-category collapsed measure to address small cell sizes. Self-report of unwanted sexual advances at work was modelled using multiple logistic regression in relation to employment arrangement, controlling for gender, age, and occupational skill level. Results: Forty-seven respondents reported UWSA in our sample (4.3%), mainly among women (37 of 47). Risk of UWSA was higher for younger respondents, but did not vary significantly by occupational skill level or education. In comparison to Permanent Full-Time, three employment arrangements were strongly associated with UWSA after adjustment for age, gender, and occupational skill level: Casual Full-Time OR = 7.2 (95% Confidence Interval 1.7-30.2); Fixed-Term Contract OR = 11.4 (95% CI 3.4-38.8); and Own-Account Self-Employed OR = 3.8 (95% CI 1.2-11.7). In analyses of females only, the magnitude of these associations was further increased. Conclusions: Respondents employed in precarious arrangements were more likely to report being exposed to UWSA, even after adjustment for age and gender. Implications: Greater protections from UWSA are likely needed for precariously employed workers.

The effect of leaving employment on mental health: testing ‘adaptation’ versus ‘sensitisation’ in a cohort of working-age Australians

Objectives To investigate the ‘adaptation’ versus ‘sensitisation’ hypotheses in relation to mental health and labour market transitions out of employment to determine whether mental health stabilised (adaptation) or worsened (sensitisation) as people experienced one or more periods without work. Methods The Household Income and Labour Dynamics of Australia (HILDA) longitudinal survey was used to investigate the relationship between the number of times a person had been unemployed or had periods out of the labour force (ie, spells without work) and the Mental Component Summary (MCS) of the Short Form 36 (SF-36). Demographic, health and employment related confounders were included in a series of multilevel regression models. Results During 2001–2010, 3362 people shifted into unemployment and 1105 shifted from employment to not in the labour force. Compared with participants who did not shift, there was a 1.64-point decline (95% CI −2.05 to −1.23, p<0.001) in scores of the MCS SF-36 among those who had one spell of unemployment (excluding not in the labour force), and a 2.56-point decline (95% CI −3.93 to −1.19, p<0.001) among those who had two or more spells of unemployment after adjusting for other variables. Findings for shifts from employment to ‘not in the labour force’ were in the same direction; however, effect sizes were smaller. Conclusions These results indicate that multiple spells of unemployment are associated with continued, though small, declines in mental health. Those who leave employment for reasons other than unemployment experience a smaller reduction in mental health.

Does the UK minimum wage reduce employment? A meta-regression analysis

The employment effect from raising the minimum wage has long been studied but remains in dispute. Our meta-analysis of 236 estimated minimum wage elasticities and 710 partial correlation coefficients from 16 UK studies finds no overall practically significant adverse employment effect. Unlike US studies, there seems to be little, if any, overall reporting bias. Multivariate meta-regression analysis identifies several research dimensions that are associated with differential employment effects. In particular, the residential home care industry may exhibit a genuinely adverse employment effect.

Employment arrangements and mental health in a cohort of working Australians : are transitions from permanent to temporary employment associated with changes in mental health?

We investigated whether being in temporary employment, as compared with permanent employment, was associated with a difference in Short Form 36 mental health and whether transitions from permanent employment to temporary employment were associated with mental health changes. We used fixed-effects regression in a nationally representative Australian sample with 10 waves of data collection (2001–2010). Interactions by age and sex were tested. Two forms of temporary employment were studied: “casual” (no paid leave entitlements or fixed hours) and “fixed-term contract” (a defined employment period plus paid leave). There were no significant mental health differences between temporary employment and permanent employment in standard fixed-effects analyses and no significant interactions by sex or age. For all age groups combined, there were no significant changes in mental health following transitions from stable permanent employment to temporary employment, but there was a significant interaction with age (P = 0.03) for the stable-permanent-to-casual employment transition, because of a small transition-associated improvement in mental health for workers aged 55–64 years (β = 1.61, 95% confidence interval: 0.34, 2.87; 16% of the standard deviation of mental health scores). Our analyses suggest that temporary employment is not harmful to mental health in the Australian context and that it may be beneficial for 55- to 64-year-olds transitioning from stable permanent employment to casual employment.

Neoliberalism, economic restructuring and policy change : precarious housing and precarious employment in Australia

Housing, employment and economic conditions in many nations have changed greatly over the past decades. This paper explores the ways in which changing housing markets, economic conditions and government policies have affected vulnerable individuals and households, using Australia as a case study. The paper finds a substantial number and proportion of low income Australians have been affected by housing and employment that is insecure with profound implications for vulnerability. Importantly, the paper suggests that in Australia the economic gains achieved as a consequence of mining-related growth in the early 2000s were translated as greater employment security for some on low incomes, but not all. Enhanced access to employment in this period was differentiated by gender, with women largely missing out on the growth in jobs. For the population as a whole, employment gains were offset by increased housing insecurity as accommodation costs rose. The paper finds low income lone parents were especially vulnerable because they were unable to benefit from a buoyant labour market over the decade 2000–2010. They were also adversely affected by national policy changes intended to encourage engagement with paid work. The outcomes identified for Australia are likely to have been mirrored in other nations, especially those that have embraced, or been forced to adopt, more restrictive welfare and income support regimes.

A dynamic model of tourism, employment and welfare: the case of Hong Kong

The present paper uses a dynamic open-economy model with wage indexation to examine the impact of tourism on employment and welfare. Both short-run and long-run situations are analysed. It is well known that tourism converts non-traded goods into tradable goods. An increase in the demand for a non-traded good raises its relative price, which results in an expansion of the non-traded sector at the expense of the traded goods sector. This output shift raises labour employment in the short run. However, in the long run, the higher relative price leads to higher wages, resulting in a negative impact on labour employment. If the output effect is dominant, the expansion in tourism raises employment and welfare. However, under realistic conditions tourism may lower both labour employment and welfare due to rising costs. These results are demonstrated by simulating a dynamic model for the case of Hong Kong.