Melbourne Institute of Applied Economic and Social Research - Research Publications
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ItemRe-engaging with survey non-respondents: Evidence from three household panels(Wiley, 2014)Previous research into the correlates and determinants of non‐response in longitudinal surveys has focused exclusively on why it is that respondents at one survey wave choose not to participate at future waves. This is very understandable if non‐response is always an absorbing state, but in many longitudinal surveys, and certainly most household panels, this is not so. Indeed, in these surveys it is normal practice to attempt to make contact with many non‐respondents at the next wave. This study differs from previous research by examining re‐engagement with previous wave non‐respondents. Drawing on data from three national household panels it is found that the re‐engagement decision is indeed distinctly different from the decision about continued participation. Further, these differences have clear implications for the way that panel surveys should be administered given the desire to enhance overall response rates.
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ItemNo Preview AvailableWhy Parental Unemployment Matters for Children’s Educational Attainment: Empirical Evidence from the Netherlands(Oxford University Press (OUP), 2019)This study examines the effect of parents’ unemployment on their children’s subsequent educational attainment. Its theoretical significance lies on its focus to test the mediating role of parents’ changing work ethics during spells of unemployment. Integrating multiple survey and administrative data sources, our estimates are based on a sample of Dutch children (n = 812) who were exposed to their parents’ unemployment during the previous economic crisis in the early 1980s. Our results reveal a direct negative effect between fathers’ unemployment duration and their children’s educational attainment and also an indirect effect through mothers’ changing attitudes towards work. We also find empirical evidence that mothers’ and fathers’ whose views about work become more pessimistic lead to reduced educational attainment among their children.
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ItemThe Structure of the Wage Gap for Temporary Workers: Evidence from Australian Panel Data(Wiley, 2019-01-01)This study uses panel data for Australia to estimate the wage differential between workers in temporary jobs and workers in permanent jobs. It is the first study to use unconditional quantile regression methods in combination with fixed effects to examine how this gap varies over the entire wage distribution. While the wages of fixed-term contract workers are found to be similar to those of permanent workers, low-paid casual workers experience a wage penalty and high-paid casual workers a wage premium compared to their permanent counterparts. Temporary agency workers also usually receive a wage premium, which is particularly large for the most well paid.
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ItemPanel Conditioning and Subjective Well-being(SPRINGER, 2014-05)
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ItemPaid Parental Leave evaluation: Phase 1(Commonwealth of Australia, 2012)
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ItemDoes having jobless parents damage a child's future?(Melbourne Institute, 2019)Growing up in a household where parents are jobless exposes many Australian children to a lifelong cycle of disadvantage. This study provides insight into the factors driving the transmission of joblessness from one generation to the next and identifies where interventions to help break the cycle would be most effective.
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ItemA Demonstration of Set-Points for Subjective Wellbeing(Springer Nature, 2014-02-15)This paper presents evidence for the existence of ‘set-points’ for subjective wellbeing. Our results derive from a 10-year longitudinal study in which subjective wellbeing has been measured using a single question of general life satisfaction. The process of data analysis is driven by logic based on the theory of subjective wellbeing homeostasis. This analysis involves the iterative elimination of raw data, from 7,356 individual respondents, based on confidence limits. All results are projected onto a 0–100 point scale. We demonstrate evidence for the existence of set-points lying between 71 and 90 points, with an average set-point-range of 18–20 points for each person. The implications and limitations of these findings are discussed.
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ItemIntroducing 'Journeys Home'(Blackwell Publishing Inc., 2012)Homelessness, despite being a major social policy issue in Australia, is an area that is not well served by data. Most sorely lacking is any large-scale panel study that follows a broad sample of persons with recent experience of homelessness and unstable housing histories. In 2010, the Australian Government set about rectifying this deficiency when it commissioned the Melbourne Institute to undertake a new panel study, now known as ‘Journeys Home’. This study draws its sample from the population of Centrelink income-support recipients, targeting persons identified in the administrative data as having recent experience of homelessness, as well as others with similar characteristics who may be vulnerable to housing difficulties in the future. This article summarises the design of this new study and reports on fieldwork outcomes from the first two waves of data collection.
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ItemWork-Related Training and the Probability of Transitioning from Non-Permanent to Permanent Employment(Wiley, 2016-01-01)It is widely believed that work-related training increases a worker's probability of moving up the job-quality ladder. This is usually couched in terms of effects on wages, but it has also been argued that training increases the probability of moving from non-permanent forms of employment to more permanent employment. This hypothesis is tested using nationally representative panel data for Australia, a country where the incidence of non-permanent employment, and especially casual employment, is high by international standards. While a positive association between participation in work-related training and the subsequent probability of moving from either casual or fixed-term contract employment to permanent employment is observed among men, this is shown to be driven not by a causal impact of training on transitions but by differences between those who do and do not receive training, that is selection bias.