Chancellery Research - Research Publications

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    The Effect of Financial Incentives on Labour Supply: Evidence for Lone Parents from Microsimulation and Quasi-Experimental Evaluation
    CAI, L ; KALB, G ; TSENG, Y ; VU, THH (Institute for Fiscal Studies, 2008-06)
    The aim of this paper is to analyse the work incentive effects of a change in the Australian tax and transfer system on lone parents in July 2000. To evaluate the effect of the total change only, microsimulation can be used; but for a subgroup of lone parents, a few components of this policy change can be analysed through two alternative approaches - microsimulation and quasi-experimental evaluation. Both approaches examine the effects on the probability of employment and on average working hours. The results from microsimulation show that the combined changes introduced in July 2000 - involving reduced withdrawal rates, changed family payments and lower income tax rates - have increased labour supply for lone parents to a moderate extent. The estimated effect on average working hours when using microsimulation is very close to the effect estimated in a quasi-experimental approach using matching techniques to control for alternative influences.
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    The Social Multiplier and Labor Market Participation of Mothers
    Maurin, E ; MOSCHION, J (American Economic Association, 2009)
    In France, as in the US, a mother's labor market participation is influenced by the sex composition of her two eldest siblings. This paper shows that it is also affected by the sex composition of the eldest siblings of the other mothers living in the same close neighborhood. Using the sex composition of neighbors' eldest siblings as an instrumental variable, we identify a significant elasticity of own labor market participation to neighbors' participation. We present supportive evidence by comparing the estimates under two regimes for family benefits (pre-and post-1994 reform) and using quarter of birth as an alternative instrument.
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    Work Hours Mismatch in the United States and Australia
    DRAGO, R ; WOODEN, M ; Schneider, B ; Christensen, K (Cornell University Press, 2010)
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    The Changing Distribution of Working Hours in Australia
    WOODEN, M ; Drago, R (RoutledgeFalmer, 2009)
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    Computational Macroeconomics for the Open Economy
    Lim, GC ; McNelis, PD (MIT PRESS, 2008)
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    EXAMINING THE PREFERENCES OF HEALTH CARE PROVIDERS An application to hospital consultants
    Scott, A ; Ubach, C ; French, F ; Needham, G ; Ryan, M ; Gerard, K ; AmayaAmaya, M (SPRINGER, 2008)
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    Disadvantage across the Generations: What Do We Know about Social and Economic Mobility in Australia?*
    Cobb-Clark, D (WILEY-BLACKWELL PUBLISHING, INC, 2010-09)
    This paper begins by considering the Australian evidence on intergenerational social and economic mobility in the context of the international literature. Recent evidence from the Youth in Focus project is used to highlight the effects of growing up in socio‐economic disadvantage on a range of outcomes for young Australians.
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    Occupational Segregation and the Gender Wage Gap in Private- and Public-Sector Employment: A Distributional Analysis*
    Baron, JD ; Cobb-Clark, DA (WILEY-BLACKWELL, 2010-06)
    We use the Household, Income and Labour Dynamics in Australia data from 2001 to 2006 to analyse the source of the gender wage gap across public‐ and private‐sector wage distributions in Australia. We are particularly interested in the role of gender segregation within sector‐specific occupations in explaining relative wages. We find that, irrespective of labour market sector, the gender wage gap among low‐paid, Australian workers is more than explained by differences in wage‐related characteristics. The gender wage gap among high‐wage workers, however, is largely unexplained in both sectors suggesting that glass ceilings (rather than sticky floors) may be prevalent. Gender differences in employment across occupations advantage (rather than disadvantage) all women except those in high‐paid jobs, whereas disparity in labour market experience plays a much more important role in explaining relative private‐sector wages. Finally, disparity in educational qualifications and demographic characteristics are generally unimportant in explaining the gender wage gap.