Now showing 1 - 2 of 2
  • Publication
    Does income inequality hinder economic growth? New evidence using Australian taxation statistics
    (Elsevier BV, 2017)
    Kennedy, Tom
    ;
    Smyth, Russell
    ;
    ;
    Using taxation statistics, we first derive consistently defined Gini coefficients for the period 1942-2013 for Australia as a whole as well as its eight states and territories. While income inequality exhibited a downward trend until 1979, it has since been on the rise not only over time, but also across states and territories. We then proceed to examine the effect of inequality on economic growth after controlling for changes arising from investment in physical and human capital using available panel data across all states and territories (1986-2013). We find that inequality adversely affects economic growth with a couple of years delay, an outcome consistent with similar studies undertaken in the United States and Europe. Our findings suggest that policymakers can address rising income inequality by implementing measures that support, and enhance, human capital accumulation given its long-run economic and social benefits.
  • Publication
    Refitting the Kuznets curve using a gender-specific threshold model
    (Routledge, 2017)
    Kennedy, Tom
    ;
    Smyth, Russell
    ;
    ;
    Previous studies have reached mixed conclusions regarding the relationship between inequality and per capita income. These studies, however, fail to consider gender differences in income inequality and how these may impact on the relationship between income inequality and per capita income. Using Australian taxation statistics, we derive three sets of Gini coefficients (i.e. female, male and total) for the period 1950-2013. We then examine the relationship between inequality and real per capita income and find that a gender-specific threshold panel regression outperforms three other conventional models. Our findings suggest that 'one set of coefficients does not fit all' in that the use of aggregate and constant coefficients may mask variations within, and between, gender inequality over time.