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Policy, Demography, and Market Income Volatility: What Shaped Income Distribution and Inequality in Australia Between 2002 and 2016?

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  • Jinjing Li
  • Hai Anh La
  • Denisa M. Sologon

Abstract

Isolating the impact of policy, demographic shifts, and market volatility on changes in income inequality is of great interest to policymakers. However, such estimation can be difficult due to the complex interactions and evolutions in the social and economic environment. Through an extended decomposition framework, this paper estimates the effect of four main components (policy, demography, market income and other factors) on the year‐over‐year changes in income inequality in Australia between 2002 and 2016. This was a period marked by substantial policy, population, and economic shifts due to factors such as the mining boom, the global financial crisis and increasing immigration. The framework also incorporates a flexible non‐parametric market income model which captures demand‐side shock better than a standard parametric model. Our results suggest that market income was the primary driver of income inequality for all segments of the income distribution in Australia over the past 15 years. Policy factors, moreover, have had the largest net impact on reducing inequality overall, especially for lower income earners.

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  • Jinjing Li & Hai Anh La & Denisa M. Sologon, 2021. "Policy, Demography, and Market Income Volatility: What Shaped Income Distribution and Inequality in Australia Between 2002 and 2016?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(1), pages 196-221, March.
    • Handle: RePEc:bla:revinw:v:67:y:2021:i:1:p:196-221
    DOI: 10.1111/roiw.12467
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    2. Jinjing Li & Yogi Vidyattama & Hai Anh La & Riyana Miranti & Denisa M. Sologon, 2022. "Estimating the Impact of Covid-19 and Policy Responses on Australian Income Distribution Using Incomplete Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(1), pages 1-31, July.
    3. Karina Doorley & Jan Gromadzki & Piotr Lewandowski & Dora Tuda & Philippe Van Kerm, 2023. "Automation and income inequality in Europe," IBS Working Papers 06/2023, Instytut Badan Strukturalnych.
    4. Nerijus Černiauskas & Denisa M. Sologon & Cathal O’Donoghue & Linas Tarasonis, 2022. "Income Inequality and Redistribution in Lithuania: The Role of Policy, Labor Market, Income, and Demographics," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(S1), pages 131-166, April.
    5. Roger Wilkins, 2021. "Economic Wellbeing," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 54(4), pages 469-481, December.
    6. O'Donoghue, Cathal & Sologon, Denisa Maria, 2023. "The Transformation of Public Policy Analysis in Times of Crisis – A Microsimulation-Nowcasting Method Using Big Data," IZA Discussion Papers 15937, Institute of Labor Economics (IZA).
    7. Silvia Avram & Mike Brewer & Paul Fisher & Laura Fumagalli, 2022. "Household Earnings and Income Volatility in the UK, 2009–2017," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(2), pages 345-369, June.

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