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Distributional National Accounts (DINA) for Austria, 2004-2016

Author

Listed:
  • Stefan Jestl

    (WU Wien - Vienna University of Business and Economics - Vienna University of Business and Economics, WIIW - Wiener Institut für Internationale Wirtschaftsvergleiche)

  • Emanuel List

    (WU Wien - Vienna University of Business and Economics - Vienna University of Business and Economics, Macroeconomic Policy Institute - Macroeconomic Policy Institute)

Abstract

This paper constructs distributional national accounts for Austria for the period 2004-2016. We enrich survey data with tabulated tax data and make it fully consistent with national accounts data. The comprehensive dataset allows us to analyse the distribution of macroeconomic growth across the income distribution and to explore the evolution of income inequality in pre-tax income over time. Our results suggest that the distribution of growth has changed over time, which had considerable repercussions on inequality. Inequality started to decline at the very beginning of the economic and financial crisis in 2007, however it has increased again after 2012. We further provide novel insights into the evolution of capital income for top income groups and explore redistribution mechanisms that operated in Austria. Government spending was found to play a key role for redistributive effects across the income distribution. In particular, the transfer system redistributes pre-tax income to a large extent. Our results further show that lower educated and younger individuals faced negative growth in pre-tax income over the years, but also considerably benefited from redistribution.

Suggested Citation

  • Stefan Jestl & Emanuel List, 2020. "Distributional National Accounts (DINA) for Austria, 2004-2016," World Inequality Lab Working Papers halshs-03022077, HAL.
  • Handle: RePEc:hal:wilwps:halshs-03022077
    Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-03022077
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    References listed on IDEAS

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    1. Facundo Alvaredo & Anthony Atkinson & Lucas Chancel & Thomas Piketty & Emmanuel Saez & Gabriel Zucman, 2016. "Distributional National Accounts (DINA) Guidelines : Concepts and Methods used in WID.world," World Inequality Lab Working Papers halshs-02794308, HAL.
    2. Conor Clarke & Wojciech Kopczuk, 2017. "Business Income and Business Taxation in the United States since the 1950s," Tax Policy and the Economy, University of Chicago Press, vol. 31(1), pages 121-159.
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    4. Garbinti, Bertrand & Goupille-Lebret, Jonathan & Piketty, Thomas, 2018. "Income inequality in France, 1900–2014: Evidence from Distributional National Accounts (DINA)," Journal of Public Economics, Elsevier, vol. 162(C), pages 63-77.
    5. Thomas Blanchet & Lucas Chancel & Amory Gethin, 2019. "How Unequal is Europe? Evidence from Distributional National Accounts, 1980-2017," World Inequality Lab Working Papers hal-02877000, HAL.
    6. Thomas Piketty & Emmanuel Saez & Gabriel Zucman, 2018. "Distributional National Accounts: Methods and Estimates for the United States," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(2), pages 553-609.
    7. Thomas Blanchet & Juliette Fournier & Thomas Piketty, 2022. "Generalized Pareto Curves: Theory and Applications," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(1), pages 263-288, March.
    8. Stefan Ederer & Stefan Humer & Stefan Jestl & Emanuel List, 2020. "Distributional National Accounts (DINA) with Household Survey Data. Methodology and Results for European Countries," WIFO Working Papers 599, WIFO.
    9. Roine, Jesper & Vlachos, Jonas & Waldenström, Daniel, 2009. "The long-run determinants of inequality: What can we learn from top income data?," Journal of Public Economics, Elsevier, vol. 93(7-8), pages 974-988, August.
    10. Thomas Blanchet & Ignacio Flores & Marc Morgan, 2022. "The weight of the rich: improving surveys using tax data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 119-150, March.
    11. Facundo Alvaredo & Lucas Chancel & Thomas Piketty & Gabriel Zucman, 2018. "Distributional National Accounts," Post-Print halshs-03342488, HAL.
    12. repec:onb:oenbwp:y:2009:i:17:b:1 is not listed on IDEAS
    13. Philip Vermeulen, 2018. "How Fat is the Top Tail of the Wealth Distribution?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(2), pages 357-387, June.
    14. Stefan Angel & Franziska Disslbacher & Stefan Humer & Matthias Schnetzer, 2019. "What did you really earn last year?: explaining measurement error in survey income data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 182(4), pages 1411-1437, October.
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    Cited by:

    1. Anna Schwarz & Philipp Warum, 2023. "Don’t Stop Believin’ – Heterogeneous Updating of Intergenerational Mobility Perceptions across Income Groups," CESifo Working Paper Series 10592, CESifo.
    2. Arjan Bruil (CBS) & Céline van Essen & Wouter Leenders & Arjan Lejour & Jan Möhlmann & Simon Rabaté, 2022. "Inequality and Redistribution in the Netherlands," CPB Discussion Paper 436, CPB Netherlands Bureau for Economic Policy Analysis.
    3. Anna Schwarz & Philipp Warum, 2023. "Don't Stop Believin'. Heterogeneous Updating of Intergenerational Mobility Perceptions across Income Groups," WIFO Working Papers 665, WIFO.

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