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Public Insurance and Wealth Inequality - A Euro Area Analysis

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  • Pham-Dao, Lien

Abstract

Since the release of the first wave of the Household Finance and Consumption Survey, the causes of the large euro area differences in private net wealth inequality have been at the forefront of the political debate. This paper assesses the quantitative importance of cross-country differences in labor market risks and social security institutions for euro area differences in private net wealth inequality. I document the empirical puzzle that euro area countries with the largest reduction in the income Gini coefficient through public transfers and with most generous welfare states, robustly show a higher inequality in private net wealth. Going back to the argument by Hubbard et al. (1995) that public insurance crowds out private savings especially of the poor, I construct a life cycle model with heterogeneous households and incomplete markets that features exogenous labor market risks, social transfers and public and occupational pensions. Calibrating the model to the actual euro area differences in the gross earnings process, unemployment dynamics and social security systems, it can account for 61.2% of the cross-country differences in the net wealth Gini coefficients for the bottom 95% of the wealth distribution. The model results suggest that welfare policies contribute with 47.3% to the wealth inequality differences across the euro area, while gross earnings inequality and unemployment can rationalize 13.9%.

Suggested Citation

  • Pham-Dao, Lien, 2016. "Public Insurance and Wealth Inequality - A Euro Area Analysis," VfS Annual Conference 2016 (Augsburg): Demographic Change 145942, Verein für Socialpolitik / German Economic Association.
  • Handle: RePEc:zbw:vfsc16:145942
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    Cited by:

    1. Hintermaier, Thomas & Koeniger, Winfried, 2018. "Differences in Euro-Area Household Finances and their Relevance for Monetary-Policy Transmission," Economics Working Paper Series 1806, University of St. Gallen, School of Economics and Political Science, revised Nov 2019.
    2. Pirmin Fessler & Peter Lindner & Martin Schürz, 2016. "In focus: Eurosystem Household Finance and Consumption Survey 2014 – first results for Austria (second wave)," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 34-95.
    3. Pierre Emmanuel Weil, 2018. "Redistribution from the Cradle to the Grave: A Unified Approach to Heterogeneity in Age, Income and Wealth," 2018 Papers pwe433, Job Market Papers.
    4. Christian Bayer & Moritz Kuhn, 2018. "Which Ladder to Climb? Decomposing Life Cycle Wage Dynamics," CESifo Working Paper Series 7236, CESifo.
    5. repec:ces:ifodic:v:16:y:2018:i:2:p:50000000002757 is not listed on IDEAS
    6. Orsetta Causa & Nicolas Woloszko & David Leite, 2020. "Housing, Wealth Accumulation and Wealth Distribution: Evidence and Stylized Facts," LWS Working papers 30, LIS Cross-National Data Center in Luxembourg.
    7. Clemens Fuest & Florian Neumeier & Michael Stimmelmayr & Daniel Stöhlker, 2018. "The Economic Effects of a Wealth Tax in Germany," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 16(02), pages 22-26, August.

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    More about this item

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth

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