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Distributional National Accounts (DINA) with Household Survey Data: Methodology and Results for European Countries

Author

Listed:
  • Stefan Ederer
  • Stefan Humer
  • Stefan Jestl

    (The Vienna Institute for International Economic Studies, wiiw)

  • Emanuel List

Abstract

The paper builds Distributional National Accounts (DINA) using household survey data. We present a transparent and reproducible methodology to construct DINA whenever administrative tax data are not available for research and apply it to various European countries. By doing so, we build synthetic microdata files which cover the entire distribution, include all income components individually aligned to national accounts, and preserve the detailed socioeconomic information available in the surveys. The methodology uses harmonized and publicly available data sources (SILC, HFCS) and provides highly comparable results. We discuss the methodological steps and their impact on the income distribution. In particular, we highlight the effects of imputations and the adjustment of the variables to national accounts totals. Furthermore, we compare different income concepts of both the DINA and EG-DNA approach of the OECD in a consistent way. Our results confirm that constructing DINA is crucial to get a better picture of the income distribution. Our methodology is well suited to build synthetic microdata files which can be used for policy evaluation like social impact analysis and microsimulation. Disclaimer This research has been conducted as a project at the Research Institute for Economics of Inequality (INEQ -- Vienna University for Economics and Business) and was supported by funds from the Oesterreichische Nationalbank (Oesterreichische Nationalbank anniversary fund, project 16728).

Suggested Citation

  • Stefan Ederer & Stefan Humer & Stefan Jestl & Emanuel List, 2020. "Distributional National Accounts (DINA) with Household Survey Data: Methodology and Results for European Countries," wiiw Working Papers 180, The Vienna Institute for International Economic Studies, wiiw.
  • Handle: RePEc:wii:wpaper:180
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    References listed on IDEAS

    as
    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," Working Papers halshs-02794308, HAL.
    2. Pirmin Fessler & Miriam Rehm & Lukas Tockner, 2016. "The impact of housing non-cash income on the household income distribution in Austria," Urban Studies, Urban Studies Journal Limited, vol. 53(13), pages 2849-2866, October.
    3. 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.
    4. 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.
    5. Maryse Fesseau & Florence Wolff & Maria Liviana Mattonetti, 2013. "A Cross-country Comparison of Household Income, Consumption and Wealth between Micro Sources and National Accounts Aggregates," OECD Statistics Working Papers 2013/3, OECD Publishing.
    6. Carlos Felipe Balcázar & Lidia Ceriani & Sergio Olivieri & Marco Ranzani, 2017. "Rent‐Imputation for Welfare Measurement: A Review of Methodologies and Empirical Findings," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 881-898, December.
    7. Facundo Alvaredo & Lucas Chancel & Thomas Piketty & Emmanuel Saez & Gabriel Zucman, 2017. "Global Inequality Dynamics: New Findings from WID.world," American Economic Review, American Economic Association, vol. 107(5), pages 404-409, May.
    8. Jorrit Zwijnenburg, 2019. "Unequal Distributions: EG DNA versus DINA Approach," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 296-301, May.
    9. Maryse Fesseau & Maria Liviana Mattonetti, 2013. "Distributional Measures Across Household Groups in a National Accounts Framework: Results from an Experimental Cross-country Exercise on Household Income, Consumption and Saving," OECD Statistics Working Papers 2013/4, OECD Publishing.
    10. Atkinson, A B, 1997. "Bringing Income Distribution in from the Cold," Economic Journal, Royal Economic Society, vol. 107(441), pages 297-321, March.
    11. Atkinson, A B, 1971. "The Distribution of Wealth and the Individual Life-cycle," Oxford Economic Papers, Oxford University Press, vol. 23(2), pages 239-254, July.
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    Citations

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    Cited by:

    1. Mathias Silva & Michel Lubrano, 2023. "Bayesian correction for missing rich using a Pareto II tail with unknown threshold: Combining EU-SILC and WID data," AMSE Working Papers 2320, Aix-Marseille School of Economics, France.
    2. Stefan Jestl & Emanuel List, 2020. "Distributional National Accounts (DINA) for Austria, 2004-2016," wiiw Working Papers 175, The Vienna Institute for International Economic Studies, wiiw.
    3. Stefan Jestl & Emanuel List, 2020. "Distributional National Accounts (DINA) for Austria, 2004-2016," Working Papers halshs-03022077, HAL.
    4. Demetrio Guzzardi & Elisa Palagi & Andrea Roventini & Alessandro Santoro, 2022. "Reconstructing Income Inequality in Italy: New Evidence and Tax Policy Implications from Distributional National Accounts," SciencePo Working papers Main halshs-03693201, HAL.
    5. Stefan Jestl & Emanuel List, 2023. "Inequality, Redistribution, and the Financial Crisis: Evidence from Distributional National Accounts for Austria," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 69(1), pages 195-227, March.
    6. Stefan Jestl & Emanuel List, 2020. "Distributional National Accounts (DINA) for Austria, 2004-2016," World Inequality Lab Working Papers halshs-03022077, HAL.
    7. Stefan Jestl & Emanuel List, 2020. "Distributional national accounts (DINA) for Austria 2004-2016," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 197, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    8. Mayer, Jakob & Dugan, Anna & Bachner, Gabriel & Steininger, Karl W., 2021. "Is carbon pricing regressive? Insights from a recursive-dynamic CGE analysis with heterogeneous households for Austria," Energy Economics, Elsevier, vol. 104(C).
    9. Emanuel List, 2023. "Housing and Income Inequality in Europe: Distributional Effects of Non‐Cash Income From Imputed Rents," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 69(2), pages 504-532, June.

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    More about this item

    Keywords

    Distributional national accounts; survey data; income inequality;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts

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