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Unequal Distributions: EG DNA versus DINA Approach

Author

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  • Jorrit Zwijnenburg

Abstract

In the past years, projects have been initiated to develop distributional results in line with national accounts totals. Their results differ from those obtained from micro statistics, but also show differences across projects, due to different underlying concepts and methodology to derive the results. This paper explains the differences between the work by the OECD-Eurostat Expert Group on Disparities in National Accounts (EG DNA) and the work on Distributional National Accounts (DINA) as developed in the context of the World Wealth and Income Database. It shows that different concepts and assumptions in the compilation process may significantly affect distributional results.

Suggested Citation

  • Jorrit Zwijnenburg, 2019. "Unequal Distributions: EG DNA versus DINA Approach," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 296-301, May.
    • Handle: RePEc:aea:apandp:v:109:y:2019:p:296-301
    Note: DOI: 10.1257/pandp.20191036
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    File URL: https://www.aeaweb.org/doi/10.1257/pandp.20191036
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    Citations

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    Cited by:

    1. De Rosa, Mauricio & Flores, Ignacio & Morgan, Marc, 2022. "More Unequal or Not as Rich? Revisiting the Latin American Exception," SocArXiv akq89, Center for Open Science.
    2. Lukas Riedel & Holger Stichnoth, 2022. "Government Expenditure in the DINA Framework: Allocation Methods and Consequences for Post-Tax Income Inequality," Working Papers of BETA 2022-06, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    3. 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.
    4. 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.
    5. Alvaredo, Facundo & De Rosa, Mauricio & Flores Beale, Ignacio & Morgan, Marc, 2022. "The Inequality (or the Growth) we Measure: Data Gaps and the Distribution of Incomes," CEPR Discussion Papers 17135, C.E.P.R. Discussion Papers.
    6. Stichnoth, Holger & Riedel, Lukas, 2021. "Allocating Collective Expenditure: The Case of Education," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242363, Verein für Socialpolitik / German Economic Association.
    7. Stefan Ederer & Predrag Ćetković & Stefan Humer & Stefan Jestl & Emanuel List, 2022. "Distributional National Accounts (DINA) with Household Survey Data: Methodology and Results for European Countries," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(3), pages 667-688, September.

    More about this item

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • 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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