IDEAS home Printed from https://ideas.repec.org/a/aea/apandp/v109y2019p296-301.html
   My bibliography  Save this article

Unequal Distributions: EG DNA versus DINA Approach

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/doi/10.1257/pandp.20191036
    Download Restriction: no
    File URL: https://www.aeaweb.org/doi/10.1257/pandp.20191036.ds
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. De Rosa, Mauricio & Flores, Ignacio & Morgan, Marc, 2024. "More unequal or not as rich? Revisiting the Latin American exception," World Development, Elsevier, vol. 184(C).
    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," WIFO Working Papers 599, WIFO.
    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aea:apandp:v:109:y:2019:p:296-301. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.