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

Stefan Ederer, Stefan Humer, Stefan Jestl and 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 harmonised 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.

Keywords: Distributional National Accounts; survey data; income inequality (search for similar items in EconPapers)
Pages: 46 pages
Date: 2020-04
New Economics Papers: this item is included in nep-eur
References: Add references at CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://www.wifo.ac.at/wwa/pubid/65907 abstract (text/html)

Related works:
Working Paper: Distributional National Accounts (DINA) with Household Survey Data: Methodology and Results for European Countries (2020)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wfo:wpaper:y:2020:i:599

Access Statistics for this paper

More papers in WIFO Working Papers from WIFO Contact information at EDIRC.
Bibliographic data for series maintained by Florian Mayr ().