Distributional National Accounts (DINA) with Household Survey Data: Methodology and Results for European Countries
| Autor: | Stefan Humer, Stefan Ederer, Stefan Jestl, Emanuel List |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
502010 Public finance
Economics and Econometrics 502025 Ökonometrie National accounts Microsimulation 502046 Volkswirtschaftspolitik Microdata (statistics) 502010 Finanzwissenschaft 502046 Economic policy Household survey Economic inequality Income distribution Econometrics Economics 502025 Econometrics Survey data collection Socioeconomic status |
| Zdroj: | Review of Income and Wealth. |
| ISSN: | 1475-4991 0034-6586 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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