{"id":54385,"date":"2023-12-01T18:20:54","date_gmt":"2023-12-01T17:20:54","guid":{"rendered":"https:\/\/www.wifo.ac.at\/publication\/distributional-national-accounts-dina-with-household-survey-data-methodology-and-results-for-european-countries\/"},"modified":"2024-11-07T06:15:01","modified_gmt":"2024-11-07T05:15:01","slug":"distributional-national-accounts-dina-with-household-survey-data-methodology-and-results-for-european-countries","status":"publish","type":"publication","link":"https:\/\/www.wifo.ac.at\/en\/publication\/54385\/","title":{"rendered":"Distributional National Accounts (DINA) with Household Survey Data. Methodology and Results for European Countries"},"content":{"rendered":"","protected":false},"featured_media":0,"template":"","class_list":["post-54385","publication","type-publication","status-publish","hentry"],"acf":{"subtitle":"","text":"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.","onlinedate":"2020-04-26 12:00:00","lang":"English","publication_series":"","publication_date":"20200401","publication_date_year":"","publication_date_full":false,"publication_num_pages":"46","keywords":"[]","jelcodes":"[]","related_publications":"[\"c93005d6-229e-42f4-a2bb-f8867427772a\"]","pdf":381772,"zip":null,"link":"","monthly_report":true,"monthly_report_main":false,"monthly_report_volume":"","monthly_report_pages":"","monthly_report_pages_sort":"0","issue":"599","journal":"WIFO Working Papers","publisher":"","invisible":false,"external":false,"embargo_date":"2020-04-26 12:00:00","types":[44410],"research_groups":[3500],"collaboration":"","persons":[3567,17199,13631,13633],"persons_data":"[{\"personId\":3567,\"personName\":\"Stefan Ederer\",\"organisationNames\":[]},{\"personId\":17199,\"personName\":\"Stefan Humer\",\"organisationNames\":[]},{\"personId\":13631,\"personName\":\"Stefan Jestl\",\"organisationNames\":[]},{\"personId\":13633,\"personName\":\"Emanuel List\",\"organisationNames\":[]}]","clients":[],"subclients":[],"partners":[],"topics":[52985],"host_publication_title":"","host_publication_subtitle":"","place_of_publication":"","host_publication_editors":"[]","type_description":"","output_media":"","chapter":"","article_number":"","citations":"{\"apa\":\"<div class=\\\"rendering rendering_researchoutput  rendering_researchoutput_apa rendering_contributiontoperiodical rendering_apa rendering_contributiontoperiodical_apa\\\"><span>Ederer, S.<\\\/span>, Humer, S., Jestl, S., &amp; List, E. (2020). <span>Distributional National Accounts (DINA) with Household Survey Data. Methodology and Results for European Countries<\\\/span>. <span><em>WIFO Working Papers<\\\/em><\\\/span>, (599). <a onclick=\\\"window.open(this.href, '_blank','noopener,noreferrer'); return false;\\\" href=\\\"https:\\\/\\\/www.wifo.ac.at\\\/wwa\\\/pubid\\\/65907\\\" class=\\\"link\\\"><span>https:\\\/\\\/www.wifo.ac.at\\\/wwa\\\/pubid\\\/65907<\\\/span><\\\/a><\\\/div>\",\"vancouver\":\"<div class=\\\"rendering rendering_researchoutput  rendering_researchoutput_vancouver rendering_contributiontoperiodical rendering_vancouver rendering_contributiontoperiodical_vancouver\\\"><span>Ederer S<\\\/span>, Humer S, Jestl S, List E. <span class=\\\"title\\\"><span>Distributional National Accounts (DINA) with Household Survey Data. Methodology and Results for European Countries<\\\/span><\\\/span>. <span>WIFO Working Papers<\\\/span>. 2020 Apr;(599).<\\\/div>\",\"bibtex\":\"<div class=\\\"rendering rendering_researchoutput  rendering_researchoutput_bibtex rendering_contributiontoperiodical rendering_bibtex rendering_contributiontoperiodical_bibtex\\\"><div>@misc{a9b79d211d8d49fbafb5161c2da715fc,<\\\/div><div>  title    = \\\"Distributional National Accounts (DINA) with Household Survey Data. Methodology and Results for European Countries\\\",<\\\/div><div>  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.\\\",<\\\/div><div>  keywords = \\\"Distributional National Accounts; survey data; income inequality\\\",<\\\/div><div>  author   = \\\"Stefan Ederer and Stefan Humer and Stefan Jestl and Emanuel List\\\",<\\\/div><div>  note     = \\\"Distributional National Accounts (DINA) with Household Survey Data\\\",<\\\/div><div>  year     = \\\"2020\\\",<\\\/div><div>  month    = apr,<\\\/div><div>  language = \\\"English\\\",<\\\/div><div>  journal  = \\\"WIFO Working Papers\\\",<\\\/div><p>}<\\\/p><\\\/div>\",\"ris\":\"<div class=\\\"rendering rendering_researchoutput  rendering_researchoutput_ris rendering_contributiontoperiodical rendering_ris rendering_contributiontoperiodical_ris\\\"><p>TY  - GEN<\\\/p><p>T1  - Distributional National Accounts (DINA) with Household Survey Data. Methodology and Results for European Countries<\\\/p><p>AU  - Ederer, Stefan<\\\/p><p>AU  - Humer, Stefan<\\\/p><p>AU  - Jestl, Stefan<\\\/p><p>AU  - List, Emanuel<\\\/p><p>N1  - Distributional National Accounts (DINA) with Household Survey Data<\\\/p><p>PY  - 2020\\\/4<\\\/p><p>Y1  - 2020\\\/4<\\\/p><p>N2  - 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.<\\\/p><p>AB  - 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. 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