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Was fehlt in der EVS ? Eine Verteilungsanalyse hoher Einkommen mit der verknüpften Einkommensteuerstatistik für Selbständige und abhängig Beschäftigte

  • Joachim Merz

    ()

    (LEUPHANA University Lüneburg,Department of Economic, Behaviour and Law Sciences, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)))

An outstanding microdatabase for the analysis of income and its distribution is the Income and Consumption Survey (EVS). However, high income above the 35.000 DM household net income per month frontier are not available. In this study we analyse for the first time, which distributional consequences a merging between the EVS and the Income Tax Statistics (EStS) records with its high (above these 35.000 DM) incomes will have. We start with a description of the Wage and Income Tax Statistic (EStS) as a well suited microdatabasis to income analyses in general and for high income in particular. Our merging strategy uses taxpaying classes divided by householdtypes. With the merged Income Tax Statistic EStS/EVS 1995 vs. EVS 1993 we compare and analyse the distribution of income on the household level and on the personal level via equivalence income concepts. We investigate in particular high incomes with a distributional analysis and a decomposition for the selfemployed and the employees. Structural analyses then decribe the spectrum of rich and non rich households for different socio-economic attributes. The concluding remarks emphasize the need for an integrated microdatafile for a targeted economic and social policy.

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File URL: http://www.leuphana.de/fileadmin/user_upload/Forschungseinrichtungen/ffb/files/publikationen/diskussion/DP_30_was_fehlt_evs.pdf
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Paper provided by Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg in its series FFB-Discussionpaper with number 30.

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Length: 59 pages
Date of creation: May 2001
Date of revision:
Handle: RePEc:leu:wpaper:30
Contact details of provider: Web page: http://ffb.uni-lueneburg.de/repec/leu/

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  1. Shorrocks, A F, 1980. "The Class of Additively Decomposable Inequality Measures," Econometrica, Econometric Society, vol. 48(3), pages 613-25, April.
  2. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
  3. Shorrocks, Anthony F, 1984. "Inequality Decomposition by Population Subgroups," Econometrica, Econometric Society, vol. 52(6), pages 1369-85, November.
  4. Blackburn, McKinley L., 1989. "Interpreting the magnitude of changes in measures of income inequality," Journal of Econometrics, Elsevier, vol. 42(1), pages 21-25, September.
  5. Michael F. Förster, 2000. "Trends and Driving Factors in Income Distribution and Poverty in the OECD Area," OECD Labour Market and Social Policy Occasional Papers 42, OECD Publishing.
  6. Sen, Amartya, 1979. " Issues in the Measurement of Poverty," Scandinavian Journal of Economics, Wiley Blackwell, vol. 81(2), pages 285-307.
  7. Merz, Joachim & Quiel, Thorsten & Venkatarama, Kshama, 1998. "Wer bezahlt die Steuern? Steuerbelastung und Einkommenssituation von Freien und anderen Berufen," MPRA Paper 9173, University Library of Munich, Germany.
  8. Fachinger, Uwe, 1998. "Die Verteilung der Vermögen privater Haushalte: Einige konzeptionelle Anmerkungen sowie empirische Befunde für die Bundesrepublik Deutschland," Working papers of the ZeS 13/1998, University of Bremen, Centre for Social Policy Research (ZeS).
  9. Atkinson, A B, 1987. "On the Measurement of Poverty," Econometrica, Econometric Society, vol. 55(4), pages 749-64, July.
  10. Merz, Joachim & Faik, Jürgen, 1994. "Equivalence Scales Based on Revealed Preference Consumption Expenditure Microdata - The Case of West Germany," MPRA Paper 16297, University Library of Munich, Germany.
  11. Stefan Bach & Bernd Bartholmai, 2000. "Möglichkeiten zur Modellierung hoher Einkommen auf Grundlage der Einkommensteuerstatistik," Discussion Papers of DIW Berlin 212, DIW Berlin, German Institute for Economic Research.
  12. Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-31, March.
  13. Markus M. Grabka, 2000. "Einkommensverteilung in Deutschland: stärkere Umverteilungseffekte in Ostdeutschland," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 67(19), pages 291-297.
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