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Was fehlt in der EVS?. Eine Verteilungsanalyse hoher Einkommen mit der verknüpften Einkommensteuerstatistik für Selbständige und abhängig Beschäftigte / What is Missing in the EVS?. A Distributional Analysis of High Income With the Merged Income Tax Statistic for Self-Employed and Employees

  • Merz Joachim


    (Universität Lüneburg, Fachbereich Wirtschafts- und Sozialwissenschaften, Forschungsinstitut Freie Berufe (FFB), Campus: Scharnhorststr. 1, Geb. 5, D-21332 Lüneburg. Tel.: ++49/+41 31/78 20 51, Fax: ++49/+41 31/78 20 59)

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 threshold is not available. In this study, for the first time, distributional consequences of a merging between the EVS and the Income Tax Statistic (EStS) in particular for high income are analyzed.

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Article provided by De Gruyter in its journal Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik).

Volume (Year): 223 (2003)
Issue (Month): 1 (February)
Pages: 58-90

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Handle: RePEc:jns:jbstat:v:223:y:2003:i:1:p:58-90
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  1. 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.
  2. Atkinson, A B, 1987. "On the Measurement of Poverty," Econometrica, Econometric Society, vol. 55(4), pages 749-64, July.
  3. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
  4. 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.
  5. Joachim Merz & Thorsten Quiel & Kshama Venkatarama, 1998. "Wer bezahlt die Steuern? Steuerbelastung und Einkommenssituation von Freien und anderen Berufen," FFB-Discussionpaper 24, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
  6. Shorrocks, A F, 1980. "The Class of Additively Decomposable Inequality Measures," Econometrica, Econometric Society, vol. 48(3), pages 613-25, April.
  7. 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.
  8. Shorrocks, Anthony F, 1984. "Inequality Decomposition by Population Subgroups," Econometrica, Econometric Society, vol. 52(6), pages 1369-85, November.
  9. 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.
  10. 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).
  11. 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.
  12. Sen, Amartya, 1979. " Issues in the Measurement of Poverty," Scandinavian Journal of Economics, Wiley Blackwell, vol. 81(2), pages 285-307.
  13. Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-31, March.
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