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Measuring richness

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  • Andreas Peichl

    (University of Cologne)

Abstract

In this paper, we describe richness, a Stata program for the calculation of richness indices. Peichl, Schaefer, and Scheicher (2007) propose a new class of richness measures to contribute to the debate how to deal with the financing problems that European welfare states face as a result of global economic competition. In contrast to the often-used head count, these new measures are sensitive to changes in rich persons’ income. This approach allows for a more sophisticated analysis of richness, namely, the question whether the gap between rich and poor is widening. We propose to use our new measures in addition to the head count index for a more comprehensive analysis of richness.

Suggested Citation

  • Andreas Peichl, 2007. "Measuring richness," German Stata Users' Group Meetings 2007 06, Stata Users Group.
    • Handle: RePEc:boc:dsug07:06
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    File URL: http://fmwww.bc.edu/repec/dsug2007/PEICHL_20070402_VortragStataUsersGroup.pdf
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    Citations

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    Cited by:

    1. Nuno Crespo & Sandrina Berthault Moreira & Nádia Simões, 2011. "An integrated approach for the measurement of inequality, poverty, and richness," Working Papers 205, ECINEQ, Society for the Study of Economic Inequality.
    2. Peichl, Andreas & Paulus, Alari, 2008. "Effects of flat tax reforms in Western Europe on equity and efficiency," FiFo Discussion Papers - Finanzwissenschaftliche Diskussionsbeiträge 08-4, University of Cologne, FiFo Institute for Public Economics.
    3. Peichl, Andreas & Pestel, Nico, 2010. "Multidimensional Measurement of Richness: Theory and an Application to Germany," IZA Discussion Papers 4825, Institute of Labor Economics (IZA).
    4. Lidia Ceriani & Paolo Verme, 2014. "The Income Lever and the Allocation of Aid," Journal of Development Studies, Taylor & Francis Journals, vol. 50(11), pages 1510-1522, November.
    5. Andreas Peichl & Nico Pestel & Hilmar Schneider, 2012. "Does Size Matter? The Impact Of Changes In Household Structure On Income Distribution In Germany," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 58(1), pages 118-141, March.
    6. Chiara Gigliarano & Pietro Muliere, 2012. "Measuring Income Polarization Using an Enlarged Middle Class," Working Papers 271, ECINEQ, Society for the Study of Economic Inequality.
    7. Joachim Merz & Bettina Scherg, 2013. "Polarization of time and income – A multidimensional approach with well-being gap and minimum 2DGAP: German evidence," Working Papers 297, ECINEQ, Society for the Study of Economic Inequality.
    8. Eisenhauer, Joseph G., 2011. "The rich, the poor, and the middle class: Thresholds and intensity indices," Research in Economics, Elsevier, vol. 65(4), pages 294-304, December.
    9. Michal Brzezinski, 2010. "Income Affluence in Poland," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 99(2), pages 285-299, November.
    10. James Foster & Joel Greer & Erik Thorbecke, 2010. "The Foster–Greer–Thorbecke (FGT) poverty measures: 25 years later," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(4), pages 491-524, December.
    11. Anthony B. Atkinson & Andrea Brandolini, 2011. "On the identification of the “middle class”," Working Papers 217, ECINEQ, Society for the Study of Economic Inequality.

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