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Abstract

A new multivariate approach is introduced to identify the middle class of a society and to measure its possible decline. The middle class is a properly defined central region in attribute space that contains a fixed portion of the population. The decline of the middle class is measured by comparing the dispersion of the middle class. The use of minimum volume ellipsoids and different notions of central regions is discussed in one and several dimensions. An empirical illustration is given using German data on income and wealth.

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Bibliographic Info

Paper provided by Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali in its series Working Papers with number 333.

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Length: 23
Date of creation: Nov 2009
Date of revision:
Handle: RePEc:anc:wpaper:333

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Related research

Keywords: EVS; German Sample Survey of Income and Expen; central region; middle class; minimum volume ellipsoid; zonoid region;

Find related papers by JEL classification:

• D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
• D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
• I30 - Health, Education, and Welfare - - Welfare and Poverty - - - General

This paper has been announced in the following NEP Reports:

• NEP-ALL-2009-11-07 (All new papers)

References

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1. Croux, Christophe & Haesbroeck, G & Rousseeuw, Peter, 2002. "Location adjustment for the minimum volume ellipsoid estimator," Open Access publications from Katholieke Universiteit Leuven urn:hdl:123456789/85738, Katholieke Universiteit Leuven.
2. François Bourguignon & Satya Chakravarty, 2003. "The Measurement of Multidimensional Poverty," Journal of Economic Inequality, Springer, vol. 1(1), pages 25-49, April.
   
   • Bourguignon, F. & Chakravarty, S.R., 1998. "The Measurement of Multidimensional Poverty," DELTA Working Papers 98-12, DELTA (Ecole normale supérieure).
3. Mosler, Karl & Lange, Tatjana & Bazovkin, Pavel, 2009. "Computing zonoid trimmed regions of dimension d>2," Computational Statistics & Data Analysis, Elsevier, vol. 53(7), pages 2500-2510, May.
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7. Koshevoy, G. A. & Mosler, K., 1997. "Multivariate Gini Indices," Journal of Multivariate Analysis, Elsevier, vol. 60(2), pages 252-276, February.
   
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9. Zheng, Buhong, 2000. " Poverty Orderings," Journal of Economic Surveys, Wiley Blackwell, vol. 14(4), pages 427-66, September.
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13. Edward N. Wolff, 1998. "Recent Trends in the Size Distribution of Household Wealth," Journal of Economic Perspectives, American Economic Association, vol. 12(3), pages 131-150, Summer.
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15. Charles M. Beach, 1989. "Review: Dollars and Dreams: A Reduced Middle Class? Alternative Explanations," Journal of Human Resources, University of Wisconsin Press, vol. 24(1), pages 162-193.

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Citations

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Cited by:

1. Ugo FRATESI, 2010. "The National and International Effects;of Regional Policy Choices: Agglomeration Economies, Peripherality and Territorial Characteristics," Working Papers 344, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
2. Eralba CELA & Tineke FOKKEMA & Elena AMBROSETTI, 2012. "Links Between Transnationalism Integration and Duration of Residence: The Case of eastern European Migrants in Italy," Working Papers 386, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
3. Durr-e-Nayab, 2011. "Estimating the Middle Class in Pakistan," PIDE-Working Papers 2011:77, Pakistan Institute of Development Economics.
   
   • Durr-e-Nayab, 2011. "Estimating the Middle Class in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 50(1), pages 1-28.
4. Fabio FIORILLO & Agnese SACCHI, 2010. "I Want to Free-ride. An Opportunistic View on Decentralization Versus Centralization Problem," Working Papers 346, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
5. Nuno Crespo & Sandrina B. Moreira & Nádia Simões, 2012. "An Integrated Approach for the Measurement of Inequality, Poverty and Richness," Working Papers Series 2 12-03, ISCTE-IUL, Business Research Unit (BRU-IUL).
   
   • 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.
6. Simone LENZU & Gabriele TEDESCHI, 2012. "Systemic risk on different interbank network topologies," Working Papers 375, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
   
   • Lenzu, Simone & Tedeschi, Gabriele, 2012. "Systemic risk on different interbank network topologies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(18), pages 4331-4341.
7. Ruggero GRILLI & Gabriele TEDESCHI & Mauro GALLEGATI, 2012. "Markets connectivity and financial contagion," Working Papers 382, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
8. Luca RICCETTI, 2011. "A Copula-GARCH Model for Macro Asset Allocation of a Portfolio with Commodities: an Out-of-Sample Analysis," Working Papers 355, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
9. 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.
10. Alberto RUSSO, 2012. "A Stochastic Model of Wealth Accumulation with Class Division," Working Papers 373, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
11. Elena AMBROSETTI & Eralba CELA & Tineke FOKKEMA, 2011. "The Remittances Behaviour of the Second Generation in Europe: Altruism or Self-Interest?," Working Papers 368, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
12. Alessandro STERLACCHINI, 2012. "Patent Oppositions as Competitive Tools: An Analysis of the Major Players in the European Market of White Goods," Working Papers 374, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
13. Luca RICCETTI, 2010. "Minimum Tracking Error Volatility," Working Papers 340, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

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