Skip to main content
Top
Published in: Empirical Economics 3/2015

01-11-2015

Comparative measures of multidimensional deprivation in the European Union

Authors: Gianni Betti, Francesca Gagliardi, Achille Lemmi, Vijay Verma

Published in: Empirical Economics | Issue 3/2015

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This paper proposes new fuzzy measures of monetary poverty and also non-monetary deprivation, providing an economic interpretation of the parameters involved. For non-monetary deprivation, the paper provides a step-by-step procedure: dimensions or groupings of initial items of deprivation are identified using explanatory and confirmatory factor analyses, and a weighting system is applied for the aggregation of individual items into the dimension they represent. The methodology is applied to European Union countries using European Union-Statistics on Income and Living Conditions (EU-SILC) data for the 2011 survey wave.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Appendix
Available only for authorised users
Footnotes
1
At macro-level see Anand and Sen (1997), while at individual level see Townsend (1979).
 
2
See also Cheli and Betti (1999) and Betti et al. (2002, 2004) for a longitudinal approach to poverty analysis using fuzzy sets, the book of Lemmi and Betti (2006) for further contributions on philosophy, mathematics, economics of the fuzzy set approach to poverty measurement, and the recent contributions of Belhadj (2011, 2012), Alkire and Foster (2011), Belhadj and Limam (2012) and Betti et al. (2013).
 
3
The equivalised income of a household is obtained by dividing its total disposable income by the household’s equivalent size computed by using an equivalence scale which takes into account the actual size and composition of the household.
 
4
Membership function (m.f.) is a quantitative specification of an individual’s or household’s degree of poverty or deprivation.
 
5
The exploratory factor analysis has identified 9 dimensions as follows: items \(b1\), \(b2\), \(b3\), \(b4\) and f1 in dimension 1; items \(g1\), \(g2\) and \(g3\) in dimension 2; items \(d3\), \(d4\) and \(d5\) in dimension 3; items \(c1\) and \(c2\) in dimension 4, items \(a1\), \(a2\), \(a3\), \(a4\) and \(a5\) in dimension 5, items \(h1\), \(h2\), \(i2\) and \(i2\) in dimension 6, items \(e1\), \(e2\) and \(e3\) in dimension 7, items \(g4\) and \(g5\) in dimension 8, and finally items \(d1\) and \(d2\) in dimension 9.
 
6
National income distributions have been pooled with weights in proportion to the population size for constructing the EU-level distribution.
 
7
The table has been ordered according to this ratio in order to illustrate the point being made.
 
8
Regional poverty rates have been computed from regional income distributions, but always using the national poverty line.
 
9
By the ‘level of poverty line’ is meant the population level to which the income distribution is pooled for the purpose of defining the poverty line. In fact, different levels for the poverty line can be seen as implying a different mix of ‘relative’ and ‘absolute’ measures. By relative measures is meant measures concerning purely the distribution of income, and by absolute measures those concerning income levels.
 
Literature
go back to reference Aassve A, Betti G, Mazzuco S, Mencarini L (2007) Marital disruption and economic well-being; a comparative analysis. J R Stat Soc Ser A 170(3):781–799CrossRef Aassve A, Betti G, Mazzuco S, Mencarini L (2007) Marital disruption and economic well-being; a comparative analysis. J R Stat Soc Ser A 170(3):781–799CrossRef
go back to reference Alkire S, Foster J (2011) Counting and multidimensional poverty measurement. J Public Econ 95(7–8):476–487CrossRef Alkire S, Foster J (2011) Counting and multidimensional poverty measurement. J Public Econ 95(7–8):476–487CrossRef
go back to reference Anand S, Sen AK (1997) Concepts of human development and poverty: a multidimensional perspective. Human Development Papers, United Nations Development Programme (UNDP), New York Anand S, Sen AK (1997) Concepts of human development and poverty: a multidimensional perspective. Human Development Papers, United Nations Development Programme (UNDP), New York
go back to reference Atkinson AB (2003) Multidimensional deprivation: contrasting social welfare and counting approaches. J Econ Inequal 1:51–65CrossRef Atkinson AB (2003) Multidimensional deprivation: contrasting social welfare and counting approaches. J Econ Inequal 1:51–65CrossRef
go back to reference Atkinson AB, Bourguignon F (1982) The comparison of multidimensional distributions of economic status. Rev Econ Stud 49:183–201CrossRef Atkinson AB, Bourguignon F (1982) The comparison of multidimensional distributions of economic status. Rev Econ Stud 49:183–201CrossRef
go back to reference Atkinson AB, Cantillon B, Marlier E, Nolan B (2002) Social indicators: The EU and social inclusion. Oxford University Press, OxfordCrossRef Atkinson AB, Cantillon B, Marlier E, Nolan B (2002) Social indicators: The EU and social inclusion. Oxford University Press, OxfordCrossRef
go back to reference Belhadj B (2011) A new fuzzy unidimensional poverty index from an information theory perspective. Empir Econ 40(3):687–704CrossRef Belhadj B (2011) A new fuzzy unidimensional poverty index from an information theory perspective. Empir Econ 40(3):687–704CrossRef
go back to reference Belhadj B (2012) New weighting scheme for the dimensions in multidimensional poverty indices. Econ Lett 116(3):304–307CrossRef Belhadj B (2012) New weighting scheme for the dimensions in multidimensional poverty indices. Econ Lett 116(3):304–307CrossRef
go back to reference Belhadj B, Limam M (2012) Unidimensional and multidimensional fuzzy poverty measures: new approach. Econ Model 29(4):995–1002CrossRef Belhadj B, Limam M (2012) Unidimensional and multidimensional fuzzy poverty measures: new approach. Econ Model 29(4):995–1002CrossRef
go back to reference Berthoud R (2004) Patterns of poverty across Europe. The Policy Press Berthoud R (2004) Patterns of poverty across Europe. The Policy Press
go back to reference Betti G, Çalik G, Karakas M (2013) Multidimensional and fuzzy measures of poverty and inequality in Turkey at National and Regional Level. In: Bérenger V, Bresson F (eds) Poverty and social exclusion around the Mediterranean Sea, economic studies in inequality, social exclusion and well-being, vol 9. Springer, New York, pp 89–108CrossRef Betti G, Çalik G, Karakas M (2013) Multidimensional and fuzzy measures of poverty and inequality in Turkey at National and Regional Level. In: Bérenger V, Bresson F (eds) Poverty and social exclusion around the Mediterranean Sea, economic studies in inequality, social exclusion and well-being, vol 9. Springer, New York, pp 89–108CrossRef
go back to reference Betti G, Cheli B, Cambini R (2004) A statistical model for the dynamics between two fuzzy states: theory and application to poverty analysis. Metron 62(3):391–411 Betti G, Cheli B, Cambini R (2004) A statistical model for the dynamics between two fuzzy states: theory and application to poverty analysis. Metron 62(3):391–411
go back to reference Betti G, Cheli B, Lemmi A, Verma V (2006) Multidimensional and longitudinal poverty: an integrated fuzzy approach. In: Lemmi A, Betti G (eds) Fuzzy set approach to multidimensional poverty measurement. Springer, New York, pp 111–137 Betti G, Cheli B, Lemmi A, Verma V (2006) Multidimensional and longitudinal poverty: an integrated fuzzy approach. In: Lemmi A, Betti G (eds) Fuzzy set approach to multidimensional poverty measurement. Springer, New York, pp 111–137
go back to reference Betti G, D’Agostino A, Neri L (2002) Panel regression models for measuring multidimensional poverty dynamics. Stat Methods Appl 11(3):359–369CrossRef Betti G, D’Agostino A, Neri L (2002) Panel regression models for measuring multidimensional poverty dynamics. Stat Methods Appl 11(3):359–369CrossRef
go back to reference Betti G, D’Agostino A, Neri L (2011) Educational mismatch of graduates: a multidimensional and fuzzy indicator. Soc Indic Res 103(3):465–480CrossRef Betti G, D’Agostino A, Neri L (2011) Educational mismatch of graduates: a multidimensional and fuzzy indicator. Soc Indic Res 103(3):465–480CrossRef
go back to reference Betti G, Gagliardi F, Lemmi A, Verma V (2012) Sub-national indicators of poverty and deprivation in Europe: methodology and applications. Camb J Reg Econ Soc 5(1):149–162CrossRef Betti G, Gagliardi F, Lemmi A, Verma V (2012) Sub-national indicators of poverty and deprivation in Europe: methodology and applications. Camb J Reg Econ Soc 5(1):149–162CrossRef
go back to reference Betti G, Verma V (1999) Measuring the degree of poverty in a dynamic and comparative context: a multi-dimensional approach using fuzzy set theory. In: Proceedings ICCS-VI, vol 11, Lahore, Pakistan, August 27–31, pp 289–301 Betti G, Verma V (1999) Measuring the degree of poverty in a dynamic and comparative context: a multi-dimensional approach using fuzzy set theory. In: Proceedings ICCS-VI, vol 11, Lahore, Pakistan, August 27–31, pp 289–301
go back to reference Betti G, Verma V (2008) Fuzzy measures of the incidence of relative poverty and deprivation: a multi-dimensional perspective. Stat Methods Appl 17(2):225–250CrossRef Betti G, Verma V (2008) Fuzzy measures of the incidence of relative poverty and deprivation: a multi-dimensional perspective. Stat Methods Appl 17(2):225–250CrossRef
go back to reference Bourguignon F, Chakravarty SR (2003) The measurement of multidimensional poverty. J Econ Inequal 1:25–49CrossRef Bourguignon F, Chakravarty SR (2003) The measurement of multidimensional poverty. J Econ Inequal 1:25–49CrossRef
go back to reference Cerioli A, Zani S (1990) A fuzzy approach to the measurement of poverty. In: Dagum C, Zenga M (eds) Income and wealth distribution, inequality and poverty. Springer, Berlin, pp 272–284CrossRef Cerioli A, Zani S (1990) A fuzzy approach to the measurement of poverty. In: Dagum C, Zenga M (eds) Income and wealth distribution, inequality and poverty. Springer, Berlin, pp 272–284CrossRef
go back to reference Chakravarty SR, Mukherjee D, Ranade R (1998) On the family of subgroup and factor decomposable measures of multidimensional poverty. Res Econ Inequal 8:175–194 Chakravarty SR, Mukherjee D, Ranade R (1998) On the family of subgroup and factor decomposable measures of multidimensional poverty. Res Econ Inequal 8:175–194
go back to reference Cheli B, Betti G (1999) Fuzzy analysis of poverty dynamics on an Italian pseudo panel, 1985–1994. Metron 57:83–104 Cheli B, Betti G (1999) Fuzzy analysis of poverty dynamics on an Italian pseudo panel, 1985–1994. Metron 57:83–104
go back to reference Cheli B, Lemmi A (1995) A totally fuzzy and relative approach to the multidimensional analysis of poverty. Econ Notes 24:115–134 Cheli B, Lemmi A (1995) A totally fuzzy and relative approach to the multidimensional analysis of poverty. Econ Notes 24:115–134
go back to reference Duclos JY, Sahn D, Younger SD (2001) Robust multidimensional poverty comparisons. Université Laval, Laval Duclos JY, Sahn D, Younger SD (2001) Robust multidimensional poverty comparisons. Université Laval, Laval
go back to reference European Commission (2010) Europe 2020: a European Strategy for smart, sustainable and inclusive growth. Communication No. COM(2010) 2020, European Commission, Brussels European Commission (2010) Europe 2020: a European Strategy for smart, sustainable and inclusive growth. Communication No. COM(2010) 2020, European Commission, Brussels
go back to reference Eurostat (2002) Income, poverty and social exclusion: 2nd Report. Office for Official Publications of the European Communities, Luxembourg Eurostat (2002) Income, poverty and social exclusion: 2nd Report. Office for Official Publications of the European Communities, Luxembourg
go back to reference Filippone A, Cheli B, D’Agostino A (2001) Addressing the interpretation and the aggregation problems in totally fuzzy and relative poverty measures. ISER Working Paper Series number 2001–22, University of Essex Filippone A, Cheli B, D’Agostino A (2001) Addressing the interpretation and the aggregation problems in totally fuzzy and relative poverty measures. ISER Working Paper Series number 2001–22, University of Essex
go back to reference Fusco A, Guio AC, Marlier E (2011) Income poverty and material deprivation in European countries. CEPS/INSTEAD Working Paper Series 2011–04, CEPS/INSTEAD Fusco A, Guio AC, Marlier E (2011) Income poverty and material deprivation in European countries. CEPS/INSTEAD Working Paper Series 2011–04, CEPS/INSTEAD
go back to reference Guio AC (2009) What can be learned from deprivation indicators in Europe? Eurostat methodologies and working paper, Eurostat, Luxembourg Guio AC (2009) What can be learned from deprivation indicators in Europe? Eurostat methodologies and working paper, Eurostat, Luxembourg
go back to reference Klir GJ, Yuan B (1995) Fuzzy sets and fuzzy logic. New Jersey, Prentice Hall Klir GJ, Yuan B (1995) Fuzzy sets and fuzzy logic. New Jersey, Prentice Hall
go back to reference Lemmi A, Betti G (eds) (2006) Fuzzy set approach to multidimensional poverty measurement. Springer, New York Lemmi A, Betti G (eds) (2006) Fuzzy set approach to multidimensional poverty measurement. Springer, New York
go back to reference Maasoumi E (1986) The measurement and decomposition of multidimensional inequality. Econometrica 54:771–779CrossRef Maasoumi E (1986) The measurement and decomposition of multidimensional inequality. Econometrica 54:771–779CrossRef
go back to reference Sen AK (1999) Development as freedom. Oxford University Press, Oxford Sen AK (1999) Development as freedom. Oxford University Press, Oxford
go back to reference Townsend P (1979) Poverty in the United Kingdom. Allen Lane, Harmondsworth Townsend P (1979) Poverty in the United Kingdom. Allen Lane, Harmondsworth
go back to reference Tsui K (1985) Multidimensional generalisation of the relative and absolute inequality indices: the Atkinson–Kolm–Sen approach. J Econ Theory 67:251–265CrossRef Tsui K (1985) Multidimensional generalisation of the relative and absolute inequality indices: the Atkinson–Kolm–Sen approach. J Econ Theory 67:251–265CrossRef
go back to reference Verma V, Betti G (2011) Taylor linearization sampling errors and design effects for poverty measures and other complex statistics. J Appl Stat 38(8):1549–1576CrossRef Verma V, Betti G (2011) Taylor linearization sampling errors and design effects for poverty measures and other complex statistics. J Appl Stat 38(8):1549–1576CrossRef
go back to reference Whelan CT, Layte R, Maitre B, Nolan B (2001) Income, deprivation and economic strain: an analysis of the European Community Household Panel. Eur Sociol Rev 17:357–372CrossRef Whelan CT, Layte R, Maitre B, Nolan B (2001) Income, deprivation and economic strain: an analysis of the European Community Household Panel. Eur Sociol Rev 17:357–372CrossRef
Metadata
Title
Comparative measures of multidimensional deprivation in the European Union
Authors
Gianni Betti
Francesca Gagliardi
Achille Lemmi
Vijay Verma
Publication date
01-11-2015
Publisher
Springer Berlin Heidelberg
Published in
Empirical Economics / Issue 3/2015
Print ISSN: 0377-7332
Electronic ISSN: 1435-8921
DOI
https://doi.org/10.1007/s00181-014-0904-9

Other articles of this Issue 3/2015

Empirical Economics 3/2015 Go to the issue

Premium Partner