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Summarizing multiple deprivation indicators

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  • Cappellari, Lorenzo
  • Jenkins, Stephen P.

Abstract

Deprivation scales derived from multiple, typically dichotomous, indicators, are widely used to monitor households standards of living, and to complement measures of living standards based on income. We use an item response modelling (IRM) framework to address several issues concerning the derivation of deprivation scales in general and the use of sum-score deprivation indices in particular. Although we favour the IRM approach over the sum-score one in principle, we find in an illustrative analysis of basic lifestyle deprivation in Britain in the mid-1990s that both approaches provide very similar pictures of households circumstances. We conclude with further discussion of the relative merits of the two approaches and highlight some topics for future research.

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Bibliographic Info

Paper provided by Institute for Social and Economic Research in its series ISER Working Paper Series with number 2006-40.

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Date of creation: 01 Aug 2006
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Publication status: published
Handle: RePEc:ese:iserwp:2006-40

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Postal: Publications Office, Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ UK
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Web page: https://www.iser.essex.ac.uk/
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Postal: Publications Office, Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ UK
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References

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  1. Pasi Moisio, 2004. "A Latent Class Application to the Multidimensional Measurement of Poverty," Quality & Quantity: International Journal of Methodology, Springer, vol. 38(6), pages 703-717, December.
  2. Nolan, Brian & Whelan, Christopher T., 1996. "Resources, Deprivation, and Poverty," OUP Catalogue, Oxford University Press, number 9780198287858.
  3. Anders Skrondal & Sophia Rabe-Hesketh, 2007. "Latent Variable Modelling: A Survey," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics & Finnish Statistical Society & Norwegian Statistical Association & Swedish Statistical Association, vol. 34(4), pages 712-745.
  4. Susan E. Mayer & Christopher Jencks, 1989. "Poverty and the Distribution of Material Hardship," Journal of Human Resources, University of Wisconsin Press, vol. 24(1), pages 88-114.
  5. Lorenzo Cappellari & Stephen P. Jenkins, 2003. "Multivariate probit regression using simulated maximum likelihood," United Kingdom Stata Users' Group Meetings 2003 10, Stata Users Group.
  6. Tim Callan & Brian Nolan & Christopher Whelan, 1991. "Resources, Deprivation and the Measurement of Poverty. Published in Journal of Social Policy, 1993, Vol 22 No 2," Papers WP021, Economic and Social Research Institute (ESRI).
  7. Richard Layte & Brian Nolan & Christopher T. Whelan, 1999. "Targeting Poverty: Lessons From Monitoring Ireland's National Anti-Poverty Strategy. Published in Journal of Social Policy, Vol 29 No 4," Papers WP117, Economic and Social Research Institute (ESRI).
  8. Richard Spady, 2006. "Identification and estimation of latent attitudes and their behavioral implications," CeMMAP working papers CWP12/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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Cited by:
  1. FAYE Ousmane & BASCHIERI Angela & FALKINGHAM Jane & MUINDI Kanyiva, 2010. "Hunger and Food Insecurity in Nairobi's Slums: An assessment using IRT models'," CEPS/INSTEAD Working Paper Series 2010-33, CEPS/INSTEAD.
  2. Pieroni, Luca & d'Agostino, Giorgio & Bartolucci, Francesco, 2013. "Identifying corruption through latent class models: evidence from transition economies," MPRA Paper 43981, University Library of Munich, Germany.
  3. Joachim Merz & Tim Rathjen, 2009. "Time and Income Poverty: An Interdependent Multidimensional Poverty Approach with German Time Use Diary Data," SOEPpapers on Multidisciplinary Panel Data Research 215, DIW Berlin, The German Socio-Economic Panel (SOEP).
  4. Joachim Merz & Tim Rathjen, 2011. "Intensity of Time and Income Interdependent Multidimensional Poverty: Well-Being and Minimum 2DGAP ; German Evidence," SOEPpapers on Multidisciplinary Panel Data Research 411, DIW Berlin, The German Socio-Economic Panel (SOEP).
  5. Calvert, E. (Emma) & Brian Nolan, 2012. "GINI DP 68: Material Deprivation in Europe," GINI Discussion Papers 68, AIAS, Amsterdam Institute for Advanced Labour Studies.
  6. Raileanu Szeles, Monica, 2007. "The patterns and causes of social exclusion in Luxembourg," IRISS Working Paper Series 2007-09, IRISS at CEPS/INSTEAD.
  7. repec:ese:iserwp:2011-18 is not listed on IDEAS
  8. Raileanu Szeles, Monica & Fusco, Alessio, 2009. "Item response theory and the measurement of deprivation: Evidence from PSELL-3," IRISS Working Paper Series 2009-05, IRISS at CEPS/INSTEAD.
  9. repec:ese:iserwp:2009-34 is not listed on IDEAS
  10. Ayala, Luis & Navarro, Carolina, 2007. "The dynamics of housing deprivation," Journal of Housing Economics, Elsevier, vol. 16(1), pages 72-97, March.
  11. FUSCO Alessio, 2012. "The relationship between income and housing deprivation in Luxembourg: a longitudinal analysis," CEPS/INSTEAD Working Paper Series 2012-10, CEPS/INSTEAD.
  12. Mark Taylor, 2011. "Measuring Financial Capability and its Determinants Using Survey Data," Social Indicators Research, Springer, vol. 102(2), pages 297-314, June.
  13. Christopher Whelan & Brian Nolan & Bertrand Maitre, 2012. "GINI DP 40: Multidimensional Poverty Measurement in Europe: An Application of the Adjusted Headcount Approach," GINI Discussion Papers 40, AIAS, Amsterdam Institute for Advanced Labour Studies.
  14. Christopher T. Whelan & Brian Nolan & Bertrand Maître, 2012. "Multidimensional Poverty Measurement in Europe: An Application of the Adjusted Headcount Approach," Working Papers 201211, Geary Institute, University College Dublin.
  15. Joachim Merz & Henning Stolze, 2010. "Kumulation von Querschnitten - Evaluierung alternativer Konzepte für die kumulierten laufenden Wirtschaftsrechnungen 1999 bis 2003 im Vergleich zur Einkommens- und Verbrauchsstichprobe 2003," FFB-Discussionpaper 85, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
  16. Joachim Merz & Tim Rathjen, 2011. "Zeit- und Einkommensarmut von Freien Berufen und Unternehmern," FFB-Discussionpaper 89, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
  17. Taylor, Mark P. & Jenkins, Stephen P. & Sacker, Amanda, 2011. "Financial capability and psychological health," Journal of Economic Psychology, Elsevier, vol. 32(5), pages 710-723.
  18. Christopher T. Whelan & Bertrand Maître, 2010. "Welfare Regime and Social Class Variation in Poverty and Economic Vulnerability in Europe: An Analysis of EU-SILC," Working Papers 201010, Geary Institute, University College Dublin.
  19. Adam Carle & Kurt Bauman & Kathleen Short, 2009. "Assessing the Measurement and Structure of Material Hardship in the United States," Social Indicators Research, Springer, vol. 92(1), pages 35-51, May.

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