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Latent class Markov models for addressing measurement problems in poverty dynamics

  • Giovanni Marano

    ()

  • Gianni Betti

    ()

  • Francesca Gagliardi

    ()

The traditional approach to poverty measurement utilises only monetary variables as indicators of individuals’ intensity of the state of deprivation, causing measurement errors of the phenomenon under investigation. Moreover, when adopted in a longitudinal context, this approach tends to overestimate transition poverty. Since poverty is not directly observable, a latent definition can be adopted: in such a conception is possible to use Markov chain models in their latent acceptation. This paper proposes to use Latent class Markov models which allow taking into account more observed (manifest) variables. We define those variables via monetary and non-monetary fuzzy indicators.

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Paper provided by Department of Economics, University of Siena in its series Department of Economics University of Siena with number 695.

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Date of creation: Apr 2014
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Handle: RePEc:usi:wpaper:695
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  1. Jean-Yves Duclos & Abdelkrim Araaryand & John Giles, 2006. "Chronic and Transient Poverty: Measurement and Estimation, with Evidence from China," Working Papers 35, ECINEQ, Society for the Study of Economic Inequality.
  2. Cesar Calvo & Stefan Dercon, 2007. "Chronic Poverty and All That: The Measurement of Poverty over Time," CSAE Working Paper Series 2007-04, Centre for the Study of African Economies, University of Oxford.
  3. Antonello Maruotti, 2011. "Mixed Hidden Markov Models for Longitudinal Data: An Overview," International Statistical Review, International Statistical Institute, vol. 79(3), pages 427-454, December.
  4. Walter Bossert & Satya R. Chakravarty & Conchita D’Ambrosio, 2008. "Poverty and Time," Working Papers 87, ECINEQ, Society for the Study of Economic Inequality.
    • BOSSERT, Walter & CHAKRAVARTY, Satya R. & D’AMBROSIO, Conchita, 2008. "Poverty and Time," Cahiers de recherche 2008-05, Universite de Montreal, Departement de sciences economiques.
    • BOSSERT, Walter & CHAKRAVARTY, Satya R. & D’AMBROSIO, Conchita, 2008. "Poverty and Time," Cahiers de recherche 05-2008, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    • Bossert, Walter & Chakravarty, Satya R. & d’Ambrosio, Conchita, 2010. "Poverty and Time," Working Paper Series wp2010-74, World Institute for Development Economic Research (UNU-WIDER).
  5. Gianni Betti & Francesca Gagliardi & Achille Lemmi & Vijay Verma, 2011. "Subnational indicators of poverty and deprivation in Europe: methodology and applications," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 5(1), pages 129-147.
  6. Sabina Alkire & Maria Emma Santos, 2010. "Acute Multidimensional Poverty: A New Index for Developing Countries," Human Development Research Papers (2009 to present) HDRP-2010-11, Human Development Report Office (HDRO), United Nations Development Programme (UNDP).
  7. Cesar Calvo & Stefan Dercon, 2007. "Chronic Poverty and All That: The Measurement of Poverty over Time," Economics Series Working Papers WPS/2007-04, University of Oxford, Department of Economics.
  8. Hulme, David & Shepherd, Andrew, 2003. "Conceptualizing Chronic Poverty," World Development, Elsevier, vol. 31(3), pages 403-423, March.
  9. Carlos Gradín & Coral del Río & Olga Cantó, 2010. "Measuring poverty accounting for time," Working Papers 1005, Universidade de Vigo, Departamento de Economía Aplicada.
  10. Michael Hoy & Buhong Zheng, 2008. "Measuring Lifetime Poverty," Working Papers 0814, University of Guelph, Department of Economics and Finance.
  11. A. Atkinson, 2003. "Multidimensional Deprivation: Contrasting Social Welfare and Counting Approaches," Journal of Economic Inequality, Springer, vol. 1(1), pages 51-65, April.
  12. Bourguignon, F. & Chakravarty, S.R., 1998. "The Measurement of Multidimensional Poverty," DELTA Working Papers 98-12, DELTA (Ecole normale supérieure).
  13. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 476-487, August.
  14. Daria Mendola & Annalisa Busetta, 2012. "The Importance Of Consecutive Spells Of Poverty: A Path-Dependent Index Of Longitudinal Poverty," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 58(2), pages 355-374, 06.
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