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Panel regression models for measuring multidimensional poverty dynamics

Author

Listed:
  • Gianni Betti

    (Università di Siena)

  • Antonella D’Agostino

    (Università di Napoli “Parthenope”)

  • Laura Neri

    (Università di Siena)

Abstract

This work concerns the study of poverty dynamics and the analysis of the influencing socio-demographic factors. A fuzzy and multidimensional approach has been chosen in order to define two different poverty measures. A panel regression model has been estimated and particular attention has been paid to the treatment of the unobservable heterogeneity among longitudinal units. The specified model combines autoregression with variance components. The empirical analysis has been conducted using the data set of the British Household Panel Survey (BHPS) from 1991 to 1997.

Suggested Citation

  • Gianni Betti & Antonella D’Agostino & Laura Neri, 2002. "Panel regression models for measuring multidimensional poverty dynamics," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 11(3), pages 359-369, October.
    • Handle: RePEc:spr:stmapp:v:11:y:2002:i:3:d:10.1007_bf02509832
    DOI: 10.1007/BF02509832
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Rolf Aaberge & Andrea Brandolini, 2014. "Multidimensional poverty and inequality," Discussion Papers 792, Statistics Norway, Research Department.
    2. Sung-Geun Kim, 2015. "Fuzzy Multidimensional Poverty Measurement: An Analysis of Statistical Behaviors," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 120(3), pages 635-667, February.
    3. Anh Thu Quang Pham & Pundarik Mukhopadhaya & Ha Vu, 2021. "Estimating poverty and vulnerability to monetary and non-monetary poverty: the case of Vietnam," Empirical Economics, Springer, vol. 61(6), pages 3125-3177, December.
    4. Gianni Betti & Francesca Gagliardi & Achille Lemmi & Vijay Verma, 2015. "Comparative measures of multidimensional deprivation in the European Union," Empirical Economics, Springer, vol. 49(3), pages 1071-1100, November.
    5. Gianni Betti & Francesca Gagliardi & Salvucci Vincenzo, 2014. "Multidimensional And Fuzzy Measures Of Poverty At Regional Level In Mozambique," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 114-128.
    6. Antonio Acconcia & Maria Carannante & Michelangelo Misuraca & Germana Scepi, 2020. "Measuring Vulnerability to Poverty with Latent Transition Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(1), pages 1-31, August.
    7. Gianni Betti & Bruno Cheli & Riccardo Cambini, 2004. "A statistical model for the dynamics between two fuzzy states: theory and an application to poverty analysis," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3), pages 391-411.
    8. Vijay Verma & Gianni Betti & Francesca Gagliardi, 2017. "Fuzzy Measures of Longitudinal Poverty in a Comparative Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(2), pages 435-454, January.
    9. Cecilia Albert Verdú & María A. Davia Rodríguez, 2009. "Monetary poverty, education exclusion and material deprivation amongst youth in Spain," Alcamentos 0903, Universidad de Alcalá, Departamento de Economía..

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