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Macroeconomic Fundamentals of Poverty and Deprivation: an empirical study for developed countries

Author

Listed:
  • Duarte Guimarães

    (Faculdade de Economia, Universidade do Porto)

  • Ana Paula Ribeiro

    (CEF.UP. and Faculdade de Economia, Universidade do Porto)

  • Sandra Tavares Silva

    (CEF.UP. and Faculdade de Economia, Universidade do Porto)

Abstract

This study aims at providing a positive contribution to the literature on the macroeconomic determinants of poverty which is particularly relevant since this type of analysis is rather scarce (e.g., Agénor, 2005). After a brief review on the macroeconomic mechanisms of poverty and deprivation, we propose a composite poverty index that captures seven deprivation dimensions which, relying on the literature and data availability, are important to a comparative assessment of deprivation across developed countries. The sample includes 24 countries of the European Union, from 2005 to 2010. Moreover, relying on the macroeconomic transmission mechanisms that influence poverty, a panel data econometric approach is implemented in order to study the relation between the proposed composite index and macroeconomic variables. The analysis is also extended for the AROPE, the European headline indicator for poverty targeting. Results show that a multidimensional poverty concept is relevant for assessing deprivation in developed countries and that, in line with the relevant literature, the dynamics of some macroeconomic variables is crucial to deprivation performances. The latter result is robust as it holds for different measures of poverty.

Suggested Citation

  • Duarte Guimarães & Ana Paula Ribeiro & Sandra Tavares Silva, 2012. "Macroeconomic Fundamentals of Poverty and Deprivation: an empirical study for developed countries," FEP Working Papers 460, Universidade do Porto, Faculdade de Economia do Porto.
  • Handle: RePEc:por:fepwps:460
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    Cited by:

    1. Andreea Stoian & Rui Henrique Alves, 2012. "Can EU high indebted countries manage to fulfill fiscal sustainability? Some evidence from the solvency constraint," FEP Working Papers 464, Universidade do Porto, Faculdade de Economia do Porto.
    2. Isaac Doku, 2022. "Are Developing Countries Using Climate Funds for Poverty Alleviation? Evidence from Sub-Saharan Africa," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(6), pages 3026-3049, December.
    3. Ricardo Biscaia & Paula Sarmento, 2012. "Cost inefficiency and Optimal Market Structure in Spatial Cournot Discrimination," FEP Working Papers 462, Universidade do Porto, Faculdade de Economia do Porto.
    4. João Correia-da-Silva & Joana Pinho, 2012. "The profit-sharing rule that maximizes sustainability of cartel agreements," FEP Working Papers 463, Universidade do Porto, Faculdade de Economia do Porto.
    5. Abel L. Costa Fernandes & Paulo R. Mota, 2012. "Triffin’s Dilemma Again and the Efficient Level of U.S. Government Debt," FEP Working Papers 469, Universidade do Porto, Faculdade de Economia do Porto.
    6. Netta Achdut & Lea Achdut, 2022. "Joint Income-Wealth Poverty in a Cross-National Perspective: The Role of Country-Level Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(1), pages 499-541, November.
    7. Pedro Cosme Costa Vieira, 2012. "A low cost supercritical Nuclear + Coal 3.0 Gwe power plant," FEP Working Papers 461, Universidade do Porto, Faculdade de Economia do Porto.

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    More about this item

    Keywords

    Poverty; Deprivation; Macroeconomic transmission mechanisms; Poverty indexes; Panel data; European Union;
    All these keywords.

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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