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The individual poverty incidence of growth

Author

Listed:
  • Maria C. Lo Bue
  • Flaviana Palmisano
Abstract
The canonical approach to analysing the poverty impact of growth is based on the comparison of poverty before and after growth. Measurement tools that endorse this approach fail to capture the different experiences of poverty dynamics in the population: there can be groups of the population made poorer or non-poor made poor by growth. We propose an approach that allows measuring this individual poverty incidence of growth, and show how it relates to existing models.

Suggested Citation

  • Maria C. Lo Bue & Flaviana Palmisano, 2019. "The individual poverty incidence of growth," WIDER Working Paper Series wp-2019-41, World Institute for Development Economic Research (UNU-WIDER).
    • Handle: RePEc:unu:wpaper:wp-2019-41
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Stephan Klasen & Maria C. Lo Bue & Vincenzo Prete, 2020. "What's behind pro-poor growth?: The role of shocks and measurement error," WIDER Working Paper Series wp-2020-16, World Institute for Development Economic Research (UNU-WIDER).
    2. Flaviana Palmisano & Ida Petrillo, 2022. "A general rank‐dependent approach for distributional comparisons," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 24(2), pages 380-409, April.
    3. Tang, Kai & Li, Zhenshan & He, Chun, 2023. "Spatial distribution pattern and influencing factors of relative poverty in rural China," Innovation and Green Development, Elsevier, vol. 2(1).
    4. Olivier BARGAIN & Maria C. LO BUE & Flaviana PALMISANO, 2022. "Dynastic Measures of Intergenerational Mobility," Bordeaux Economics Working Papers 2022-21, Bordeaux School of Economics (BSE).
    5. Edwin Fourrier-Nicolai & Michel Lubrano, 2022. "Bayesian inference for non-anonymous Growth Incidence Curves using Bernstein polynomials: an application to academic wage dynamics," Working Papers hal-03880243, HAL.
    6. Fourrier-Nicolaï Edwin & Lubrano Michel, 2024. "Bayesian inference for non-anonymous growth incidence curves using Bernstein polynomials: an application to academic wage dynamics," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(2), pages 319-336, April.
    7. Flaviana Palmisano & Ida Petrillo, 2021. "A general rank-dependent approach for distributional comparisons," Working Papers 567, ECINEQ, Society for the Study of Economic Inequality.

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    More about this item

    Keywords

    Income mobility; Poverty Dynamics; Pro-poor; Growth; Social mobility;
    All these keywords.

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