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Poverty, Vulnerability and the Middle Class in Latin America

Author

Listed:
  • Stampini, Marco
  • Robles, Marcos
  • Sáenz, Mayra
  • Ibarrarán, Pablo
  • Medellín, Nadin

Abstract

Between 2000 and 2013, Latin America has considerably reduced poverty (from 46.3% to 29.7% of the population). In this paper, we use synthetic panels to show that, despite progress, the region remains characterized by substantial vulnerability that also affects the rising middle-class. More specifically, we find that 65% of those with daily income between $4 and 10, and 14% of those in the middle-class, experience poverty at least once over a ten-year period. Furthermore, chronic poverty remains widespread (representing 91% and 50% of extreme and moderate poverty respectively). Differences between rural and urban areas are substantial. Urban areas, which are now home to most moderate poor and vulnerable, are characterized by higher income mobility, particularly upward mobility. These findings have important implications for the design of effective social safety nets. These need to mix long term interventions for the chronic poor, especially in rural areas, with flexible short-term support to a large group of transient poor and vulnerable, particularly in urban areas.

Suggested Citation

  • Stampini, Marco & Robles, Marcos & Sáenz, Mayra & Ibarrarán, Pablo & Medellín, Nadin, 2015. "Poverty, Vulnerability and the Middle Class in Latin America," IDB Publications (Working Papers) 6878, Inter-American Development Bank.
  • Handle: RePEc:idb:brikps:6878
    DOI: http://dx.doi.org/10.18235/0012281
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    Cited by:

    1. Sehnbruch, Kirsten & González, Pablo & Apablaza, Mauricio & Méndez, Rocío & Arriagada, Verónica, 2020. "The Quality of Employment (QoE) in nine Latin American countries: A multidimensional perspective," World Development, Elsevier, vol. 127(C).
    2. María José Roa & Ignacio Garrón & Jonathan Barboza, 2018. "The Role of Cognitive Characteristics, Personality Traits, and Financial Literacy in Financial Decision Making," Investigación Conjunta-Joint Research, in: María José Roa García & Diana Mejía (ed.), Financial Decisions of Households and Financial Inclusion: Evidence for Latin America and the Caribbean, edition 1, volume 1, chapter 7, pages 193-244, Centro de Estudios Monetarios Latinoamericanos, CEMLA.
    3. Diego Winkelried & Bruno Escobar, 2022. "Declining inequality in Latin America? Robustness checks for Peru," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 223-243, March.
    4. Sébastien CARRERE & Matthieu CLEMENT & François COMBARNOUS & Gabriel KESSLER & Eric ROUGIER & Ariel WILKIS, 2022. "The middle class in Argentina: dynamics, characteristics and implications for public policies," Working Paper 83de5468-cd86-4702-a4a8-6, Agence française de développement.
    5. Marcela Ibanez & Sebastian O. Schneider, 2023. "Income Risk, Precautionary Saving, and Loss Aversion – An Empirical Test," Discussion Paper Series of the Max Planck Institute for Behavioral Economics 2023_06, Max Planck Institute for Behavioral Economics.
    6. Joaquín Prieto, 2024. "Degrees of vulnerability to poverty: a low-income dynamics approach for Chile," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 22(4), pages 1069-1107, December.
    7. Marcela Ibanez & Sebastian O. Schneider, 2021. "Income Risk, Precautionary Saving, and Loss Aversion – An Empirical Test," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2021_06, Max Planck Institute for Research on Collective Goods.
    8. Prieto Suarez, Joaquin, 2023. "Degrees of vulnerability to poverty: a low-income dynamics approach for Chile," LSE Research Online Documents on Economics 121993, London School of Economics and Political Science, LSE Library.
    9. Joaquín Prieto, 2024. "Degrees of vulnerability to poverty: A low-income dynamics approach for Chile," Working Papers 666, ECINEQ, Society for the Study of Economic Inequality.
    10. Nelson R. Ramírez- Rondán & Marco E. Terrones & Diego Winkelried, 2020. "Equalizing growth: The case of Peru," Working Papers 176, Peruvian Economic Association.
    11. Jean-Philippe BERROU & Matthieu CLÉMENT & François COMBARNOUS & Dominique DARBON & Yves-André FAURE & Éric ROUGIER, 2019. "L’essor des classes moyennes dans les pays en développement et émergents : une étude comparative des enjeux d’identification, de caractérisation et de politiques publiques," Working Paper d25da1cf-d9d8-4336-9930-b, Agence française de développement.
    12. María Edo & Walter Sosa Escudero & Marcela Svarc, 2021. "A multidimensional approach to measuring the middle class," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(1), pages 139-162, March.
    13. Liu, Yulin & Li, Hebo & Wang, Cheng, 2025. "Digital financial inclusion and middle-income group vulnerability alleviation: Evidence from China," China Economic Review, Elsevier, vol. 89(C).
    14. Werner Peña, 2017. "What are the determinants of chronic and transient poverty in El Salvador?," Global Development Institute Working Paper Series 112017, GDI, The University of Manchester.
    15. Lyons, Angela C. & Kass-Hanna, Josephine & Fava, Ana, 2022. "Fintech development and savings, borrowing, and remittances: A comparative study of emerging economies," Emerging Markets Review, Elsevier, vol. 51(PA).
    16. Ivonne Acevedo & Francesca Castellani & María José Cota & Giulia Lotti & Miguel Székely, 2024. "Higher inequality in Latin America: a collateral effect of the pandemic," International Review of Applied Economics, Taylor & Francis Journals, vol. 38(3), pages 280-304, May.

    More about this item

    Keywords

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    JEL classification:

    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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