Educational attainment, growth and poverty reduction within the MDG framework: simulations and costing for the Peruvian case
AbstractWe propose a model that accounts for the feedback between access to educational services, human capital accumulation and long-run GDP growth. With this framework, it is possible to simultaneously assess the achievement of Millennium Development Goal (MDG) education targets in terms of their impact on aggregate income growth and poverty incidence. We simulate our model using Peruvian data and different planner preferences regarding access to distinct education cycles. Results reveal that to attain a significant impact on GDP growth and poverty reduction, Peru needs to extend the original set of MDG indicators to account for access to higher education levels besides primary.
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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Journal of Economic Policy Reform.
Volume (Year): 12 (2009)
Issue (Month): 1 ()
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Other versions of this item:
- Gustavo Yamada & Juan Castro, 2009. "Educational attainment, growth and poverty reduction within the MDG framework: simulations and costing for the Peruvian case," Journal of Economic Policy Reform, Taylor and Francis Journals, vol. 12(1), pages 57-73.
- Gustavo Yamada & Juan F. Castro & Arlette Beltran & Maria A. Cardenas, 2008. "Educational Attainment, Growth and Poverty Reduction within the MDG Framework: Simulations and Costing for the Peruvian Case," Working Papers MPIA 2008-05, PEP-MPIA.
- Gustavo Yamada & Juan Castro & Arlette Beltrán & María Cárdenas, 2007. "Educational Attainment, Growth and Poverty Reduction within the MDG Framework: Simulations and Costing for the Peruvian Case," Working Papers 07-08, Departamento de Economía, Universidad del Pacífico, revised Feb 2007.
- O41 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
- I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Gustavo Yamada, 2006. "Retornos a la educación superior en el mercado laboral: ¿Vale la pena el esfuerzo?," Working Papers 06-13, Departamento de Economía, Universidad del Pacífico, revised Dec 2006.
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- Gustavo Yamada & Juan Castro, 2007. "Poverty, inequality, and social policies in Peru: As poor as it gets," Working Papers 07-06, Departamento de Economía, Universidad del Pacífico, revised Feb 2007.
- Francois Bourguignon & Francisco H. G. Ferreira & Nora Lusting, 2005. "The Microeconomics of Income Distribution Dynamics in East Asia and Latin America," World Bank Publications, The World Bank, number 14844, March.
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