IDEAS home Printed from https://ideas.repec.org/p/pai/wpaper/07-08.html
   My bibliography  Save this paper

Educational Attainment, Growth and Poverty Reduction within the MDG Framework: Simulations and Costing for the Peruvian Case

Author

Listed:
  • Gustavo Yamada

    (Universidad del Pacífico)

  • Juan F. Castro

    (Universidad del Pacífico)

  • Arlette Beltrán

    (Universidad del Pacífico)

  • María A. Cárdenas

    (Universidad del Pacífico)

Abstract

We propose a model that accounts for the potential feedback between schooling performance, human capital accumulation and long run GDP growth, and links these results with poverty incidence. Our simulation exercise takes into account targets for education indicators and GDP growth itself (as arguments in our planner’s loss function) and provides two conclusions: (i) with additional funds which amount to 1% of GDP each year, public intervention could add, by year 2015, an extra 0.89 and 1.80 percentage points in terms of long-run GDP growth and permanent reduction in poverty incidence, respectively; and (ii) in order to engineer an intervention in the educational sector so as to transfer households the necessary assets to attain a larger income generation potential in the long run, we need to extend the original set of MDG indicators to account for access to higher educational levels besides primary.

Suggested Citation

  • Gustavo Yamada & Juan F. Castro & Arlette Beltrán & María A. Cárdenas, 2007. "Educational Attainment, Growth and Poverty Reduction within the MDG Framework: Simulations and Costing for the Peruvian Case," Working Papers 07-08, Centro de Investigación, Universidad del Pacífico.
  • Handle: RePEc:pai:wpaper:07-08
    as

    Download full text from publisher

    File URL: http://repositorio.up.edu.pe/bitstream/handle/11354/318/DD0708.pdf?sequence=1&isAllowed=y
    File Function: Application/pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Gustavo Yamada & Juan Francisco Castro, 2007. "Poverty, inequality, and social policies in Peru: As poor as it gets," Working Papers 07-06, Centro de Investigación, Universidad del Pacífico.
    2. Gustavo Yamada, 2006. "Retornos a la educación superior en el mercado laboral: ¿Vale la pena el esfuerzo?," Working Papers 06-13, Centro de Investigación, Universidad del Pacífico.
    3. Barro, Robert J & Lee, Jong-Wha, 2001. "International Data on Educational Attainment: Updates and Implications," Oxford Economic Papers, Oxford University Press, vol. 53(3), pages 541-563, July.
    4. Juan F. Castro & Gustavo Yamada, 2006. "Evaluación de estrategias de desarrollo para alcanzar los objetivos del milenio en América Latina," Working Papers 06-11, Centro de Investigación, Universidad del Pacífico.
    5. Francois Bourguignon & Francisco H.G. Ferreira & Nora Lustig, 2005. "The Microeconomics of Income Distribution Dynamics in East Asia and Latin America," World Bank Publications, The World Bank, number 14844.
    6. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marouani, Mohamed A. & Nilsson, Björn, 2016. "The labor market effects of skill-biased technological change in Malaysia," Economic Modelling, Elsevier, vol. 57(C), pages 55-75.
    2. Björn Nilsson & Mohamed Ali Marouani, 2015. "The Labor Market Effects of Skillbiased Technilogical Change in Malasya," Working Papers 20150006, Université Paris 1 Panthéon Sorbonne, UMR Développement et Sociétés.

    More about this item

    Keywords

    Millenium Development Goals; education; human capital; GDP growth; poverty; Peru;

    JEL classification:

    • O41 - Economic Development, Innovation, 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; Probabilities
    • 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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pai:wpaper:07-08. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Giit). General contact details of provider: http://edirc.repec.org/data/deiuppe.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.