IDEAS home Printed from https://ideas.repec.org/p/pai/wpaper/12-02.html
   My bibliography  Save this paper

“Convexification” and “deconvexification” of the peruvian wage profile: a tale of declining education quality

Author

Listed:
  • Juan F. Castro

    (Universidad del Pacífico)

  • Gustavo Yamada

    (Universidad del Pacífico)

Abstract

Peruvian average wage profile with respect to schooling is convex. Returns to higher education are around nine percentage points larger than returns to basic education. We explore two possible explanations for this phenomenon: a composition effect driven by differences in individual ability and heterogeneous education quality. We use the theoretical models developed in Card (1994) and Card and Krueger (1996) to analyze the effects that individual ability and education quality can have on the observed relationship between wages and schooling. We test the implications of these models using Peruvian data from a novel survey that includes measures of cognitive skills. We do not find evidence of increasing returns by ability. Instead, empirical results are consistent with the predictions of a model of endogenous schooling with heterogeneous education quality. Evidence suggests that the Peruvian convex wage schedule is the result of two superimposed wage profiles: one corresponding to a low quality basic education system and, the other, to a higher education system with better quality. Declining education quality at basic and higher education, thus, appear to have a role when explaining the “convexification” and recent “deconvexification” of the wage profile, respectively.

Suggested Citation

  • Juan F. Castro & Gustavo Yamada, 2012. "“Convexification” and “deconvexification” of the peruvian wage profile: a tale of declining education quality," Working Papers 12-02, Centro de Investigación, Universidad del Pacífico.
  • Handle: RePEc:pai:wpaper:12-02
    as

    Download full text from publisher

    File URL: http://repositorio.up.edu.pe/bitstream/handle/11354/381/DD1202.pdf?sequence=1&isAllowed=y
    File Function: Application/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:fth:prinin:357 is not listed on IDEAS
    2. David Card, 1994. "Earnings, Schooling, and Ability Revisited," Working Papers 710, Princeton University, Department of Economics, Industrial Relations Section..
    3. Martin Nordin & Dan-Olof Rooth, 2014. "Increasing Returns to Schooling by Ability? A Comparison between the USA and Sweden," Manchester School, University of Manchester, vol. 82, pages 1-20, December.
    4. Juan F. Castro & Gustavo Yamada & Omar Arias, 2011. "Higher education decisions in Peru : on the role of financial constraints, skills, and family background," Working Papers 11-14, 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 - Books, The World Bank Group, number 14844, March.
    6. David Card & Alan B. Krueger, 1996. "Labor Market Effects of School Quality: Theory and Evidence," Working Papers 736, Princeton University, Department of Economics, Industrial Relations Section..
    7. Gustavo Yamada & Juan F. Castro, 2010. "Educación superior e ingresos laborales: estimaciones paramétricas y no paramétricas de la rentabilidad por niveles y carreras en el Perú," Working Papers 10-06, Centro de Investigación, Universidad del Pacífico.
    8. Juan F. Castro & Eduardo Morón & Cynthia Sanborn, 2009. "Helping Reforms Deliver Inclusive Growth in Peru," Chapters of Books, in: L. Rojas-Suarez (ed.),Growing Pains in Latin America, edition 1, volume 1, chapter 1, pages 236-293, Fondo Editorial, Universidad del Pacífico.
    9. Yamada, Gustavo, 2009. "Rendimientos de la educación superior en el mercado laboral. El caso de Perú," El Trimestre Económico, Fondo de Cultura Económica, vol. 0(302), pages 485-511, abril-jun.
    10. Clifford Clogg & James Shockey, 1984. "Mismatch between occupation and schooling: A prevalence measure, recent trends and demographic analysis," Demography, Springer;Population Association of America (PAA), vol. 21(2), pages 235-257, May.
    11. Flavio Cunha & James J. Heckman, 2008. "Formulating, Identifying and Estimating the Technology of Cognitive and Noncognitive Skill Formation," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    12. repec:rim:rimwps:30-08 is not listed on IDEAS
    13. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    14. David Card & Alan B. Krueger, 1996. "Labor Market Effects of School Quality: Theory and Evidence," Working Papers 736, Princeton University, Department of Economics, Industrial Relations Section..
    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. Nora Lustig & Luis F. Lopez-Calva & Eduardo Ortiz-Juarez & Célestin Monga, 2016. "Deconstructing the Decline in Inequality in Latin America," International Economic Association Series, in: Kaushik Basu & Joseph E. Stiglitz (ed.), Inequality and Growth: Patterns and Policy, chapter 7, pages 212-247, Palgrave Macmillan.
    2. Robles, Adrian & Robles, Marcos, 2016. "Changes in Welfare with a Heterogeneous Workforce: The Case of Peru," IDB Publications (Working Papers) 7507, Inter-American Development Bank.
    3. Peter Paz & Carlos Urrutia, 2015. "Economic Growth and Wage Stagnation in Peru: 1998–2012," Review of Development Economics, Wiley Blackwell, vol. 19(2), pages 328-345, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Daniela Del Boca & Anna Laura Mancini, 2013. "Parental time and child outcomes. Does gender matter?," Questioni di Economia e Finanza (Occasional Papers) 187, Bank of Italy, Economic Research and International Relations Area.
    2. Hans J. Baumgartner, 2003. "Are There Any Class Size Effects On Early Career Earnings In West Germany?," HEW 0305004, University Library of Munich, Germany, revised 05 Nov 2003.
    3. Ammermuller, Andreas & Heijke, Hans & Wo[ss]mann, Ludger, 2005. "Schooling quality in Eastern Europe: Educational production during transition," Economics of Education Review, Elsevier, vol. 24(5), pages 579-599, October.
    4. Petra E. Todd & Kenneth I. Wolpin, 2007. "The Production of Cognitive Achievement in Children: Home, School, and Racial Test Score Gaps," Journal of Human Capital, University of Chicago Press, vol. 1(1), pages 91-136.
    5. Juan F. Castro & Gustavo Yamada & Omar Arias, 2011. "Higher education decisions in Peru : on the role of financial constraints, skills, and family background," Working Papers 11-14, Centro de Investigación, Universidad del Pacífico.
    6. Janet Currie & Duncan Thomas, 1999. "Early Test Scores, Socioeconomic Status and Future Outcomes," NBER Working Papers 6943, National Bureau of Economic Research, Inc.
    7. David Card & Alan B. Krueger, 1996. "School Resources and Student Outcomes: An Overview of the Literature and New Evidence from North and South Carolina," Journal of Economic Perspectives, American Economic Association, vol. 10(4), pages 31-50, Fall.
    8. Victor Iturra & Mauricio Sarrias, 2023. "Amenities and individual heterogeneity in the return to schooling," Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-15, December.
    9. Martin Browning & Eskil Heinesen, 2014. "Study versus television," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 3(1), pages 1-16, December.
    10. Marta Favara & Catherine Porter & Tassew Woldehanna, 2019. "Smarter through social protection? Evaluating the impact of Ethiopia’s safety-net on child cognitive abilities," Oxford Development Studies, Taylor & Francis Journals, vol. 47(1), pages 79-96, January.
    11. Anne Case & Motohiro Yogo, 1999. "Does School Quality Matter? Returns to Education and the Characteristics of Schools in South Africa," Working Papers 219, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    12. Elisabetta De Cao, 2015. "The Height Production Function from Birth to Age Two," Journal of Human Capital, University of Chicago Press, vol. 9(3), pages 329-363.
    13. Goel, Deepti & Barooah, Bidisha, 2018. "Drivers of Student Performance: Evidence from Higher Secondary Public Schools in Delhi," GLO Discussion Paper Series 231, Global Labor Organization (GLO).
    14. Jere R. Behrman & John Hoddinott & John A. Maluccio, & Erica Soler-Hampejsek & Emily L. Behrman & Reynaldo Martorell & Manuel Ramirez-Zea & Aryeh D. Stein, 2006. "What Determines Adult Cognitive Skills? Impacts of Pre-Schooling, Schooling and Post-Schooling Experiences in Guatemala," PIER Working Paper Archive 06-027, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    15. Omar Arias & Gustavo Yamada & Luis Tejerina, 2004. "Education, family background and racial earnings inequality in Brazil," International Journal of Manpower, Emerald Group Publishing Limited, vol. 25(3/4), pages 355-374, April.
    16. Michael P Keane & Sonya Krutikova & Timothy Neal, 2018. "The impact of child work on cognitive development: results from four Low to Middle Income countries," IFS Working Papers W18/29, Institute for Fiscal Studies.
    17. Borga, Liyousew G. & Münich, Daniel & Kukla, Lubomir, 2021. "The socioeconomic gradient in child health and noncognitive skills: Evidence from the Czech Republic," Economics & Human Biology, Elsevier, vol. 43(C).
    18. Thakurata, Indrajit & D'Souza, Errol, 2018. "Child labour and human capital in developing countries - A multi-period stochastic model," Economic Modelling, Elsevier, vol. 69(C), pages 67-81.
    19. Flèche, Sarah & Lekfuangfu, Warn N. & Clark, Andrew E., 2021. "The long-lasting effects of family and childhood on adult wellbeing: Evidence from British cohort data," Journal of Economic Behavior & Organization, Elsevier, vol. 181(C), pages 290-311.
    20. Heinesen, Eskil, 2004. "Determinants of local public school expenditure: a dynamic panel data model," Regional Science and Urban Economics, Elsevier, vol. 34(4), pages 429-453, July.

    More about this item

    Keywords

    Returns to education; ability; education quality; Peru;
    All these keywords.

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    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:12-02. See general information about how to correct material in RePEc.

    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 bibliographic 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.

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

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.