IDEAS home Printed from https://ideas.repec.org/a/aic/saebjn/v63y2017i3p1-19n48.html
   My bibliography  Save this article

A Multilevel Analysis Of The Returns To Education In Ecuador. The Multifaceted Impact Of Human Capital

Author

Listed:
  • Mercy Raquel ORELLANA BRAVO
  • Monica RÄ‚ILEANU SZELES
  • Dalia Maritza ARGUDO BARRERA

Abstract

This paper analyses the returns to education in Ecuador based on cross-sectional data collected by a National Survey at the individual- and canton-levels in 2005 and 2015. The multilevel analysis provides the methodological framework that allows capturing the regional peculiarities of data as well as addressing the high regional economic heterogeneity. The two level- random intercept and random slope models are used to examine the impact of individual-level and canton-level characteristics on the labour income. In subsidiary, the paper explains the proportion of variance in individual- level income that is explained by canton- level characteristics. JEL Codes - I26, J31, I24

Suggested Citation

  • Mercy Raquel ORELLANA BRAVO & Monica RÄ‚ILEANU SZELES & Dalia Maritza ARGUDO BARRERA, 2017. "A Multilevel Analysis Of The Returns To Education In Ecuador. The Multifaceted Impact Of Human Capital," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 63(3), pages 1-19, January.
    • Handle: RePEc:aic:saebjn:v:63:y:2017:i:3:p:1-19:n:48
    as

    Download full text from publisher

    File URL: http://saeb.feaa.uaic.ro/index.php/saeb/article/view/1036
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    2. Barro, Robert J. & Lee, Jong Wha, 2013. "A new data set of educational attainment in the world, 1950–2010," Journal of Development Economics, Elsevier, vol. 104(C), pages 184-198.
    3. Jacob A. Mincer, 1974. "Age and Experience Profiles of Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 64-82, National Bureau of Economic Research, Inc.
    4. Mincer, Jacob & Higuchi, Yoshio, 1988. "Wage structures and labor turnover in the United States and Japan," Journal of the Japanese and International Economies, Elsevier, vol. 2(2), pages 97-133, June.
    5. Wolpin, Kenneth I, 1977. "Education and Screening," American Economic Review, American Economic Association, vol. 67(5), pages 949-958, December.
    6. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, February.
    7. Monica Raileanu-Szeles & Ileana Tache, 2016. "Discussing The Role Of Migration And Education In Fighting Economic Vulnerability In South-Eastern Europe," Journal of Smart Economic Growth, , vol. 1(1), pages 73-85, August.
    Full references (including those not matched with items on IDEAS)

    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. Orellana Mercy Raquel & Argudo Barrera Dalia Maritza & Răileanu Szeles Monica, 2016. "A Multilevel Analysis of the Returns to Education in Ecuador. The Multifaceted Impact of Human Capital," Scientific Annals of Economics and Business, Sciendo, vol. 63(s1), pages 1-19, December.
    2. Sajjad Haider Bhatti & Muhammad Aslam & Jean Bourdon, 2018. "Market Returns to Education in Pakistan, Corrected for Endogeneity Bias," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 23(1), pages 79-96, Jan-June.
    3. Zhu, Xi & Whalley, John & Zhao, Xiliang, 2014. "Intergenerational transfer, human capital and long-term growth in China under the one child policy," Economic Modelling, Elsevier, vol. 40(C), pages 275-283.
    4. Diego Restuccia & Guillaume Vandenbroucke, 2014. "Explaining Educational Attainment across Countries and over Time," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(4), pages 824-841, October.
    5. Remi Jedwab & Paul Romer & Asif M. Islam & Roberto Samaniego, 2023. "Human Capital Accumulation at Work: Estimates for the World and Implications for Development," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(3), pages 191-223, July.
    6. Paravee Maneejuk & Woraphon Yamaka, 2021. "The Impact of Higher Education on Economic Growth in ASEAN-5 Countries," Sustainability, MDPI, vol. 13(2), pages 1-28, January.
    7. Ken Yamada & Daiji Kawaguchi, 2015. "The changing and unchanged nature of inequality and seniority in Japan," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(1), pages 129-153, March.
    8. Johannes Schwarze, 1990. "Ausbildung und Einkommen: eine vergleichende Humankapitalanalyse für beide deutsche Staaten," Discussion Papers of DIW Berlin 12, DIW Berlin, German Institute for Economic Research.
    9. Corrado Andini, 2022. "Tertiary education for all and wage inequality: policy insights from quantile regression," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(6), pages 1281-1296, November.
    10. Steffen Hillmert, 2002. "Labour Market Integration and Institutions: An Anglo-german Comparison," Work, Employment & Society, British Sociological Association, vol. 16(4), pages 675-701, December.
    11. Guillermina Jasso, 1996. "Exploring the Reciprocal Relations between Theoretical and Empirical Work," Sociological Methods & Research, , vol. 24(3), pages 253-303, February.
    12. Chloé Duvivier Duvivier & Mary-Françoise Renard & Shi Li, 2012. "Are workers close to cities paid higher non-agricultural wages in rural China?," CERDI Working papers halshs-00673698, HAL.
    13. Carl Lin, 2016. "How Do Immigrants From Taiwan Fare In The U.S. Labor Market?," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(05), pages 1-38, December.
    14. Marc Rohde & Christoph Breuer, 2016. "Europe’s Elite Football: Financial Growth, Sporting Success, Transfer Investment, and Private Majority Investors," IJFS, MDPI, vol. 4(2), pages 1-20, June.
    15. Cygan-Rehm, Kamila, 2018. "Is additional schooling worthless? Revising the zero returns to compulsory schooling in Germany," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181528, Verein für Socialpolitik / German Economic Association.
    16. Priyo Asad Karim Khan, 2012. "Sector-Specific Capital, Labor Market Distortions and Cross-Country Income Differences: A Two-Sector General Equilibrium Approach," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(1), pages 1-52, March.
    17. Fraumeni, Barbara M. & He, Junzi & Li, Haizheng & Liu, Qinyi, 2019. "Regional distribution and dynamics of human capital in China 1985–2014," Journal of Comparative Economics, Elsevier, vol. 47(4), pages 853-866.
    18. Romaguera P. & Paredes R., 1987. "Modelos de capital humano y segmentacion: quienes obtienen retornos superiores?," ILO Working Papers 992566703402676, International Labour Organization.
    19. Bogdan Oancea & Richard Pospíšil & Raluca Mariana Drăgoescu, 2017. "Higher Education and Economic Growth. A Comparison between Czech Republic and Romania," Prague Economic Papers, Prague University of Economics and Business, vol. 2017(4), pages 467-486.
    20. Stephan Brunow & Stefanie Lösch & Ostap Okhrin, 2022. "Labor market tightness and individual wage growth: evidence from Germany," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 56(1), pages 1-21, December.

    More about this item

    Keywords

    regional heterogeneity; return to education; variance;
    All these keywords.

    JEL classification:

    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

    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:aic:saebjn:v:63:y:2017:i:3:p:1-19:n:48. 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: Sireteanu Napoleon-Alexandru (email available below). General contact details of provider: https://edirc.repec.org/data/feaicro.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.