IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/75112.html
   My bibliography  Save this paper

Education and Earnings nexus in Zimbabwe after the 2005-2008 hyper-inflationary period: An empirical analysis

Author

Listed:
  • Munyanyi, Musharavati Ephraim

Abstract

This study seeks to investigate the impact of education on individual earnings after the hyper-inflationary period (2005 - 2008). It follows the Mincerian Human Capital Model (log-linear approach). Data is collected through the use of questionnaires from government ministries during the calendar year 2012. The sample consists of 250 individuals (125 males and 125 females). Individual Earnings are regressed against human capital variables, as well as socio-economic variables. According to the results, levels of education and work experience in years are positively and significantly contributing to monthly individual earnings. The study suggests that Government should invest in education. The results also imply that there is dire need for establishment of institutes for technical education that train individuals according to requirements of the labour market and emphasis should be given to such programs which have a gap. This market oriented approach will boost human resources that can play a major role in accelerating the pace of development of the economy in the long run.

Suggested Citation

  • Munyanyi, Musharavati Ephraim, 2012. "Education and Earnings nexus in Zimbabwe after the 2005-2008 hyper-inflationary period: An empirical analysis," MPRA Paper 75112, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:75112
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/75112/1/MPRA_paper_75112.pdf
    File Function: original version
    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. Zafar Mueen Nasir & Hina Nazli, 2000. "Education And Earnings In Pakistan," PIDE-Working Papers 2000:177, Pakistan Institute of Development Economics.
    3. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, May.
    4. Lochner, L., 1999. "Education, Work, and Crime: Theory and Evidence," RCER Working Papers 465, University of Rochester - Center for Economic Research (RCER).
    5. Rothschild, Michael, 1973. "Models of Market Organization with Imperfect Information: A Survey," Journal of Political Economy, University of Chicago Press, vol. 81(6), pages 1283-1308, Nov.-Dec..
    6. Stiglitz, Joseph E, 1975. "The Theory of "Screening," Education, and the Distribution of Income," American Economic Review, American Economic Association, vol. 65(3), pages 283-300, June.
    7. Eng Seng Loh, 1996. "Productivity Differences and the Marriage Wage Premium for White Males," Journal of Human Resources, University of Wisconsin Press, vol. 31(3), pages 566-589.
    8. Ogloblin, Constantin & Brock, Gregory, 2005. "Wage determination in urban Russia: Underpayment and the gender differential," Economic Systems, Elsevier, vol. 29(3), pages 325-343, September.
    9. Tansel, Aysit, 1994. "Wage employment, earnings and returns to schooling for men and women in Turkey," Economics of Education Review, Elsevier, vol. 13(4), pages 305-320.
    10. Lance Lochner & Enrico Moretti, 2004. "The Effect of Education on Crime: Evidence from Prison Inmates, Arrests, and Self-Reports," American Economic Review, American Economic Association, vol. 94(1), pages 155-189, March.
    11. Grogger, Jeff, 1998. "Market Wages and Youth Crime," Journal of Labor Economics, University of Chicago Press, vol. 16(4), pages 756-791, October.
    12. Kenny, Lawrence W, 1983. "The Accumulation of Human Capital during Marriage by Males," Economic Inquiry, Western Economic Association International, vol. 21(2), pages 223-231, April.
    13. Sanders Korenman & David Neumark, 1991. "Does Marriage Really Make Men More Productive?," Journal of Human Resources, University of Wisconsin Press, vol. 26(2), pages 282-307.
    14. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    15. Gary S. Becker, 1981. "A Treatise on the Family," NBER Books, National Bureau of Economic Research, Inc, number beck81-1, May.
    16. Stigler, George J., 2011. "Economics of Information," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 35-49.
    17. Adriana Lleras-Muney & Frank R. Lichtenberg, 2002. "The Effect of Education on Medical Technology Adoption: Are the More Educated More Likely to Use New Drugs," NBER Working Papers 9185, National Bureau of Economic Research, Inc.
    18. Becker, Gary S, 1973. "A Theory of Marriage: Part I," Journal of Political Economy, University of Chicago Press, vol. 81(4), pages 813-846, July-Aug..
    19. Greenhalgh, Christine A, 1980. "Male-Female Wage Differentials in Great Britain: Is Marriage an Equal Opportunity?," Economic Journal, Royal Economic Society, vol. 90(363), pages 751-775, December.
    20. Sherwin Rosen, 1972. "Learning and Experience in the Labor Market," Journal of Human Resources, University of Wisconsin Press, vol. 7(3), pages 326-342.
    21. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
    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. Polachek, Solomon W., 2008. "Earnings Over the Life Cycle: The Mincer Earnings Function and Its Applications," Foundations and Trends(R) in Microeconomics, now publishers, vol. 4(3), pages 165-272, April.
    2. Alberto Dalmazzo & Guido de Blasio, 2005. "Where do human capital externalities end up?," Temi di discussione (Economic working papers) 554, Bank of Italy, Economic Research and International Relations Area.
    3. Maria Esther Oswald-Egg & Ursula Renold, 2019. "No Experience, No Employment: The Effect of Vocational Education and Training Work Experience on Labour Market Outcomes after Higher Education," KOF Working papers 19-469, KOF Swiss Economic Institute, ETH Zurich.
    4. Ralph Hippe & Roger Fouquet, 2015. "The human capital transition and the role of policy," GRI Working Papers 185, Grantham Research Institute on Climate Change and the Environment.
    5. Theodore Koutmeridis, 2013. "The Market for "Rough Diamonds": Information, Finance and Wage Inequality," CDMA Working Paper Series 201307, Centre for Dynamic Macroeconomic Analysis, revised 14 Oct 2013.
    6. Zafar Mueen Nasir, 2000. "Earnings Differential between Public and Private Sectors in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 39(2), pages 111-130.
    7. Parent, Daniel, 2002. "Matching, human capital, and the covariance structure of earnings," Labour Economics, Elsevier, vol. 9(3), pages 375-404, July.
    8. Karen Mumford & Cristina Sechel, 2020. "Pay and Job Rank among Academic Economists in the UK: Is Gender Relevant?," British Journal of Industrial Relations, London School of Economics, vol. 58(1), pages 82-113, March.
    9. Feng, Andy & Graetz, Georg, 2017. "A question of degree: The effects of degree class on labor market outcomes," Economics of Education Review, Elsevier, vol. 61(C), pages 140-161.
    10. Cornaglia, Francesca & Feldman, Naomi E., 2011. "Productivity, Wages, and Marriage: The Case of Major League Baseball," IZA Discussion Papers 5695, Institute of Labor Economics (IZA).
    11. Chong Huang & Hongbin Li & Pak Wai Liu & Junsen Zhang, 2009. "Why Does Spousal Education Matter for Earnings? Assortative Mating and Cross-Productivity," Journal of Labor Economics, University of Chicago Press, vol. 27(4), pages 633-652, October.
    12. Imed Limam & Abdelwahab Ben Hafaiedh, 2017. "Education, Earnings and Returns to Schooling in Tunisia," Working Papers 1162, Economic Research Forum, revised 12 Jun 2017.
    13. Jovanovic, Boyan & Nyarko, Yaw, 1997. "Stepping-stone mobility," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 46(1), pages 289-325, June.
    14. Astrid Kunze, 2020. "The effect of children on male earnings and inequality," Review of Economics of the Household, Springer, vol. 18(3), pages 683-710, September.
    15. Nikhil Agarwal, 2015. "An Empirical Model of the Medical Match," American Economic Review, American Economic Association, vol. 105(7), pages 1939-1978, July.
    16. Thomas Bolli & Katherine Caves & Maria Esther Oswald-Egg, 2019. "Valuable experience: How internships affect university graduates’ income," KOF Working papers 19-459, KOF Swiss Economic Institute, ETH Zurich.
    17. Boll Christina & Wolf André & Rossen Anja, 2017. "The EU Gender Earnings Gap: Job Segregation and Working Time as Driving Factors," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 237(5), pages 407-452, October.
    18. Robert Gibbons & Michael Waldman, 2006. "Enriching a Theory of Wage and Promotion Dynamics inside Firms," Journal of Labor Economics, University of Chicago Press, vol. 24(1), pages 59-108, January.
    19. Jacek Liwiński, 2019. "Does it pay to study abroad? Evidence from Poland," International Journal of Manpower, Emerald Group Publishing Limited, vol. 40(3), pages 525-555, February.
    20. Titus J. Galama & Adriana Lleras-Muney & Hans van Kippersluis, 2018. "The Effect of Education on Health and Mortality: A Review of Experimental and Quasi-Experimental Evidence," NBER Working Papers 24225, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    Earnings; Education; Mincerian Equation; Human Capital Model; Zimbabwe;
    All these keywords.

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    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:pra:mprapa:75112. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.