Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp7335.html
   My bibliography  Save this paper

Heterogeneity in the Production of Human Capital

Author

Listed:
  • Polachek, Solomon

    (Binghamton University, New York)

  • Das, Tirthatanmoy

    (Indian Institute of Management Bangalore)

  • Thamma-Apiroam, Rewat

    (Kasetsart University)

Abstract
We derive a tractable nonlinear earnings function which we estimate separately for each individual in the NLSY79 data. These estimates yield five important parameters for each individual: three ability measures (two representing the ability to learn and one the ability to earn), a rate of skill depreciation, and a time discount rate. In addition, we obtain a population wide estimate of the rental rate of human capital. To illustrate heterogeneity in the production of human capital, we plot the distribution of these parameters along with NLSY79 reported AFQT scores. By utilizing these parameters, we are able to verify a number of heretofore untested theorems based on the life-cycle human capital model. In addition, we are able to show how these human capital production function parameters relate to cognitive ability, personality traits, and family background. Among our results, we find: Black-white differences in ability are smaller than those exhibited in standardized tests. Blacks have higher time discount and skill depreciation rates than whites. Individuals with higher time discount rates and greater rates of skill depreciation have fewer years of school. Individuals with both a high internal locus of control and self-esteem exhibit greater ability, lower skill depreciation, and smaller time discount rates. Individuals inclined towards depression have higher time discount rates. Agreeable, open, conscientious and extrovert individuals have a greater ability to learn but not necessarily a greater ability to earn. Neurotic individuals have a lower ability to learn. Higher parental education is associated with a greater ability to learn, lower skill depreciation, and a smaller time discount rate. Educational stimuli, such as growing up in a household that subscribed to magazines, are associated with higher ability. Conversely, growing up poor is associated with lower ability.

Suggested Citation

  • Polachek, Solomon & Das, Tirthatanmoy & Thamma-Apiroam, Rewat, 2013. "Heterogeneity in the Production of Human Capital," IZA Discussion Papers 7335, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp7335
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp7335.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ian W. H. Parry & Kenneth A. Small, 2009. "Should Urban Transit Subsidies Be Reduced?," American Economic Review, American Economic Association, vol. 99(3), pages 700-724, June.
    2. 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.
    3. James J. Heckman & Lance J. Lochner & Petra E. Todd, 2008. "Earnings Functions and Rates of Return," Journal of Human Capital, University of Chicago Press, vol. 2(1), pages 1-31.
    4. Racine, Jeff & Li, Qi, 2004. "Nonparametric estimation of regression functions with both categorical and continuous data," Journal of Econometrics, Elsevier, vol. 119(1), pages 99-130, March.
    5. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    6. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    7. Meghir, Costas & Pistaferri, Luigi, 2011. "Earnings, Consumption and Life Cycle Choices," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 9, pages 773-854, Elsevier.
    8. Nir Jaimovich & Sergio Rebelo, 2009. "Can News about the Future Drive the Business Cycle?," American Economic Review, American Economic Association, vol. 99(4), pages 1097-1118, September.
    9. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    10. James Heckman & Lance Lochner & Christopher Taber, 1998. "Explaining Rising Wage Inequality: Explanations With A Dynamic General Equilibrium Model of Labor Earnings With Heterogeneous Agents," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(1), pages 1-58, January.
    11. Heckman, James J. & Lochner, Lance J. & Todd, Petra E., 2006. "Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 1, chapter 7, pages 307-458, Elsevier.
    12. Polachek, Solomon William, 1981. "Occupational Self-Selection: A Human Capital Approach to Sex Differences in Occupational Structure," The Review of Economics and Statistics, MIT Press, vol. 63(1), pages 60-69, February.
    13. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    14. White, Kenneth J, 1992. "The Durbin-Watson Test for Autocorrelation in Nonlinear Models," The Review of Economics and Statistics, MIT Press, vol. 74(2), pages 370-373, May.
    15. Jean Boivin & Marc P. Giannoni & Ilian Mihov, 2009. "Sticky Prices and Monetary Policy: Evidence from Disaggregated US Data," American Economic Review, American Economic Association, vol. 99(1), pages 350-384, March.
    16. Edward Lazear, 1977. "Schooling as a Wage Depressant," Journal of Human Resources, University of Wisconsin Press, vol. 12(2), pages 164-176.
    17. Johnson, Thomas & Hebein, Frederick J, 1974. "Investments in Human Capital and Growth in Personal Income 1956-1966," American Economic Review, American Economic Association, vol. 64(4), pages 604-615, September.
    18. Haley, William J, 1976. "Estimation of the Earnings Profile from Optimal Human Capital Accumulation," Econometrica, Econometric Society, vol. 44(6), pages 1223-1238, November.
    19. Heckman, James J, 1976. "A Life-Cycle Model of Earnings, Learning, and Consumption," Journal of Political Economy, University of Chicago Press, vol. 84(4), pages 11-44, August.
    20. Jacob Mincer, 1958. "Investment in Human Capital and Personal Income Distribution," Journal of Political Economy, University of Chicago Press, vol. 66(4), pages 281-281.
    21. Polachek, Solomon William, 1975. "Differences in Expected Post-school Investments as a Determinant of Market Wage Differentials," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 16(2), pages 451-470, June.
    22. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    23. Johnson, Thomas, 1970. "Returns from Investment in Human Capital," American Economic Review, American Economic Association, vol. 60(4), pages 546-560, September.
    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. Solomon W. Polachek, 2017. "Heterogeneity in the Labor Market: Ability and Information Acquisition," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 43(3), pages 377-390, June.

    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. Das, Tirthatanmoy & Polachek, Solomon, 2017. "Micro Foundations of Earnings Differences," IZA Discussion Papers 10922, Institute of Labor Economics (IZA).
    2. Henderson, Daniel J. & Polachek, Solomon W. & Wang, Le, 2011. "Heterogeneity in schooling rates of return," Economics of Education Review, Elsevier, vol. 30(6), pages 1202-1214.
    3. Huggett, Mark & Ventura, Gustavo & Yaron, Amir, 2006. "Human capital and earnings distribution dynamics," Journal of Monetary Economics, Elsevier, vol. 53(2), pages 265-290, March.
    4. Carl Sanders & Christopher Taber, 2012. "Life-Cycle Wage Growth and Heterogeneous Human Capital," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 399-425, July.
    5. 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.
    6. Solomon Polachek, 2003. "Mincer's Overtaking Point and the Life Cycle Earnings Distribution," Review of Economics of the Household, Springer, vol. 1(4), pages 273-304, December.
    7. Deniz Ozabaci & Daniel Henderson, 2015. "Additive kernel estimates of returns to schooling," Empirical Economics, Springer, vol. 48(1), pages 227-251, February.
    8. Sánchez-Romero, Miguel & d׳Albis, Hippolyte & Prskawetz, Alexia, 2016. "Education, lifetime labor supply, and longevity improvements," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 118-141.
    9. Chaitali Sinha, 2014. "Human Capital and Public Policy," South Asian Journal of Macroeconomics and Public Finance, , vol. 3(1), pages 79-125, June.
    10. Heckman, James J. & Loughlin, Colleen P., 2021. "Athletes Greatly Benefit from Participation in Sports at the College and Secondary Level," IZA Discussion Papers 14584, Institute of Labor Economics (IZA).
    11. Jean-Marc Fournier & Isabell Koske, 2012. "The determinants of earnings inequality: evidence from quantile regressions," OECD Journal: Economic Studies, OECD Publishing, vol. 2012(1), pages 7-36.
    12. Flabbi, Luca & Paternostro, Stefano & Tiongson, Erwin R., 2008. "Returns to education in the economic transition: A systematic assessment using comparable data," Economics of Education Review, Elsevier, vol. 27(6), pages 724-740, December.
    13. Pablo Lavado & Nelson Oviedo & Hernán Ruffo, 2016. "Destruction of Cognitive and Noncognitive Skills in Adulthood," Working Papers 16-07, Centro de Investigación, Universidad del Pacífico.
    14. Bhuller, Manudeep & Mogstad, Magne & Salvanes, Kjell G., 2011. "Life-Cycle Bias and the Returns to Schooling in Current and Lifetime Earnings," IZA Discussion Papers 5788, Institute of Labor Economics (IZA).
    15. Fortin, Bernard & Ragued, Safa, 2017. "Does temporary interruption in postsecondary education induce a wage penalty? Evidence from Canada," Economics of Education Review, Elsevier, vol. 58(C), pages 108-122.
    16. Tim Leunig & Maria Stanfors, 2010. "Piece-rates and prosperity: evidence from the late nineteenth-century tobacco industry," Working Papers 10003, Economic History Society.
    17. Richter, Wolfram F., 2013. "Mincer Equation, Power Law of Learning, and Efficient Education Policy," IZA Discussion Papers 7280, Institute of Labor Economics (IZA).
    18. Hermannsson, Kristinn & Lisenkova, Katerina & Lecca, Patrizio & McGregor, Peter G & Swales, J Kim, 2010. "The Importance of Graduates for the Scottish Economy: A Micro-to-Macro Approach," SIRE Discussion Papers 2010-80, Scottish Institute for Research in Economics (SIRE).
    19. Hansen, Gary D. & Imrohoroglu, Selahattin, 2009. "Business cycle fluctuations and the life cycle: How important is on-the-job skill accumulation?," Journal of Economic Theory, Elsevier, vol. 144(6), pages 2293-2309, November.
    20. 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.

    More about this item

    Keywords

    heterogeneity; ability to earn; ability to learn; life-cycle model; earnings function;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J29 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Other
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J39 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Other

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:iza:izadps:dp7335. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.