IDEAS home Printed from https://ideas.repec.org/p/wpa/wuwpma/0510010.html
   My bibliography  Save this paper

Explaining the Negative Coefficient Associated with Human Capital in Augmented Solow Growth Regressions

Author

Listed:
  • Arcand Jean-Louis

    (CERDI-CNRS, University of Auvergne & European Development Network)

  • Béatrice d'Hombres

    (CERDI-CNRS, University of Auvergne & University of Padua)

Abstract

In this paper we consider different explanations for why the coefficient associated with human capital is often negative in growth regressions once country-specific effects are controlled for, whereas the coefficient in question is strongly positive in cross-sectional or panel results based on the pooling estimator. In turn, we explore: (i) additional sources of unobserved heterogeneity stemming from country- specific rates of labor-augmenting technological change, (ii) measurement error in the human capital series being used, and (iii) the lack of variability in the human capital series once the usual covariance transformations are implemented. Remaining unobserved country-specific heterogeneity and measurement error alone are shown to be inadequate explanations. The lack of variability in the human capital series is tackled using a modified version of the Hausman-Taylor (1981) approach whose identifying assumptions are found to be reasonable in the context of the Solow model.

Suggested Citation

  • Arcand Jean-Louis & Béatrice d'Hombres, 2005. "Explaining the Negative Coefficient Associated with Human Capital in Augmented Solow Growth Regressions," Macroeconomics 0510010, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpma:0510010
    Note: Type of Document - pdf; pages: 32
    as

    Download full text from publisher

    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/mac/papers/0510/0510010.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Nehru, Vikram & Swanson, Eric & Dubey, Ashutosh, 1995. "A new database on human capital stock in developing and industrial countries: Sources, methodology, and results," Journal of Development Economics, Elsevier, vol. 46(2), pages 379-401, April.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. Mikael Lindahl & Alan B. Krueger, 2001. "Education for Growth: Why and for Whom?," Journal of Economic Literature, American Economic Association, vol. 39(4), pages 1101-1136, December.
    4. Nelson, Charles R & Startz, Richard, 1990. "Some Further Results on the Exact Small Sample Properties of the Instrumental Variable Estimator," Econometrica, Econometric Society, vol. 58(4), pages 967-976, July.
    5. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 70(1), pages 65-94.
    6. McDonald, Scott & Roberts, Jennifer, 2002. "Growth and multiple forms of human capital in an augmented Solow model: a panel data investigation," Economics Letters, Elsevier, vol. 74(2), pages 271-276, January.
    7. Kevin Lee & M. Hashem Pesaran & Ron Smith, 1998. "Growth Empirics: A Panel Data Approach—A Comment," The Quarterly Journal of Economics, Oxford University Press, vol. 113(1), pages 319-323.
    8. Barro, Robert J. & Lee, Jong-Wha, 1993. "International comparisons of educational attainment," Journal of Monetary Economics, Elsevier, vol. 32(3), pages 363-394, December.
    9. Richard Blundell & Stephen Bond & Frank Windmeijer, 2000. "Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator," IFS Working Papers W00/12, Institute for Fiscal Studies.
    10. Daniel Cohen & Marcelo Soto, 2007. "Growth and human capital: good data, good results," Journal of Economic Growth, Springer, vol. 12(1), pages 51-76, March.
    11. Durlauf, Steven N. & Kourtellos, Andros & Minkin, Artur, 2001. "The local Solow growth model," European Economic Review, Elsevier, vol. 45(4-6), pages 928-940, May.
    12. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    13. 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.
    14. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
    15. Lee, Kevin & Pesaran, M Hashem & Smith, Ron, 1997. "Growth and Convergence in Multi-country Empirical Stochastic Solow Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(4), pages 357-392, July-Aug..
    16. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    17. Robert J. Barro, 1991. "Economic Growth in a Cross Section of Countries," The Quarterly Journal of Economics, Oxford University Press, vol. 106(2), pages 407-443.
    18. Douglas Gollin, 2002. "Getting Income Shares Right," Journal of Political Economy, University of Chicago Press, vol. 110(2), pages 458-474, April.
    19. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 107(2), pages 407-437.
    20. Dagenais, Marcel G., 1994. "Parameter estimation in regression models with errors in the variables and autocorrelated disturbances," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 145-163.
    21. Klepper, Steven & Leamer, Edward E, 1984. "Consistent Sets of Estimates for Regressions with Errors in All Variables," Econometrica, Econometric Society, vol. 52(1), pages 163-183, January.
    22. Jacques Mairesse & Bronwyn H. Hall, 1996. "Estimating the Productivity of Research and Development: An Exploration of GMM Methods Using Data on French & United States Manufacturing Firms," NBER Working Papers 5501, National Bureau of Economic Research, Inc.
    23. Hamilton, James D. & Monteagudo, Josefina, 1998. "The augmented Solow model and the productivity slowdown," Journal of Monetary Economics, Elsevier, vol. 42(3), pages 495-509, October.
    24. Benhabib, Jess & Spiegel, Mark M., 1994. "The role of human capital in economic development evidence from aggregate cross-country data," Journal of Monetary Economics, Elsevier, vol. 34(2), pages 143-173, October.
    25. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    26. Jordan Rappaport, 2000. "Is the speed of convergence constant?," Research Working Paper RWP 00-10, Federal Reserve Bank of Kansas City.
    27. Duffy, John & Papageorgiou, Chris, 2000. "A Cross-Country Empirical Investigation of the Aggregate Production Function Specification," Journal of Economic Growth, Springer, vol. 5(1), pages 87-120, March.
    28. Michael J. Boskin & Lawrence J. Lau, 2000. "Generalized Solow-Neutral Technical Progress and Postwar Economic Growth," NBER Working Papers 8023, National Bureau of Economic Research, Inc.
    29. Robert E. Hall & Charles I. Jones, 1999. "Why do Some Countries Produce So Much More Output Per Worker than Others?," The Quarterly Journal of Economics, Oxford University Press, vol. 114(1), pages 83-116.
    30. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    31. Gemmell, Norman, 1995. "Endogenous Growth, the Solow Model and Human Capital," Economic Change and Restructuring, Springer, vol. 28(2-3), pages 169-183.
    32. Amemiya, Takeshi & MaCurdy, Thomas E, 1986. "Instrumental-Variable Estimation of an Error-Components Model," Econometrica, Econometric Society, vol. 54(4), pages 869-880, July.
    33. Barbara Sianesi, 2002. "The returns to education: a review of the empirical macro-economic literature," IFS Working Papers W02/05, Institute for Fiscal Studies.
    34. Lau, Lawrence J. & Jamison, Dean T. & Louat, Frederic F., 1991. "Education and productivity in developing countries : an aggregate production function approach," Policy Research Working Paper Series 612, The World Bank.
    35. Nelson, Daniel B., 1995. "Vector attenuation bias in the classical errors-in-variables model," Economics Letters, Elsevier, vol. 49(4), pages 345-349, October.
    36. Buse, A, 1992. "The Bias of Instrumental Variable Estimators," Econometrica, Econometric Society, vol. 60(1), pages 173-180, January.
    37. Grether, D M & Maddala, G S, 1973. "Errors in Variables and Serially Correlated Disturbances in Distributed Lag Models," Econometrica, Econometric Society, vol. 41(2), pages 255-262, March.
    38. Harold Brumm, 1996. "The human capital augmented Solow model revisited," Applied Economics Letters, Taylor & Francis Journals, vol. 3(11), pages 711-714.
    39. Brauninger, Michael & Pannenberg, Markus, 2002. "Unemployment and productivity growth: an empirical analysis within an augmented Solow model," Economic Modelling, Elsevier, vol. 19(1), pages 105-120, January.
    40. Ben S. Bernanke & Refet S. Gürkaynak, 2002. "Is Growth Exogenous? Taking Mankiw, Romer, and Weil Seriously," NBER Chapters,in: NBER Macroeconomics Annual 2001, Volume 16, pages 11-72 National Bureau of Economic Research, Inc.
    41. Pritchett, Lant, 1996. "Where has all the education gone?," Policy Research Working Paper Series 1581, The World Bank.
    42. Gemmell, Norman, 1996. "Evaluating the Impacts of Human Capital Stocks and Accumulation on Economic Growth: Some New Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(1), pages 9-28, February.
    43. Caselli, Francesco & Esquivel, Gerardo & Lefort, Fernando, 1996. "Reopening the Convergence Debate: A New Look at Cross-Country Growth Empirics," Journal of Economic Growth, Springer, vol. 1(3), pages 363-389, September.
    44. Jinyong Hahn & Jerry Hausman & Guido Kuersteiner, 2005. "Bias Corrected Instrumental Variables Estimation for Dynamic Panel Models with Fixed E¤ects," Boston University - Department of Economics - Working Papers Series WP2005-024, Boston University - Department of Economics.
    45. Bowsher, Clive G., 2002. "On testing overidentifying restrictions in dynamic panel data models," Economics Letters, Elsevier, vol. 77(2), pages 211-220, October.
    46. Jinyong Hahn & Jerry Hausman, 2003. "Weak Instruments: Diagnosis and Cures in Empirical Econometrics," American Economic Review, American Economic Association, vol. 93(2), pages 118-125, May.
    47. Knowles, Stephen & Owen, P. Dorian, 1995. "Health capital and cross-country variation in income per capita in the Mankiw-Romer-Weil model," Economics Letters, Elsevier, vol. 48(1), pages 99-106, April.
    48. Kevin Lee & M. Hashem Pesaran & Ron Smith, "undated". "Growth and Convergence in a Multi-County empirical Stochastic Solow Model," Discussion Papers in Economics 96/14, Department of Economics, University of Leicester.
    49. Peter Klenow & Andrés Rodríguez-Clare, 1997. "The Neoclassical Revival in Growth Economics: Has It Gone Too Far?," NBER Chapters,in: NBER Macroeconomics Annual 1997, Volume 12, pages 73-114 National Bureau of Economic Research, Inc.
    50. Peter J. Klenow & Mark Bils, 2000. "Does Schooling Cause Growth?," American Economic Review, American Economic Association, vol. 90(5), pages 1160-1183, December.
    51. Breusch, Trevor S & Mizon, Grayham E & Schmidt, Peter, 1989. "Efficient Estimation Using Panel Data," Econometrica, Econometric Society, vol. 57(3), pages 695-700, May.
    52. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    53. Nazrul Islam, 1995. "Growth Empirics: A Panel Data Approach," The Quarterly Journal of Economics, Oxford University Press, vol. 110(4), pages 1127-1170.
    54. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    55. Anderson, T. W. & Hsiao, Cheng., 1980. "Estimation of Dynamic Models with Error Components," Working Papers 336, California Institute of Technology, Division of the Humanities and Social Sciences.
    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. Konseiga, Adama, 2005. "Regionalism in West Africa: Do Polar Countries Reap the Benefits? A Role for Migration," IZA Discussion Papers 1516, Institute for the Study of Labor (IZA).
    2. Valerien O. Pede & Raymond J.G.M. Florax & Henri L.F. de Groot, 2011. "Technological Leadership and Sectoral Employment Growth:A Spatial Econometric Analysis for U.S. Counties," Working Papers 11-1, Purdue University, College of Agriculture, Department of Agricultural Economics.

    More about this item

    Keywords

    Economic growth; human capital; measurement error; panel estimation;

    JEL classification:

    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical

    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:wpa:wuwpma:0510010. 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: (EconWPA). General contact details of provider: https://econwpa.ub.uni-muenchen.de .

    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.