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The Africa-Dummy: Gone with the Millennium?

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  • Max Kohler
  • Stefan Sperlich

Abstract

A fixed effects regression estimator is introduced that can directly identify and estimate the Africa-Dummy in one regression step so that its correct standard errors as well as correlations to other coefficients can easily be estimated. We can estimate the Nickel bias and found it to be negligibly tiny. Semiparametric extensions check whether the Africa-Dummy is simply a result of misspecification of the functional form. In particular, we show that the returns to growth factors are different for Sub-Saharan African countries compared to the rest of the world. For example, returns to population growth are positive and beta-convergence is faster. When extending the model to identify the development of the Africa-Dummy over time we see that it has been changing dramatically over time and that the punishment for Sub-Saharan African countries has been decreasing incrementally to reach insignificance around the turn of the millennium.

Suggested Citation

  • Max Kohler & Stefan Sperlich, 2019. "The Africa-Dummy: Gone with the Millennium?," Papers 1903.02357, arXiv.org.
    • Handle: RePEc:arx:papers:1903.02357
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    References listed on IDEAS

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    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Stephen Bond & Anke Hoeffler & Jonathan Temple, 2001. "GMM Estimation of Empirical Growth Models," Economics Papers 2001-W21, Economics Group, Nuffield College, University of Oxford.
    3. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    4. Milton Barossi-Filho & Ricardo Gonçalves Silva & Eliezer Martins Diniz, 2005. "The empirics of the Solow growth model: Long-term evidence," Journal of Applied Economics, Universidad del CEMA, vol. 8, pages 31-51, May.
    5. 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.
    6. Ziliak, James P, 1997. "Efficient Estimation with Panel Data When Instruments Are Predetermined: An Empirical Comparison of Moment-Condition Estimators," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(4), pages 419-431, October.
    7. Anke E. Hoeffler, 2002. "The augmented Solow model and the African growth debate," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(2), pages 135-158, May.
    8. Sachs, Jeffrey D & Warner, Andrew M, 1997. "Sources of Slow Growth in African Economies," Journal of African Economies, Centre for the Study of African Economies, vol. 6(3), pages 335-376, October.
    9. William Easterly & Ross Levine, 1997. "Africa's Growth Tragedy: Policies and Ethnic Divisions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(4), pages 1203-1250.
    10. Phillips, Peter C.B. & Sul, Donggyu, 2007. "Bias in dynamic panel estimation with fixed effects, incidental trends and cross section dependence," Journal of Econometrics, Elsevier, vol. 137(1), pages 162-188, March.
    11. Maureen Were & Nancy N. Nafula, 2003. "An Assessment of the Impact of HIV/AIDS on Economic Growth: The Case of Kenya," CESifo Working Paper Series 1034, CESifo.
    12. Jan Willem Gunning & Paul Collier, 1999. "Explaining African Economic Performance," Journal of Economic Literature, American Economic Association, vol. 37(1), pages 64-111, March.
    13. Barossi-Filho, Milton & Goncalves Silva, Ricardo & Diniz, Eliezer Martins, 2005. "The empirics of the Solow Growth Model: Long-term evidence," Journal of Applied Economics, Universidad del CEMA, vol. 8(1), pages 1-21, May.
    14. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 407-437.
    15. Tauchen, George, 1986. "Statistical Properties of Generalized Method-of-Moments Estimators of Structural Parameters Obtained from Financial Market Data: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(4), pages 423-425, October.
    16. 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.
    17. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    18. Bowsher, Clive G., 2002. "On testing overidentifying restrictions in dynamic panel data models," Economics Letters, Elsevier, vol. 77(2), pages 211-220, October.
    19. Gregory N. Price, 2003. "Economic Growth in a Cross‐section of Nonindustrial Countries: Does Colonial Heritage Matter for Africa?," Review of Development Economics, Wiley Blackwell, vol. 7(3), pages 478-495, August.
    20. Hayakawa, Kazuhiko, 2007. "Small sample bias properties of the system GMM estimator in dynamic panel data models," Economics Letters, Elsevier, vol. 95(1), pages 32-38, April.
    21. Jinyong Hahn & Guido Kuersteiner, 2002. "Asymptotically Unbiased Inference for a Dynamic Panel Model with Fixed Effects when Both "n" and "T" Are Large," Econometrica, Econometric Society, vol. 70(4), pages 1639-1657, July.
    22. Milton Barossi-Filho & Ricardo Gonçalves Silva & Eliezer Martins Diniz, 2005. "The Empirics of the Solow Growth Model: Long-Term Evidence," Journal of Applied Economics, Taylor & Francis Journals, vol. 8(1), pages 31-51, May.
    23. Levine, Ross & Renelt, David, 1992. "A Sensitivity Analysis of Cross-Country Growth Regressions," American Economic Review, American Economic Association, vol. 82(4), pages 942-963, September.
    24. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    25. Stephen Bond & Anke Hoeffler, 2001. "GMM Estimation of Empirical Growth Models," Economics Series Working Papers 2001-W21, University of Oxford, Department of Economics.
    26. Georgescu-Roegen, Nicholas, 1975. "Dynamic models and economic growth," World Development, Elsevier, vol. 3(11-12), pages 765-783.
    27. repec:bla:obuest:v:64:y:2002:i:2:p:135-58 is not listed on IDEAS
    28. 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.
    29. Nazrul Islam, 1995. "Growth Empirics: A Panel Data Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(4), pages 1127-1170.
    30. Tauchen, George, 1986. "Statistical Properties of Generalized Method-of-Moments Estimators of Structural Parameters Obtained from Financial Market Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(4), pages 397-416, October.
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