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PERSISTENCE IN CONVERGENCE

Published online by Cambridge University Press:  01 February 2013

Thanasis Stengos*
Affiliation:
University of Guelph
M. Ege Yazgan
Affiliation:
Istanbul Bilgi University
*
Address correspondence to: Thanasis Stengos, Department of Economics and Finance, University of Guelph, Guelph, ON N1G 2W1, Canada; e-mail: tstengos@uoguelph.ca.

Abstract

In this paper, we examine the convergence hypothesis using a long memory framework that allows for structural breaks and does not rely on a benchmark country. We find that even though the long memory framework of analysis is much richer than the simple I(1)/I(0) alternative, a simple absolute divergence and rapid convergence dichotomy produced by the latter is sufficient to capture the behavior of the gaps in per capita GDP levels and growth rates results respectively. This is in contrast to the findings of Dufrénot, Mignon, and Naccache [The Slow Convergence of Per Capita Income between the Developing Countries: Growth Resistance and Sometimes Growth Tragedy. Discussion paper, University of Nottingham (2009)], who found strong evidence of long memory for output gaps. The speed of convergence as captured by the estimated long memory parameter d, is explained by differences in physical and human capital as well as fiscal discipline characteristics of economic policies pursued by different countries.

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Articles
Copyright
Copyright © Cambridge University Press 2013 

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References

Abadir, K., Distaso, W., and Giraitis, L. (2007) Nonstationarity-extended local Whittle estimation. Journal of Econometrics 141, 13531384.CrossRefGoogle Scholar
Abadir, K. and Talmain, G. (2002) Aggregation, persistence and volatility in a macro model. Review of Economic Studies 69, 749779.CrossRefGoogle Scholar
Ashley, R.A. and Patterson, D.M. (2010) Apparent long memory in time series as an artifact of a time-varying mean: Considering alternatives to the fractionally integrated model. Macroeconomic Dynamics 14(Supplement 1), 5987.CrossRefGoogle Scholar
Barro, R.J. and Lee, J-W. (2001) International Data on Educational Attainment: Updates and Implications. CID working paper 42.Google Scholar
Becker, R., Enders, W., and Hurn, S. (2004) A general test for time dependence in parameters. Journal of Applied Econometrics 19, 899906.CrossRefGoogle Scholar
Becker, R., Enders, W., and Lee, J. (2006) A stationary test in the presence of an unknown number of smooth breaks. Journal of Time Series Analysis 27, 381409.CrossRefGoogle Scholar
Bernard, A.B. and Durlauf, S.N. (1995) Convergence in international output. Journal of Applied Econometrics 10, 97108.CrossRefGoogle Scholar
Bernard, A.B. and Durlauf, S.N. (1996) Interpreting tests of the convergence hypothesis. Journal of Econometrics 71, 161173.CrossRefGoogle Scholar
Cheung, Y-W. and Pascua, A.I.G.l (2004) Testing for output convergence: A re-examination. Oxford Economic Papers 54, 4563.CrossRefGoogle Scholar
Christopoulos, D.K. and Leon-Ledesma, M.A. (2011) International output convergence, breaks, and asymmetric adjustment. Studies in Nonlinear Dynamics and Econometrics 15, 130.Google Scholar
Coe, D.T., Helpman, E., and Hoffmaister, A.W. (2009) International R&D spillovers and institutions, European Economic Review 53, 723741.CrossRefGoogle Scholar
Datta, A. (2003) Time series tests of convergence and transitional dynamics. Economics Letters 81, 233240.CrossRefGoogle Scholar
Dufrénot, G., Mignon, V., and Naccache, T. (2009) The Slow Convergence of Per Capita Income between the Developing Countries: Growth Resistance and Sometimes Growth Tragedy. University of Nottingham Discussion Papers.Google Scholar
Durlauf, S.N., Johnson, P.A., and Temple, J.R.W. (2005) Growth econometrics. In Aghion, P. and Durlauf, S.N. (eds.), Handbook of Economic Growth, pp. 555678. Amsterdam: North Holland.Google Scholar
Haubrich, J.G. and Lo, A.W. (2001) The sources and nature of long-term memory in aggregate output. Federal Reserve Bank of Cleveland Economic Review 2, 1530.Google Scholar
Li, Q. and Papell, D.H. (1999) Convergence of international output: Time series evidence for 16 OECD countries. International Review of Economics and Finance 8, 267280.CrossRefGoogle Scholar
Ludlow, J. and Enders, W. (2000) Estimating non-linear ARMA models using Fourier coefficients. International Journal of Forecasting 16, 333347.CrossRefGoogle Scholar
Ketteni, E., Mamuneas, T. and Stengos, T. (2011) The effect of information technology and human capital on economicl growth. Macroeconomic Dynamics 5, 595615.CrossRefGoogle Scholar
Kuensch, H.R. (1987) Statistical aspects of self-similar processes. In Prokhorov, Y. and Sazanov, V.V. (eds.), Proceedings of the First World Congress of the Bernoulli Society, pp. 6774. Utrecht, Netherlands: VNU Science Press.Google Scholar
Maddison, A. (2008) Statistics on world population, GDP and per capita GDP, 1–2006 AD. Available at http://www.ggdc.net/Maddison/Historical_Statistics/horizontal-file_02-2010.xls.Google Scholar
Mello, M. (2010) Stochastic convergence across U.S. states. Macroeconomic Dynamics 15, 160183.CrossRefGoogle Scholar
Michelacci, C. and Zaffaroni, P. (2000) (Fractional) beta convergence. Journal of Monetary Economics 45, 129153.CrossRefGoogle Scholar
Nehru, V. and Dhareshwar, A. (1993) A new database on physical capital stock: Sources, methodology and results. Rivista de Analisis Economico 8, 3759.Google Scholar
Nehru, V., Swanson, E., and Dubey, A. (1995) A new database on human capital stock in developing and industrial countries: Sources, methodology and results. Journal of Development Economics 46, 379401.CrossRefGoogle Scholar
Pesaran, M.H. (2007) A pair-wise approach for testing output and growth convergence. Journal of Econometrics 138, 312355.CrossRefGoogle Scholar
Phillips, P.C.B. and Sul, D. (2007a) Some empirics on economic growth under heterogeneous technology. Journal of Macroeconomics 29, 455469.CrossRefGoogle Scholar
Phillips, P.C.B. and Sul, D. (2007b) Transition modeling and econometric convergence tests. Econometrica 75, 17711855.CrossRefGoogle Scholar
Robinson, P.M. (1995) Gaussian semiparametric estimation of long range dependence. Annals of Statistics 23, 16301661.CrossRefGoogle Scholar
Shimotsu, K. (2008) Exact local Whittle estimation of fractional integration with unknown mean and time trend. Econometric Theory 26, 501540.CrossRefGoogle Scholar
Shimotsu, K. and Phillips, P.C.B. (2005) Exact local Whittle estimation of fractional integration. Annals of Statistics 33, 18901933.CrossRefGoogle Scholar
Shimotsu, K. and Phillips, P.C.B. (2006) Local Whittle estimation of fractional integration and some of its variants. Journal of Econometrics 130, 209233.CrossRefGoogle Scholar
Velasco, C. (1999) Gaussian semiparametric estimation of non-stationary time series, Journal of Time Series Analysis 20, 87127.CrossRefGoogle Scholar
WDI (2009) World Development Indicators on CD-ROM. The World Bank.Google Scholar
WDI (2010) World Development Indicators on CD-ROM. The World Bank.Google Scholar
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