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Trend model testing of growth convergence in 15 OECD countries, 1946-1997

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  • Mikael Linden

Abstract

A framework based on a linear deterministic trend function is introduced in order to model growth convergence. The approach is a practical solution to the nonlinearity and nonstationarity found in the convergence of output-per-capita gaps between the USA and 14 OECD countries in 1946-1997. Convergence is found to be a typical feature of European OECD countries and Japan, but for some major countries it altered since the beginning of 1980. Some evidence of divergence exists too. Valid statistical inference on trend-growth estimates is based on sample-size standardized t - and Wald-test statistics, since the model residuals are close to I(1). Small-sample test values are derived using bootstrap methods.

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  • Mikael Linden, 2002. "Trend model testing of growth convergence in 15 OECD countries, 1946-1997," Applied Economics, Taylor & Francis Journals, vol. 34(2), pages 133-142.
  • Handle: RePEc:taf:applec:v:34:y:2002:i:2:p:133-142
    DOI: 10.1080/00036840010025119
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    Cited by:

    1. Tahir Mahmood & Tahir Mahmood & Mikael Linden, 2017. "Structural Change and Economic Growth in Schengen Region," International Journal of Economics and Financial Issues, Econjournals, vol. 7(1), pages 303-311.
    2. Răileanu-Szeles, Monica & Albu, Lucian, 2015. "Nonlinearities and divergences in the process of European financial integration," Economic Modelling, Elsevier, vol. 46(C), pages 416-425.
    3. repec:agr:journl:v:12(589):y:2013:i:12(589):p:57-66 is not listed on IDEAS
    4. Goran Radosavljeviæ & Mihajlo Babin & Miloš Eriæ & Jelisaveta Lazareviæ, 2020. "Income convergence between Southeast Europe and the European Union," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 38(2), pages 499-519.
    5. A. F. Galvao Jr & F. A. Reis Gomes, 2007. "Convergence or divergence in Latin America? A time series analysis," Applied Economics, Taylor & Francis Journals, vol. 39(11), pages 1353-1360.

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