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Cointegration and Structural Change in the Exports-Gdp Nexus: The Case of Iran, 1960-2003

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  • Pahlavani, M.

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Abstract

This paper examines the major sources of economic growth in Iran using annual time series data (1960 to 2003). The time series properties of the data are analysed by Perron’s innovational outlier and additive outlier models. The empirical results based these models show that there is not enough evidence against the null hypothesis of unit root for all of the variables under investigation. Moreover, we found that the most significant structural breaks over the last four decades which have been detected endogenously in fact correspond to the regime change (e.g the 1979 Islamic revolution) and the Iraqi war in the 1980s. Finally, an ARDL methodology is employed to obtain the short and long-term determinants of economic growth. The results show that while the effects of gross capital formation and oil exports are highly significant, as expected, non-oil exports and human capital have an even smaller effect than had been anticipated.

Suggested Citation

  • Pahlavani, M., 2005. "Cointegration and Structural Change in the Exports-Gdp Nexus: The Case of Iran, 1960-2003," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 2(4), pages 37-56.
  • Handle: RePEc:eaa:ijaeqs:v:2:y2005:i:4_3
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    File URL: http://www.usc.es/economet/reviews/ijaeqs243.pdf
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    References listed on IDEAS

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    1. Long, N.V. & Wong, K.Y., 1996. "Endogenous Growth and International Trade: A Survey," Discussion Papers in Economics at the University of Washington 96-07, Department of Economics at the University of Washington.
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    3. Perron, Pierre, 1997. "Further evidence on breaking trend functions in macroeconomic variables," Journal of Econometrics, Elsevier, vol. 80(2), pages 355-385, October.
    4. M. Hashem Pesaran & Ron P. Smith, 1998. "Structural Analysis of Cointegrating VARs," Journal of Economic Surveys, Wiley Blackwell, vol. 12(5), pages 471-505, December.
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    7. Grossman, Gene M. & Helpman, Elhanan, 1991. "Trade, knowledge spillovers, and growth," European Economic Review, Elsevier, vol. 35(2-3), pages 517-526, April.
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    9. Feder, Gershon, 1983. "On exports and economic growth," Journal of Development Economics, Elsevier, vol. 12(1-2), pages 59-73.
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    Cited by:

    1. Ousama Ben-Salha & Maamar Sebri, 2014. "A multivariate analysis of the causal flow between renewable energy consumption and GDP in Tunisia," Economics Bulletin, AccessEcon, vol. 34(4), pages 2396-2410.
    2. Loi, Tian Sheng Allan & Loo, Soh Leng, 2016. "The impact of Singapore’s residential electricity conservation efforts and the way forward. Insights from the bounds testing approach," Energy Policy, Elsevier, vol. 98(C), pages 735-743.
    3. Harvie, Charles & Pahlavani, Mosayeb, 2006. "Sources of Economic Growth in South Korea: An Application of the ARDL Analysis in the Presence of Structural Breaks - 1980-2005," Economics Working Papers wp06-17, School of Economics, University of Wollongong, NSW, Australia.
    4. Mohsen Mehrara & Abbas Ali Rezaei, 2014. "The Long Run Relationship between Government Revenue and Expenditure in Iran: A Co integration Analysis in the Presence of Structural Breaks," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(5), pages 288-301, May.

    More about this item

    Keywords

    structural break; unit root tests; ARDL method; and Iranian economy;

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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