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Trade Balances and the Terms of Trade in G-7 Countries: Penal Cointegration Approach

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  • Shigeyuki HAMORI

Abstract

This paper empirically analyzes the long-run equilibrium between trade balances and the terms of trade using the nonstationary panel data analysis. Empirical results indicate that trade balances and the terms of trade do not have cointegrating relation for G-7 countries. This implies that the deterioration in the terms of trade will not necessarily improve a country's trade balance in the long-run.

Suggested Citation

  • Shigeyuki HAMORI, 2008. "Trade Balances and the Terms of Trade in G-7 Countries: Penal Cointegration Approach," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 8(2), pages 13-22.
    • Handle: RePEc:eaa:aeinde:v:8:y:2008:i:2_2
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    References listed on IDEAS

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    1. Peter Phillips & Hyungsik Moon, 2000. "Nonstationary panel data analysis: an overview of some recent developments," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 263-286.
    2. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    3. Morris Goldstein & Mohsin S. Khan, 2017. "The Supply and Demand for Exports: A Simultaneous Approach," World Scientific Book Chapters, in: TRADE CURRENCIES AND FINANCE, chapter 2, pages 83-104, World Scientific Publishing Co. Pte. Ltd..
    4. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    5. Pedroni, Peter, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-670, Special I.
    6. Arize, A. C., 1996. "Cointegration test of a long-run relation between the trade balance and the terms of trade in sixteen countries," The North American Journal of Economics and Finance, Elsevier, vol. 7(2), pages 203-215.
    7. Peter Pedroni, 2001. "Purchasing Power Parity Tests In Cointegrated Panels," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 727-731, November.
    8. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    9. Haynes, Stephen E & Stone, Joe A, 1982. "Impact of the Terms of Trade on the U.S. Trade Balance: A Reexamination," The Review of Economics and Statistics, MIT Press, vol. 64(4), pages 702-706, November.
    10. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    11. Houthakker, Hendrik S & Magee, Stephen P, 1969. "Income and Price Elasticities in World Trade," The Review of Economics and Statistics, MIT Press, vol. 51(2), pages 111-125, May.
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    Cited by:

    1. Syed Jawaid & Abdul Waheed, 2011. "Effects of Terms of Trade and its Volatility on Economic Growth: A Cross Country Empirical Investigation," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 18(2), pages 217-229, December.
    2. Muhammad Shafiullah & Faridul Islam & Ravinthirakumaran Navaratnam, 2020. "The Harberger–Laursen–Metzler effect: evidence from five SAARC countries," Empirical Economics, Springer, vol. 58(4), pages 1749-1777, April.
    3. Mubasher Iqbal & Rukshana Kalim & Noman Arshed, 2019. "Domestic and Foreign Incomes and Trade Balance - A Case of South Asian Economies," Asian Development Policy Review, Asian Economic and Social Society, vol. 7(4), pages 355-368, December.
    4. Dong, Fang, 2017. "Testing the Marshall-Lerner condition between the U.S. and other G7 member countries," The North American Journal of Economics and Finance, Elsevier, vol. 40(C), pages 30-40.
    5. Bonga, Wellington G., 2018. "Trade Balance Analysis in Zimbabwe: Import and Export Examination Using Vector Auto-Regression Model," MPRA Paper 89002, University Library of Munich, Germany.
    6. Islam, Faridul & Tahir , Mohammad Iqbal & Shahbaz, Muhammad, 2013. "Income Terms of Trade and Trade Balance: The Long Run Evidence from Bangladesh," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 36(2), pages 109-122, June.
    7. Jawaid, Syed Tehseen & Raza, Syed Ali, 2013. "Effects of terms of trade on growth performance of India," Economic Modelling, Elsevier, vol. 33(C), pages 940-946.
    8. Jawaid, Syed Tehseen & Raza, Syed Ali, 2012. "Effects of terms of trade and its volatility on economic growth in India," MPRA Paper 38998, University Library of Munich, Germany.
    9. Rizwana YASMEEN* & Muhammad HAFEEZ** & Ihtsham ul Haq PADDA***, 2018. "TRADE BALANCE AND TERMS OF TRADE RELATIONSHIP: Evidence from Pakistan," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 28(2), pages 173-188.

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    More about this item

    Keywords

    panel unit root; panel cointegration; Marshall Lerner condition;
    All these keywords.

    JEL classification:

    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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