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Testing the Balanced Growth Hypothesis in the Presence of Structural Breaks: Evidence from Developed and Developing Countries

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  • Arjun
  • Bibhuti Ranjan Mishra

Abstract

The balanced growth theory and the neoclassical growth model predict that certain macroeconomic variables such as output, consumption, and investment grow at a constant rate. Analytically, it indicates that the consumption-output ratio and the investment-output ratio (termed "great ratios") must be stationary. Moreover, consumption and investment must be cointegrated with output. This paper examines these implications with respect to developed (G7) and emerging (E7) countries using data for the period 1970-2019. The validity of the balanced growth hypothesis (BGH) is tested by using unit root tests (univariate analysis) and cointegration techniques (multivariate analysis) that permits endogenously determined structural breaks. The findings of our univariate analysis suggest limited evidence of the BGH in developed and developing countries. The multivariate analysis exhibits more supportive evidence of the BGH in five developed countries and limited evidence for two developing countries. The study also employs the Westerlund (2006) panel cointegration test with structural breaks to examine the validity of the BGH. Empirical findings validate the BGH for the G7 countries, while it is not validated for E7 countries. In sum, the study promulgates the use of structural breaks in a multivariate setup in testing the BGH to find robust evidence.

Suggested Citation

  • Arjun & Bibhuti Ranjan Mishra, 2024. "Testing the Balanced Growth Hypothesis in the Presence of Structural Breaks: Evidence from Developed and Developing Countries," Prague Economic Papers, Prague University of Economics and Business, vol. 2024(1), pages 1-35.
    • Handle: RePEc:prg:jnlpep:v:2024:y:2024:i:1:id:849:p:1-35
    DOI: 10.18267/j.pep.849
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    References listed on IDEAS

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    1. Ferdaus Hossain & Pin Chung, 1999. "Long-run implications of neoclassical growth models: empirical evidence from Australia, New Zealand, South Korea and Taiwan," Applied Economics, Taylor & Francis Journals, vol. 31(9), pages 1073-1082.
    2. Lahiri, Kajal & Mamingi, Nlandu, 1995. "Testing for cointegration: Power versus frequency of observation -- another view," Economics Letters, Elsevier, vol. 49(2), pages 121-124, August.
    3. Xiao Jiang & Jose Caraballo‐Cueto & Chau Nguyen, 2020. "Balanced versus unbalanced growth: Revisiting the forgotten debate with new empirics," Review of Development Economics, Wiley Blackwell, vol. 24(4), pages 1430-1446, November.
    4. Caldara, Dario & Fuentes-Albero, Cristina & Gilchrist, Simon & Zakrajšek, Egon, 2016. "The macroeconomic impact of financial and uncertainty shocks," European Economic Review, Elsevier, vol. 88(C), pages 185-207.
    5. Ghate, Chetan & Wright, Stephen, 2012. "The “V-factor”: Distribution, timing and correlates of the great Indian growth turnaround," Journal of Development Economics, Elsevier, vol. 99(1), pages 58-67.
    6. Niels Kemper & Dierk Herzer & Luca Zamparelli, 2011. "Balanced growth and structural breaks: evidence for Germany," Empirical Economics, Springer, vol. 40(2), pages 409-424, April.
    7. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    8. Sahbi FARHANI, 2012. "Tests of Parameters Instability: Theoretical Study and Empirical Analysis on Two Types of Models (ARMA Model and Market Model)," International Journal of Economics and Financial Issues, Econjournals, vol. 2(3), pages 246-266.
    9. Neusser, Klaus, 1991. "Testing the long-run implications of the neoclassical growth model," Journal of Monetary Economics, Elsevier, vol. 27(1), pages 3-37, February.
    10. Serletis, Apostolos, 1994. "Testing the long-run implications of the neoclassical growth model for Canada," Journal of Macroeconomics, Elsevier, vol. 16(2), pages 329-346.
    11. Carl E. Walsh, 1993. "What caused the 1990-1991 recession?," Economic Review, Federal Reserve Bank of San Francisco, pages 33-48.
    12. F. Giavazzi & L. Spaventa, 1989. "Italy: The Real Effects of Inflation and Disinflation," Working Papers 71, Dipartimento Scienze Economiche, Universita' di Bologna.
    13. David Harvey & Stephen Leybourne & Paul Newbold, 2003. "How great are the great ratios?," Applied Economics, Taylor & Francis Journals, vol. 35(2), pages 163-177.
    14. Mills, Terence C, 2001. "Great Ratios and Common Cycles: Do They Exist for the UK?," Bulletin of Economic Research, Wiley Blackwell, vol. 53(1), pages 35-51, January.
    15. Nicholas Kaldor, 1961. "Capital Accumulation and Economic Growth," International Economic Association Series, in: D. C. Hague (ed.), The Theory of Capital, chapter 0, pages 177-222, Palgrave Macmillan.
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    More about this item

    Keywords

    balanced growth; great ratios; structural breaks; E7 and G7 countries;
    All these keywords.

    JEL classification:

    • 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
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production

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