IDEAS home Printed from https://ideas.repec.org/a/prg/jnlpep/v2024y2024i1id849p1-35.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://pep.vse.cz/doi/10.18267/j.pep.849.html
    Download Restriction: free of charge
    File URL: http://pep.vse.cz/doi/10.18267/j.pep.849.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.18267/j.pep.849?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Carl E. Walsh, 1993. "What caused the 1990-1991 recession?," Economic Review, Federal Reserve Bank of San Francisco, pages 33-48.
    10. F. Giavazzi & L. Spaventa, 1989. "Italy: The Real Effects of Inflation and Disinflation," Working Papers 71, Dipartimento Scienze Economiche, Universita' di Bologna.
    11. David Harvey & Stephen Leybourne & Paul Newbold, 2003. "How great are the great ratios?," Applied Economics, Taylor & Francis Journals, vol. 35(2), pages 163-177.
    12. 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.
    13. 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.
    14. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. M.S.Rafiq, 2006. "Business Cycle Moderation - Good Policies or Good Luck: Evidence and Explanations for the Euro Area," Discussion Paper Series 2006_21, Department of Economics, Loughborough University.
    2. Chang, Juin-Jen & Lin, Chang-Ching & Lin, Hsieh-Yu, 2016. "Great ratios and international openness," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 110-121.
    3. Kapetanios, George & Millard, Stephen & Price, Simon & Petrova, Katerina, 2018. "Time varying cointegration and the UK Great Ratios," Essex Finance Centre Working Papers 23320, University of Essex, Essex Business School.
    4. Luca Zamparelli, 2011. "Induced Innovation, Endogenous Growth, and Income Distribution: a Model along Classical Lines," Working Papers CELEG 1102, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    5. Attfield, Cliff & Temple, Jonathan R.W., 2010. "Balanced growth and the great ratios: New evidence for the US and UK," Journal of Macroeconomics, Elsevier, vol. 32(4), pages 937-956, December.
    6. M.S.Rafiq, 2006. "Great Ratios, Balanced Growth and Stochastic Trends: Evidence for the Euro Area," Discussion Paper Series 2006_20, Department of Economics, Loughborough University.
    7. Issler, João Victor & Ferreira, Pedro Cavalcanti, 1998. "Time-Series Properties and Empirical Evidence of Growth and Infrastructure," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 18(1), May.
    8. Vinod, H. D. & Basu, Parantap, 1995. "Forecasting consumption, income and real interest rates from alternative state space models," International Journal of Forecasting, Elsevier, vol. 11(2), pages 217-231, June.
    9. Diego Romero-Avila, 2008. "A confirmatory analysis of the unit root hypothesis for OECD consumption-income ratios," Applied Economics, Taylor & Francis Journals, vol. 40(17), pages 2271-2278.
    10. B. T. Ewing & M. J. Piette & J. E. Payne, 2004. "Correction," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 71(3), pages 557-557, September.
    11. Trofimov, Ivan D., 2017. "Capital productivity in industrialized economies: evidence from error-correction model and Lagrange Multiplier tests," MPRA Paper 81655, University Library of Munich, Germany.
    12. Mallory Mindy & Lence Sergio H., 2012. "Testing for Cointegration in the Presence of Moving Average Errors," Journal of Time Series Econometrics, De Gruyter, vol. 4(2), pages 1-68, November.
    13. Kapetanios, George & Millard, Stephen & Petrova, Katerina & Price, Simon, 2020. "Time-varying cointegration with an application to the UK Great Ratios," Economics Letters, Elsevier, vol. 193(C).
    14. Cliff L.F. Attfield & Jonathan R.W. Temple, 2003. "Measuring trend output: how useful are the Great Ratios?," Bristol Economics Discussion Papers 03/555, School of Economics, University of Bristol, UK.
    15. Farhani, Sahbi & Shahbaz, Muhammad & Arouri, Mohamed & Teulon, Frédéric, 2014. "The role of natural gas consumption and trade in Tunisia's output," Energy Policy, Elsevier, vol. 66(C), pages 677-684.
    16. Romero-Ávila, Diego, 2009. "Are OECD consumption-income ratios stationary after all?," Economic Modelling, Elsevier, vol. 26(1), pages 107-117, January.
    17. Ivan D. Trofimov, 2017. "Capital Productivity In Industrialised Economies: Evidence From Error-Correction Model And Lagrange Multiplier Tests," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 62(215), pages 53-80, October –.
    18. Sahbi Farhani & Anissa Chaibi & Christophe Rault, 2014. "A study of CO2 emissions, output,energy consumption, and trade," Working Papers 2014-56, Department of Research, Ipag Business School.
    19. Ekaterina Ponomareva & Alexandra Bozhechkova & Alexandr Knobel, 2012. "Factors of Economic Growth," Published Papers 172, Gaidar Institute for Economic Policy, revised 2013.
    20. repec:ipg:wpaper:2014-057 is not listed on IDEAS
    21. Claude Lopez & Javier Reyes, 2009. "Stationary properties of the real interest rate and the per-capita consumption growth rate: empirical evidence for theoretical arguments," Applied Economics, Taylor & Francis Journals, vol. 41(13), pages 1643-1651.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:prg:jnlpep:v:2024:y:2024:i:1:id:849:p:1-35. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Stanislav Vojir (email available below). General contact details of provider: https://edirc.repec.org/data/uevsecz.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.