IDEAS home Printed from https://ideas.repec.org/a/oup/cambje/v38y2014i4p817-838..html
   My bibliography  Save this article

The balance of payments-constrained growth rate and the natural rate of growth: new empirical evidence

Author

Listed:
  • Matteo Lanzafame

Abstract

This paper implements a panel approach to investigate the empirical relevance of ‘Thirlwall’s law‘, which states that long-run growth must be consistent with balance of payments (BOP) equilibrium and is thus determined on the demand side. Building on autoregressive distributed lag modelling, mean-group and pooled mean-group estimation methods, we use annual data over the 1960–2010 period for a panel of 22 OECD countries and find significant support for the ‘law’. Next, we also explore empirically the hypothesis that the BOP-constrained growth rate (y B) must equal the natural (or potential) rate of growth (y N) and find that the data do not reject this hypothesis. Finally, we adopt a new approach, based on panel Granger causality methods, to explore the direction of causality between y B and y N. The results indicate the existence of unidirectional long-run causality from y B to y N, thus reinforcing the view, embodied in the law that long-run growth is determined by demand and constrained by the BOP.

Suggested Citation

  • Matteo Lanzafame, 2014. "The balance of payments-constrained growth rate and the natural rate of growth: new empirical evidence," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 38(4), pages 817-838.
  • Handle: RePEc:oup:cambje:v:38:y:2014:i:4:p:817-838.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/cje/bet058
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Other versions of this item:

    References listed on IDEAS

    as
    1. Loayza, Norman V. & Ranciere, Romain, 2006. "Financial Development, Financial Fragility, and Growth," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(4), pages 1051-1076, June.
    2. Thomas Palley, 2003. "Pitfalls in the Theory of Growth: An application to the balance of payments constrained growth model," Review of Political Economy, Taylor & Francis Journals, vol. 15(1), pages 75-84.
    3. Philip Arestis & John S.L. McCombie & Roger Vickerman (ed.), 2006. "Growth and Economic Development," Books, Edward Elgar Publishing, number 3463.
    4. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    5. Lena Vogel, 2009. "The endogeneity of the natural rate of growth - an empirical study for Latin-American countries," International Review of Applied Economics, Taylor & Francis Journals, vol. 23(1), pages 41-53.
    6. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    7. Kajal Lahiri, 2005. "Analysis of Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 1093-1095.
    8. Anthony P. Thirlwall, 2011. "The Balance of Payments Constraint as an Explanation of International Growth Rate Differences," PSL Quarterly Review, Economia civile, vol. 64(259), pages 429-438.
    9. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    10. Mark Setterfield (ed.), 2010. "Handbook of Alternative Theories of Economic Growth," Books, Edward Elgar Publishing, number 12814.
    11. Karlsson, Sune & Lothgren, Mickael, 2000. "On the power and interpretation of panel unit root tests," Economics Letters, Elsevier, vol. 66(3), pages 249-255, March.
    12. Miguel A. LeÛn-Ledesma & A. P. Thirlwall, 2002. "The endogeneity of the natural rate of growth," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 26(4), pages 441-459, July.
    13. 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.
    14. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    15. Gilberto A. Libânio, 2009. "Aggregate demand and the endogeneity of the natural rate of growth: evidence from Latin American economies," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 33(5), pages 967-984, September.
    16. Matteo Lanzafame, 2010. "The endogeneity of the natural rate of growth in the regions of Italy," International Review of Applied Economics, Taylor & Francis Journals, vol. 24(5), pages 533-552.
    17. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    18. Jose Antonio Alonso, 1999. "Growth and the external constraint: lessons from the Spanish case," Applied Economics, Taylor & Francis Journals, vol. 31(2), pages 245-253.
    19. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    20. Usha Nair‐Reichert & Diana Weinhold, 2001. "Causality Tests for Cross‐Country Panels: a New Look at FDI and Economic Growth in Developing Countries," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(2), pages 153-171, May.
    21. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    22. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    23. 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.
    24. Mark Dray & A. P. Thirlwall, 2011. "The endogeneity of the natural rate of growth for a selection of Asian countries," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 33(3), pages 451-468, April.
    25. Bruno, Giovanni S.F., 2005. "Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models," Economics Letters, Elsevier, vol. 87(3), pages 361-366, June.
    26. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    27. Orazio P. Attanasio & Lucio Picci & Antonello E. Scorcu, 2000. "Saving, Growth, and Investment: A Macroeconomic Analysis Using a Panel of Countries," The Review of Economics and Statistics, MIT Press, vol. 82(2), pages 182-211, May.
    28. Hartwig, Jochen, 2010. "Is health capital formation good for long-term economic growth? - Panel Granger-causality evidence for OECD countries," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 314-325, March.
    29. repec:bla:obuest:v:63:y:2001:i:2:p:153-71 is not listed on IDEAS
    30. Anthony Philip Thirlwall, 2012. "Balance of Payments Constrained Growth Models: History and Overview," Palgrave Macmillan Books, in: Elias Soukiazis & Pedro A. Cerqueira (ed.), Models of Balance of Payments Constrained Growth, chapter 1, pages 11-49, Palgrave Macmillan.
    31. Matteo Lanzafame, 2009. "Is Regional Growth in Italy Endogenous?," Regional Studies, Taylor & Francis Journals, vol. 43(8), pages 1001-1013.
    32. Gutierrez, Luciano, 2003. "On the power of panel cointegration tests: a Monte Carlo comparison," Economics Letters, Elsevier, vol. 80(1), pages 105-111, July.
    33. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    34. Alberto Bagnai, 2010. "Structural changes, cointegration and the empirics of Thirlwall's law," Applied Economics, Taylor & Francis Journals, vol. 42(10), pages 1315-1329.
    35. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    36. Miguel A. León-Ledesma & Matteo Lanzafame, 2010. "The Endogenous Nature of the ‘Natural’ Rate of Growth," Chapters, in: Mark Setterfield (ed.), Handbook of Alternative Theories of Economic Growth, chapter 10, Edward Elgar Publishing.
    37. Kim, Bong-Han & Min, Hong-Ghi & Hwang, Young-Soon & McDonald, Judith A., 2009. "Are Asian countries' current accounts sustainable? Deficits, even when associated with high investment, are not costless," Journal of Policy Modeling, Elsevier, vol. 31(2), pages 163-179.
    38. Martinez-Zarzoso, Inmaculada & Bengochea-Morancho, Aurelia, 2004. "Pooled mean group estimation of an environmental Kuznets curve for CO2," Economics Letters, Elsevier, vol. 82(1), pages 121-126, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Arus Tunian, 2015. "Current Account Deficit And Economic Growth In Armenia," Studies and Scientific Researches. Economics Edition, "Vasile Alecsandri" University of Bacau, Faculty of Economic Sciences, issue 21.
    2. Felipe, Jesus & Lanzafame, Matteo, 2020. "The PRC's long-run growth through the lens of the export-led growth model," Journal of Comparative Economics, Elsevier, vol. 48(1), pages 163-181.
    3. Marwil J. Dávila-Fernández, 2019. "Manufacture Content and Financialisation: An Empirical Assessment," Department of Economics University of Siena 811, Department of Economics, University of Siena.
    4. Valeriy V. Mironov & Liudmila D. Konovalova, 2019. "Structural changes and economic growth in the world economy and Russia," Russian Journal of Economics, ARPHA Platform, vol. 5(1), pages 1-26, April.
    5. Dávila-Fernández, Marwil J. & Sordi, Serena, 2019. "Distributive cycles and endogenous technical change in a BoPC growth model," Economic Modelling, Elsevier, vol. 77(C), pages 216-233.
    6. Robert A. Blecker, 2022. "New advances and controversies in the framework of balance‐of‐payments‐constrained growth," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 429-467, April.
    7. Mohammed Al- Mahish, 2017. "Does Balance of Payments Constrained Growth Model Hold in Saudi Arabia?," Journal of Finance and Economics Research, Geist Science, Iqra University, Faculty of Business Administration, vol. 2(1), pages 1-15, March.
    8. Basil Oberholzer, 2023. "Green Growth and the Balance‐of‐payments Constraint," Development and Change, International Institute of Social Studies, vol. 54(4), pages 804-840, July.
    9. Magacho, Guilherme R. & Spinola, Danilo, 2020. "Supply and demand in Kaldorian growth models: a proposal for dynamic adjustment," MERIT Working Papers 2020-032, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    10. Ana Lourdes Morones Carrillo, 2016. "Crecimiento económico en México: restricción por la balanza de pagos," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(1), pages 39-58, May.
    11. Felipe, Jesus & Lanzafame, Matteo & Zhuang, Juzhong, 2014. "The People’s Republic of China's Potential Growth Rate: The Long-Run Constraints," ADB Economics Working Paper Series 418, Asian Development Bank.
    12. Dávila-Fernández, Marwil J. & Oreiro, José L. & Dávila Dávila, Mario W., 2018. "Endogenizing non-price competitiveness in a BoPC growth model with capital accumulation," Structural Change and Economic Dynamics, Elsevier, vol. 44(C), pages 77-87.
    13. Juzhong Zhuang & Matteo Lanzafame & Jesus Felipe, 2015. "The People’s Republic of China's Potential Growth Rate: The Long-Run Constraints," Working Papers id:6656, eSocialSciences.
    14. Marwil J. Dávila-Fernández, 2018. "Alternative Approaches to Technological Change when Growth is BoPC," Department of Economics University of Siena 795, Department of Economics, University of Siena.
    15. A.P. Thirlwall, 2018. "Una vita nell’economia," Moneta e Credito, Economia civile, vol. 71(283), pages 179-210.
    16. Dávila-Fernández, Marwil J. & Sordi, Serena, 2019. "Path dependence, distributive cycles and export capacity in a BoPC growth model," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 258-272.
    17. Kevin S. Nell & A.P. Thirlwall, 2017. "Perche' la produttivita' degli investimenti varia tra paesi? (Why does the productivity of investment vary across countries?)," Moneta e Credito, Economia civile, vol. 70(279), pages 197-231.
    18. Marwil J. Dávila-Fernández, 2020. "Alternative approaches to technological change in a small open economy," Journal of Evolutionary Economics, Springer, vol. 30(2), pages 279-317, April.
    19. Leon Podkaminer, 2017. "“Thirlwall’s Law” reconsidered," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(1), pages 29-57, February.

    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. Dávila-Fernández, Marwil J. & Sordi, Serena, 2019. "Path dependence, distributive cycles and export capacity in a BoPC growth model," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 258-272.
    2. Andreas Dietrich, 2012. "Does growth cause structural change, or is it the other way around? A dynamic panel data analysis for seven OECD countries," Empirical Economics, Springer, vol. 43(3), pages 915-944, December.
    3. Daude, Christian & Levy Yeyati, Eduardo & Nagengast, Arne J., 2016. "On the effectiveness of exchange rate interventions in emerging markets," Journal of International Money and Finance, Elsevier, vol. 64(C), pages 239-261.
    4. Badi H. Baltagi & Chihwa Kao, 2000. "Nonstationary Panels, Cointegration in Panels and Dynamic Panels: A Survey," Center for Policy Research Working Papers 16, Center for Policy Research, Maxwell School, Syracuse University.
    5. Herzer, Dierk, 2013. "Cross-Country Heterogeneity and the Trade-Income Relationship," World Development, Elsevier, vol. 44(C), pages 194-211.
    6. Gazi Hassan & Arusha Cooray & Mark Holmes, 2017. "The effect of female and male health on economic growth: cross-country evidence within a production function framework," Empirical Economics, Springer, vol. 52(2), pages 659-689, March.
    7. Naima Chrid & Sami Saafi & Mohamed Chakroun, 2021. "Export Upgrading and Economic Growth: a Panel Cointegration and Causality Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 811-841, June.
    8. Neelu Seetaram & Sylvain Petit, 2012. "Panel data analysis in Tourism Research," Post-Print hal-01831529, HAL.
    9. R. Golinelli & I. Mammi & A. Musolesi, 2018. "Parameter heterogeneity, persistence and cross-sectional dependence: new insights on fiscal policy reaction functions for the Euro area," Working Papers wp1120, Dipartimento Scienze Economiche, Universita' di Bologna.
    10. Vishal Jaunky, 2013. "Democracy and economic growth in Sub-Saharan Africa: a panel data approach," Empirical Economics, Springer, vol. 45(2), pages 987-1008, October.
    11. Mahir Binici & Yin-Wong Cheung & Kon S. Lai, 2011. "Trade Openness, Market Competition, and Inflation: Some Sectoral Evidence from OECD Countries," CESifo Working Paper Series 3690, CESifo.
    12. Garita, Gus, 2009. "How Does Financial Openness Affect Economic Growth and its Components?," MPRA Paper 20099, University Library of Munich, Germany.
    13. MAÏ ASSAN CHEDI, Maman, 2022. "Does Defence Expenditure Affect Education and Health expenditures in Saharan Africa?," African Journal of Economic Review, African Journal of Economic Review, vol. 10(4), September.
    14. Herzer, Dierk & Nunnenkamp, Peter, 2015. "Income inequality and health: Evidence from developed and developing countries," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-56.
    15. Magnani, Natalia & Vaona, Andrea, 2013. "Regional spillover effects of renewable energy generation in Italy," Energy Policy, Elsevier, vol. 56(C), pages 663-671.
    16. Giovanni S.F. Bruno & Anna M. Falzoni & Rodolfo Helg, 2004. "Measuring the effect of globalization on labour demand elasticity: An empirical application to OECD countries," KITeS Working Papers 153, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Feb 2004.
    17. Brücker, Herbert & Siliverstovs, Boriss, 2006. "Estimating and forecasting European migration : methods, problems and results," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 39(1), pages 35-56.
    18. Al-Jahwari, Salim Ahmed Said, 2021. "Does the Twin-Deficits doctrine apply to the Gulf Cooperation Council? A dynamic panel VAR-X model approach," MPRA Paper 111232, University Library of Munich, Germany.
    19. Robert A. Blecker, 2022. "New advances and controversies in the framework of balance‐of‐payments‐constrained growth," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 429-467, April.
    20. Jaunky, Vishal Chandr, 2012. "Is there a material Kuznets curve for aluminium? evidence from rich countries," Resources Policy, Elsevier, vol. 37(3), pages 296-307.

    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies

    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:oup:cambje:v:38:y:2014:i:4:p:817-838.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/cje .

    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.