IDEAS home Printed from https://ideas.repec.org/a/spr/portec/v12y2013i1p35-56.html
   My bibliography  Save this article

The long-run behaviour of the terms of trade between primary commodities and manufactures: a panel data approach

Author

Listed:
  • Ana Iregui
  • Jesús Otero

Abstract

This paper examines the Prebisch and Singer hypothesis using a panel of twenty-four commodity prices from 1900 to 2010. The modelling approach stems from the need to meet two key concerns: (i) the presence of cross-sectional dependence among commodity prices; and (ii) the identification of potential structural breaks. To address these concerns, the Hadri and Rao (Oxf Bull Econ Stat 70:245–269, 2008 ) test is employed. The findings suggest that all commodity prices exhibit a structural break whose location differs across series, and that support for the Prebisch and Singer hypothesis is mixed. Once the breaks are removed from the underlying series, the persistence of commodity price shocks is shorter than that obtained in other studies using alternative methodologies. Copyright ISEG 2013

Suggested Citation

  • Ana Iregui & Jesús Otero, 2013. "The long-run behaviour of the terms of trade between primary commodities and manufactures: a panel data approach," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 12(1), pages 35-56, April.
    • Handle: RePEc:spr:portec:v:12:y:2013:i:1:p:35-56
    DOI: 10.1007/s10258-012-0086-3
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10258-012-0086-3
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10258-012-0086-3?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 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. John Y. Campbell & Pierre Perron, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots," NBER Chapters, in: NBER Macroeconomics Annual 1991, Volume 6, pages 141-220, National Bureau of Economic Research, Inc.
    2. Caner, M. & Kilian, L., 2001. "Size distortions of tests of the null hypothesis of stationarity: evidence and implications for the PPP debate," Journal of International Money and Finance, Elsevier, vol. 20(5), pages 639-657, October.
    3. Anonymous, 1949. "Economic and Social Council," International Organization, Cambridge University Press, vol. 3(4), pages 673-689, November.
    4. Kaddour Hadri & Yao Rao, 2008. "Panel Stationarity Test with Structural Breaks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(2), pages 245-269, April.
    5. Tae‐Hwan Kim & Stephan Pfaffenzeller & Tony Rayner & Paul Newbold, 2003. "Testing for Linear Trend with Application to Relative Primary Commodity Prices," Journal of Time Series Analysis, Wiley Blackwell, vol. 24(5), pages 539-551, September.
    6. Ghoshray, Atanu, 2011. "A reexamination of trends in primary commodity prices," Journal of Development Economics, Elsevier, vol. 95(2), pages 242-251, July.
    7. Deaton, Angus & Miller, Ron, 1996. "International Commodity Prices, Macroeconomic Performance and Politics in Sub-Saharan Africa," Journal of African Economies, Centre for the Study of African Economies, vol. 5(3), pages 99-191, October.
    8. Bleaney, Michael F & Greenaway, David, 1993. "Long-Run Trends in the Relative Price of Primary Commodities and in the Terms of Trade of Developing Countries," Oxford Economic Papers, Oxford University Press, vol. 45(3), pages 349-363, July.
    9. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    10. Chang, Yoosoon, 2004. "Bootstrap unit root tests in panels with cross-sectional dependency," Journal of Econometrics, Elsevier, vol. 120(2), pages 263-293, June.
    11. Carmen M. Reinhart & Peter Wickham, 1994. "Commodity Prices: Cyclical Weakness or Secular Decline?," IMF Staff Papers, Palgrave Macmillan, vol. 41(2), pages 175-213, June.
    12. Harvey, David I. & Leybourne, Stephen J. & Taylor, A.M. Robert, 2009. "Simple, Robust, And Powerful Tests Of The Breaking Trend Hypothesis," Econometric Theory, Cambridge University Press, vol. 25(4), pages 995-1029, August.
    13. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    14. Josep Carrion-i-Silvestre & Andreu Sansó, 2006. "A guide to the computation of stationarity tests," Empirical Economics, Springer, vol. 31(2), pages 433-448, June.
    15. von Hagen, Juergen, 1989. "Relative Commodity Prices and Cointegration," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(4), pages 497-503, October.
    16. David I. Harvey & Neil M. Kellard & Jakob B. Madsen & Mark E. Wohar, 2010. "The Prebisch-Singer Hypothesis: Four Centuries of Evidence," The Review of Economics and Statistics, MIT Press, vol. 92(2), pages 367-377, May.
    17. Powell, Andrew, 1991. "Commodity and Developing Country Terms of Trade: What Does the Long Run Show?," Economic Journal, Royal Economic Society, vol. 101(409), pages 1485-1496, November.
    18. Zanias, George P., 2005. "Testing for trends in the terms of trade between primary commodities and manufactured goods," Journal of Development Economics, Elsevier, vol. 78(1), pages 49-59, October.
    19. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    20. Pindyck, Robert S & Rotemberg, Julio J, 1990. "The Excess Co-movement of Commodity Prices," Economic Journal, Royal Economic Society, vol. 100(403), pages 1173-1189, December.
    21. Junsoo Lee & Mark C. Strazicich, 2003. "Minimum Lagrange Multiplier Unit Root Test with Two Structural Breaks," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 1082-1089, November.
    22. Mariam Camarero & Josep Lluís Carrion‐i‐Silvestre & Cecilio Tamarit, 2010. "Does Real Interest Rate Parity Hold For Oecd Countries? New Evidence Using Panel Stationarity Tests With Cross‐Section Dependence And Structural Breaks," Scottish Journal of Political Economy, Scottish Economic Society, vol. 57(5), pages 568-590, November.
    23. Cuddington, John T & Urzua, Carlos M, 1989. "Trends and Cycles in the Net Barter Terms of Trade: A New Approach," Economic Journal, Royal Economic Society, vol. 99(396), pages 426-442, June.
    24. Anonymous, 1949. "Economic and Social Council," International Organization, Cambridge University Press, vol. 3(2), pages 307-319, May.
    25. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    26. Kellard, Neil & Wohar, Mark E., 2006. "On the prevalence of trends in primary commodity prices," Journal of Development Economics, Elsevier, vol. 79(1), pages 146-167, February.
    27. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    28. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    29. Giulietti, Monica & Otero, Jesus & Smith, Jeremy, 2006. "Testing for stationarity in heterogeneous panel data in the presence of cross section dependence," Economic Research Papers 269651, University of Warwick - Department of Economics.
    30. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    31. Josep Lluís Carrion-i-Silvestre & Tomás del Barrio-Castro & Enrique López-Bazo, 2005. "Breaking the panels: An application to the GDP per capita," Econometrics Journal, Royal Economic Society, vol. 8(2), pages 159-175, July.
    32. Anonymous, 1949. "Economic and Social Council," International Organization, Cambridge University Press, vol. 3(3), pages 501-515, August.
    33. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    34. Hall, Alastair R, 1994. "Testing for a Unit Root in Time Series with Pretest Data-Based Model Selection," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 461-470, October.
    35. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    36. Perron, Pierre, 1990. "Testing for a Unit Root in a Time Series with a Changing Mean," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 153-162, April.
    37. Sapsford, D, 1985. "The Statistical Debate on the Net Barter Terms of Trade between Primary Commodities and Manufactures: A Comment and Some Additional Evidence," Economic Journal, Royal Economic Society, vol. 95(379), pages 781-788, September.
    38. Grilli, Enzo R & Yang, Maw Cheng, 1988. "Primary Commodity Prices, Manufactured Goods Prices, and the Terms of Trade of Developing Countries: What the Long Run Shows," The World Bank Economic Review, World Bank, vol. 2(1), pages 1-47, January.
    39. Spraos, John, 1980. "The Statistical Debate on the Net Barter Terms of Trade between Primary Commodities and Manufactures," Economic Journal, Royal Economic Society, vol. 90(357), pages 107-128, March.
    40. Anonymous, 1949. "Economic and Social Council," International Organization, Cambridge University Press, vol. 3(1), pages 114-129, February.
    41. Stephan Pfaffenzeller & Paul Newbold & Anthony Rayner, 2007. "A Short Note on Updating the Grilli and Yang Commodity Price Index," The World Bank Economic Review, World Bank, vol. 21(1), pages 151-163.
    42. Robin L. Lumsdaine & David H. Papell, 1997. "Multiple Trend Breaks And The Unit-Root Hypothesis," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 212-218, May.
    43. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    44. Cuddington, John T., 1992. "Long-run trends in 26 primary commodity prices : A disaggregated look at the Prebisch-Singer hypothesis," Journal of Development Economics, Elsevier, vol. 39(2), pages 207-227, October.
    45. Donggyu Sul & Peter C. B. Phillips & Chi‐Young Choi, 2005. "Prewhitening Bias in HAC Estimation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(4), pages 517-546, August.
    46. Leybourne, S. Y. & Lloyd, T. A. & Reed, G. V., 1994. "The excess comovement of commodity prices revisited," World Development, Elsevier, vol. 22(11), pages 1747-1758, November.
    47. László Mátyás & Patrick Sevestre (ed.), 2008. "The Econometrics of Panel Data," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75892-1, July-Dece.
    48. Prebisch, Raúl, 1950. "The economic development of Latin America and its principal problems," Sede de la CEPAL en Santiago (Estudios e Investigaciones) 29973, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    49. Helg, Rodolfo, 1991. "A note on the stationarity of the primary commodities relative price index," Economics Letters, Elsevier, vol. 36(1), pages 55-60, May.
    50. Hans Singer, 1999. "Beyond terms of trade-convergence and divergence," Journal of International Development, John Wiley & Sons, Ltd., vol. 11(6), pages 911-916.
    51. Ardeni, Pier Giorgio & Wright, Brian, 1992. "The Prebisch-Singer Hypothesis: A Reappraisal Independent of Stationarity Hypotheses," Economic Journal, Royal Economic Society, vol. 102(413), pages 803-812, July.
    52. Harvey, David I. & Leybourne, Stephen J. & Taylor, A.M. Robert, 2007. "A simple, robust and powerful test of the trend hypothesis," Journal of Econometrics, Elsevier, vol. 141(2), pages 1302-1330, December.
    53. Seong, Byeongchan & Mahbub Morshed, A.K.M. & Ahn, Sung K., 2006. "Additional sources of bias in half-life estimation," Computational Statistics & Data Analysis, Elsevier, vol. 51(3), pages 2056-2064, December.
    54. Hollis Chenery† & T.N. Srinivasan (ed.), 1989. "Handbook of Development Economics," Handbook of Development Economics, Elsevier, edition 1, volume 2, number 2.
    55. Collier, Paul & Gunning, Jan & Associates,, 1999. "Volume I: Africa," OUP Catalogue, Oxford University Press, number 9780198293385.
    56. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    57. Kaddour Hadri, 2010. "What Can We Learn From Primary Commodity Prices Series Which Is Useful To Policymakers In Resource-Rich Countries?," Economics Working Papers 10-07, Queen's Management School, Queen's University Belfast.
    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. Winkelried, Diego, 2021. "Unit roots in real primary commodity prices? A meta-analysis of the Grilli and Yang data set," Journal of Commodity Markets, Elsevier, vol. 23(C).
    2. Shahnazi, Rouhollah, 2021. "Do information and communications technology spillovers affect labor productivity?," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 342-359.
    3. Murat ASLAN & Saban NAZLIOGLU, 2018. "Do International Relative Commodity Prices Support the Prebisch-Singer Hypothesis? A Nonlinear Panel Unit Root Testing," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 76-92, December.
    4. Mahdi Ghodsi & Robert Stehrer, 2020. "Avoiding and escaping the 'commodity trap' in development," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 23(2), pages 187-211.
    5. Farrukh Bashir & Fareeha Andleeb & Rahat Fatima, 2016. "Intra Industry Trade, Fiscal Policy And Terms Of Trade Of Pakistan: A Long Run Analysis Using Ardl Technique," Pakistan Journal of Humanities and Social Sciences, International Research Alliance for Sustainable Development (iRASD), vol. 4(1), pages :1-16, December.
    6. Shahnazi, Rouhollah & Dehghan Shabani, Zahra, 2021. "The effects of renewable energy, spatial spillover of CO2 emissions and economic freedom on CO2 emissions in the EU," Renewable Energy, Elsevier, vol. 169(C), pages 293-307.
    7. Nazlioglu, Saban & Karul, Cagin, 2017. "A panel stationarity test with gradual structural shifts: Re-investigate the international commodity price shocks," Economic Modelling, Elsevier, vol. 61(C), pages 181-192.

    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. Otero, Jesús, 2011. "The Long-Run Behaviour of the Terms of Trade between Primary Commodities and Manufactures," WIDER Working Paper Series 071, World Institute for Development Economic Research (UNU-WIDER).
    2. Ghoshray, Atanu & Kejriwal, Mohitosh & Wohar, Mark E., 2011. "Breaking Trends and the Prebisch-Singer Hypothesis: A Further Investigation," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 120387, European Association of Agricultural Economists.
    3. Murat ASLAN & Saban NAZLIOGLU, 2018. "Do International Relative Commodity Prices Support the Prebisch-Singer Hypothesis? A Nonlinear Panel Unit Root Testing," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 76-92, December.
    4. Ghoshray, Atanu, 2011. "A reexamination of trends in primary commodity prices," Journal of Development Economics, Elsevier, vol. 95(2), pages 242-251, July.
    5. Nazlioglu, Saban, 2014. "Trends in international commodity prices: Panel unit root analysis," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 441-451.
    6. Shouvik Chakraborty & Prabirjit Sarkar, 2020. "From The Classical Economists To Empiricists: A Review Of The Terms Of Trade Controversy," Journal of Economic Surveys, Wiley Blackwell, vol. 34(5), pages 1111-1133, December.
    7. Winkelried, Diego, 2021. "Unit roots in real primary commodity prices? A meta-analysis of the Grilli and Yang data set," Journal of Commodity Markets, Elsevier, vol. 23(C).
    8. Hany Fahmy, 2021. "A Reappraisal of the Prebisch-Singer Hypothesis Using Wavelets Analysis," JRFM, MDPI, vol. 14(7), pages 1-17, July.
    9. Geronimi, Vincent & Taranco, Armand, 2018. "Revisiting the Prebisch-Singer hypothesis of a secular decline in the terms of trade of primary commodities (1900–2016). A dynamic regime approach," Resources Policy, Elsevier, vol. 59(C), pages 329-339.
    10. Chao-Hsiang Yang & Chi-Tai Lin & Yu-Sheng Kao, 2012. "Exploring stationarity and structural breaks in commodity prices by the panel data model," Applied Economics Letters, Taylor & Francis Journals, vol. 19(4), pages 353-361, March.
    11. Nazlioglu, Saban & Karul, Cagin, 2017. "A panel stationarity test with gradual structural shifts: Re-investigate the international commodity price shocks," Economic Modelling, Elsevier, vol. 61(C), pages 181-192.
    12. Joseph V. Balagtas & Matthew T. Holt, 2009. "The Commodity Terms of Trade, Unit Roots, and Nonlinear Alternatives: A Smooth Transition Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 87-105.
    13. Trofimov, Ivan D., 2018. "Income terms of trade and economic convergence: Evidence from Latin America," MPRA Paper 87598, University Library of Munich, Germany.
    14. Jean-François Carpantier, 2021. "Commodity Prices in Empirical Research," Dynamic Modeling and Econometrics in Economics and Finance, in: Gilles Dufrénot & Takashi Matsuki (ed.), Recent Econometric Techniques for Macroeconomic and Financial Data, pages 199-227, Springer.
    15. Arezki, Rabah & Hadri, Kaddour & Loungani, Prakash & Rao, Yao, 2014. "Testing the Prebisch–Singer hypothesis since 1650: Evidence from panel techniques that allow for multiple breaks," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 208-223.
    16. André Varella Mollick & João Ricardo Faria & Pedro H. Albuquerque & Miguel A. León-Ledesma, 2008. "Can globalisation stop the decline in commodities' terms of trade?," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 32(5), pages 683-701, September.
    17. Ghoshray Atanu & Kejriwal Mohitosh & Wohar Mark, 2014. "Breaks, trends and unit roots in commodity prices: a robust investigation," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(1), pages 23-40, February.
    18. David Harvey & Neil Kellard & Jakob Madsen & Mark Wohar, 2012. "Trends and Cycles in Real Commodity Prices: 1650-2010," CEH Discussion Papers 010, Centre for Economic History, Research School of Economics, Australian National University.
    19. Mark Holmes & Jesús Otero & Theodore Panagiotidis, 2012. "PPP in OECD Countries: An Analysis of Real Exchange Rate Stationarity, Cross-Sectional Dependency and Structural Breaks," Open Economies Review, Springer, vol. 23(5), pages 767-783, November.
    20. Kellard, Neil & Mark E Wohar, 2003. "Trends and Persistence in Primary Commodity Prices," Royal Economic Society Annual Conference 2003 118, Royal Economic Society.

    More about this item

    Keywords

    Prebisch and singer hypothesis; Panel stationarity; Structural change; Cross section dependence; O13; C33;
    All these keywords.

    JEL classification:

    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

    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:spr:portec:v:12:y:2013:i:1:p:35-56. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.