(This abstract was borrowed from another version of this item.)"> (This abstract was borrowed from another version of this item.)">
[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
IDEAS home Printed from https://ideas.repec.org/a/bla/afrdev/v29y2017i2p319-336.html
   My bibliography  Save this article

The Impact of Oil Price on South African GDP Growth: A Bayesian Markov Switching-VAR Analysis

Author

Listed:
  • Mehmet Balcilar
  • Reneé van Eyden
  • Josine Uwilingiye
  • Rangan Gupta
Abstract
One characteristic of many macroeconomic and financial time series is their asymmetric behaviour during different phases of a business cycle. Oil price shocks have been amongst those economic variables that have been identified in theoretical and empirical literature to predict the phases of business cycles. However, the role of oil price shocks to determine business cycle fluctuations has received less attention in emerging and developing economies. The aim of this study is to investigate the role of oil price shocks in predicting the phases of the South African business cycle associated with higher and lower growth regimes. By adopting a regime dependent analysis, we investigate the impact of oil price shocks under two phases of the business cycle, namely high and low growth regimes. As a net importer of oil, South Africa is expected to be vulnerable to oil price shocks irrespective of the phase of the business cycle. Using a Bayesian Markov switching vector autoregressive (MS-VAR) model and data for the period 1960Q2 to 2013Q3, we found the oil price to have predictive content for real output growth under the low growth regime. The results also show the low growth state to be shorter-lived compared to the higher growth state. against standard forecasting models. U.S. inflation forecasts improve when controlling for persistence and economic policy uncertainty (EPU). Importantly, the VARFIMA model, comprising of inflation and EPU, outperforms commonly used inflation forecast models.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Mehmet Balcilar & Reneé van Eyden & Josine Uwilingiye & Rangan Gupta, 2017. "The Impact of Oil Price on South African GDP Growth: A Bayesian Markov Switching-VAR Analysis," African Development Review, African Development Bank, vol. 29(2), pages 319-336, June.
    • Handle: RePEc:bla:afrdev:v:29:y:2017:i:2:p:319-336
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/1467-8268.12259
    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. Hamilton, James D., 1996. "This is what happened to the oil price-macroeconomy relationship," Journal of Monetary Economics, Elsevier, vol. 38(2), pages 215-220, October.
    2. Andrew Ang & Geert Bekaert, 2002. "International Asset Allocation With Regime Shifts," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1137-1187.
    3. Ghysels, Eric, 1994. "On the Periodic Structure of the Business Cycle," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 289-298, July.
    4. 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.
    5. du Plessis, S.A., 2006. "Reconsidering the business cycle and stabilisation policies in South Africa," Economic Modelling, Elsevier, vol. 23(5), pages 761-774, September.
    6. Aye, Goodness C. & Dadam, Vincent & Gupta, Rangan & Mamba, Bonginkosi, 2014. "Oil price uncertainty and manufacturing production," Energy Economics, Elsevier, vol. 43(C), pages 41-47.
    7. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    8. Engemann, Kristie M. & Kliesen, Kevin L. & Owyang, Michael T., 2011. "Do Oil Shocks Drive Business Cycles? Some U.S. And International Evidence," Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 498-517, November.
    9. Hans-Martin Krolzig, 2001. "Markov-Switching Procedures for Dating the Euro-Zone Business Cycle," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 70(3), pages 339-351.
    10. Rangan Gupta & Patrick T. Kanda, 2014. "Does the Price of Oil Help Predict Inflation in South Africa? Historical Evidence Using a Frequency Domain Approach," Working Papers 201401, University of Pretoria, Department of Economics.
    11. Olivier J. Blanchard & Jordi Galí, 2007. "The Macroeconomic Effects of Oil Price Shocks: Why Are the 2000s so Different from the 1970s?," NBER Chapters, in: International Dimensions of Monetary Policy, pages 373-421, National Bureau of Economic Research, Inc.
    12. John C. Anyanwu, 2014. "Oil Wealth, Ethno-Religious-Linguistic Fractionalization and Civil Wars in Africa: Cross-Country Evidence," African Development Review, African Development Bank, vol. 26(2), pages 209-236, June.
    13. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    14. Ni, Shawn & Sun, Dongchu & Sun, Xiaoqian, 2007. "Intrinsic Bayesian Estimation of Vector Autoregression Impulse Responses," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 163-176, April.
    15. Filardo, Andrew J, 1994. "Business-Cycle Phases and Their Transitional Dynamics," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 299-308, July.
    16. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    17. Granger, Clive W J, 1996. "Can We Improve the Perceived Quality of Economic Forecasts?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(5), pages 455-473, Sept.-Oct.
    18. Pierre Perron & Serena Ng, 1996. "Useful Modifications to some Unit Root Tests with Dependent Errors and their Local Asymptotic Properties," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 63(3), pages 435-463.
    19. Bruce E. Hansen, 2001. "The New Econometrics of Structural Change: Dating Breaks in U.S. Labour Productivity," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 117-128, Fall.
    20. Kim, In-Moo & Loungani, Prakash, 1992. "The role of energy in real business cycle models," Journal of Monetary Economics, Elsevier, vol. 29(2), pages 173-189, April.
    21. Mork, Knut Anton, 1989. "Oil and Macroeconomy When Prices Go Up and Down: An Extension of Hamilton's Results," Journal of Political Economy, University of Chicago Press, vol. 97(3), pages 740-744, June.
    22. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    23. Zacharias Psaradakis & Nicola Spagnolo, 2003. "On The Determination Of The Number Of Regimes In Markov‐Switching Autoregressive Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 24(2), pages 237-252, March.
    24. Filardo, Andrew J. & Gordon, Stephen F., 1998. "Business cycle durations," Journal of Econometrics, Elsevier, vol. 85(1), pages 99-123, July.
    25. Hamilton, James D, 1983. "Oil and the Macroeconomy since World War II," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 228-248, April.
    26. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    27. Chib, Siddhartha, 1996. "Calculating posterior distributions and modal estimates in Markov mixture models," Journal of Econometrics, Elsevier, vol. 75(1), pages 79-97, November.
    28. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    29. Durland, J Michael & McCurdy, Thomas H, 1994. "Duration-Dependent Transitions in a Markov Model of U.S. GNP Growth," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 279-288, July.
    30. Carlos de Miguel & Baltasar Manzano & Jose M. Martin-Moreno, 2003. "Oil Price Shocks and Aggregate Fluctuations," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 47-61.
    31. Tang, Weiqi & Wu, Libo & Zhang, ZhongXiang, 2010. "Oil price shocks and their short- and long-term effects on the Chinese economy," Energy Economics, Elsevier, vol. 32(Supplemen), pages 3-14, September.
    32. M. B. Dagut, 1978. "The Economic Effect of the Oil Crisis on South Africa1," South African Journal of Economics, Economic Society of South Africa, vol. 46(1), pages 15-21, March.
    33. Ehrmann, Michael & Ellison, Martin & Valla, Natacha, 2003. "Regime-dependent impulse response functions in a Markov-switching vector autoregression model," Economics Letters, Elsevier, vol. 78(3), pages 295-299, March.
    34. Herrera, Ana María & Lagalo, Latika Gupta & Wada, Tatsuma, 2011. "Oil Price Shocks And Industrial Production: Is The Relationship Linear?," Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 472-497, November.
    35. Hans-Martin Krolzig & Michael P. Clements, 2002. "Can oil shocks explain asymmetries in the US Business Cycle?," Empirical Economics, Springer, vol. 27(2), pages 185-204.
    36. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    37. Hamilton, James D, 1988. "A Neoclassical Model of Unemployment and the Business Cycle," Journal of Political Economy, University of Chicago Press, vol. 96(3), pages 593-617, June.
    38. Ahdi N. Ajmi & Vassilios Babalos & Rangan Gupta & Roulof Hefer, 2014. "A Reinvestigation of the Oil Price and Consumer Price Nexus in South Africa: An Asymmetric Causality Approach," Working Papers 201423, University of Pretoria, Department of Economics.
    39. John C. Anyanwu & Andrew E. O. Erhijakpor, 2014. "Does Oil Wealth Affect Democracy in Africa?," African Development Review, African Development Bank, vol. 26(1), pages 15-37, March.
    40. Carolyn Chisadza & Janneke Dlamini & Rangan Gupta & Mampho P. Modise, 2013. "The Impact of Oil Shocks on the South African Economy," Working Papers 201311, University of Pretoria, Department of Economics.
    41. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    42. John C. Anyanwu & Nadège D. Yaméogo, 2015. "Regional Comparison of Foreign Direct Investment to Africa: Empirical Analysis," African Development Review, African Development Bank, vol. 27(4), pages 345-363, December.
    43. Raymond, Jennie E & Rich, Robert W, 1997. "Oil and the Macroeconomy: A Markov State-Switching Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(2), pages 193-213, May.
    44. Abeysinghe, Tilak, 2001. "Estimation of direct and indirect impact of oil price on growth," Economics Letters, Elsevier, vol. 73(2), pages 147-153, November.
    45. Raymond, Jennie E & Rich, Robert W, 1997. "Erratum [Oil and the Macroeconomy: A Markov State-Switching Approach]," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(4), pages 555-555, November.
    46. Fidelis Ogwumike & Eric Ogunleye, 2008. "Resource‐led Development: An Illustrative Example from Nigeria," African Development Review, African Development Bank, vol. 20(2), pages 200-220.
    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. Balcilar, Mehmet & Gupta, Rangan & Miller, Stephen M., 2015. "Regime switching model of US crude oil and stock market prices: 1859 to 2013," Energy Economics, Elsevier, vol. 49(C), pages 317-327.
    2. Balcilar, Mehmet & Hammoudeh, Shawkat & Asaba, Nwin-Anefo Fru, 2015. "A regime-dependent assessment of the information transmission dynamics between oil prices, precious metal prices and exchange rates," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 72-89.
    3. Troster, Victor & Shahbaz, Muhammad & Uddin, Gazi Salah, 2018. "Renewable energy, oil prices, and economic activity: A Granger-causality in quantiles analysis," Energy Economics, Elsevier, vol. 70(C), pages 440-452.
    4. Engemann, Kristie M. & Kliesen, Kevin L. & Owyang, Michael T., 2011. "Do Oil Shocks Drive Business Cycles? Some U.S. And International Evidence," Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 498-517, November.
    5. Zulquar Nain & Bandi Kamaiah, 2020. "Uncertainty and Effectiveness of Monetary Policy: A Bayesian Markov Switching-VAR Analysis," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 9(special i), pages 237-265.
    6. Matteo Manera & Alessandro Cologni, 2006. "The Asymmetric Effects of Oil Shocks on Output Growth: A Markov-Switching Analysis for the G-7 Countries," Working Papers 2006.29, Fondazione Eni Enrico Mattei.
    7. Kırca, Mustafa & Canbay, Şerif & Pirali, Kerem, 2020. "Is the relationship between oil-gas prices index and economic growth in Turkey permanent?," Resources Policy, Elsevier, vol. 69(C).
    8. James D. Hamilton, 2013. "Oil prices, exhaustible resources and economic growth," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 1, pages 29-63, Edward Elgar Publishing.
    9. Lang, Korbinian & Auer, Benjamin R., 2020. "The economic and financial properties of crude oil: A review," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    10. Chevallier, Julien, 2011. "Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models," Economic Modelling, Elsevier, vol. 28(6), pages 2634-2656.
    11. Claudio Morana, 2013. "The Oil Price-Macroeconomy Relationship Since the Mid-1980s: A Global Perspective," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    12. Managi, Shunsuke & Okimoto, Tatsuyoshi, 2013. "Does the price of oil interact with clean energy prices in the stock market?," Japan and the World Economy, Elsevier, vol. 27(C), pages 1-9.
    13. Imran Shah, 2012. "Revisiting the Dynamic Effects of Oil Price Shock on Small Developing Economies," Bristol Economics Discussion Papers 12/626, School of Economics, University of Bristol, UK.
    14. Manera, Matteo & Cologni, Alessandro, 2006. "The Asymmetric Effects of Oil Shocks on Output Growth: A Markov-Switching Analysis," International Energy Markets Working Papers 12121, Fondazione Eni Enrico Mattei (FEEM).
    15. Juan Carlos Cuestas & Paulo Jose Regis, 2008. "Nonlinearities and the order of integration of oil prices," NBS Discussion Papers in Economics 2008/15, Economics, Nottingham Business School, Nottingham Trent University.
    16. repec:oxf:wpaper:2000-w36.2 is not listed on IDEAS
    17. Andreopoulos Spyros, 2009. "Oil Matters: Real Input Prices and U.S. Unemployment Revisited," The B.E. Journal of Macroeconomics, De Gruyter, vol. 9(1), pages 1-31, March.
    18. Yuan, Chunming, 2011. "The exchange rate and macroeconomic determinants: Time-varying transitional dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 22(2), pages 197-220, August.
    19. Aloui, Chaker & Jammazi, Rania, 2009. "The effects of crude oil shocks on stock market shifts behaviour: A regime switching approach," Energy Economics, Elsevier, vol. 31(5), pages 789-799, September.
    20. Ana Gómez-Loscos & Mar𨀠 Dolores Gadea & Antonio Montañ鳠, 2012. "Economic growth, inflation and oil shocks: are the 1970s coming back?," Applied Economics, Taylor & Francis Journals, vol. 44(35), pages 4575-4589, December.
    21. Julien Chevallier, 2013. "Price relationships in crude oil futures: new evidence from CFTC disaggregated data," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 15(2), pages 133-170, April.

    More about this item

    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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

    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:bla:afrdev:v:29:y:2017:i:2:p:319-336. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/afdbgci.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.