OIL PRICES SHOCKS AND INFLATION RATE PERSISTENCE FOR ALGERIA: A FRACTIONAL COINTEGRATION RELATIONSHIP
DOI:
https://doi.org/10.15407/economyukr.2023.10.083Keywords:
inflation rate persistence; oil prices shocks; fractional cointegration; AlgeriaAbstract
This study aims to analyse the relationship between oil prices and inflation rates in Algeria to determine the extent of inflation persistence in face to oil price shocks from January1998 to March 2023 using the recently developed Fractional Cointegration Model, which allows residuals to be fractionally integrated rather than stationary, with the classical cointegration approach based on I(0) stationarity or I(1) cointegrating relationships. This topic was chosen due to its significance for monetary policymakers, investors, financial analysts and academics in understanding the dynamics of inflation persistence in Algeria and studying the impact of some price shocks on it, such as oil price shocks. Our results also showed that Algeria has a co-integration relationship between oil prices and the inflation rate, with an estimated persistence of 0.883, which is greater than 0.5 and less than 1. This indicates that the impact of oil price shocks is still present for a long time on the inflation rate persistence in Algeria, in other words the inflation rate in Algeria will persistence for a longer period due to the shock of oil prices before eventually fading away, and with the adoption of a monetary policy targeting inflation in Algeria, it will contribute to reducing the inflation rates persistence.
References
Tule M.K., Salisu A.A., Ebuh G.U. A test for inflation persistence in Nigeria using fractional integration & fractional cointegration techniques. Econ. Model, 2020, Vol. 87, pp. 225-237.
doi.org/10.1016/j.econmod.2019.07.024
Amano R. Inflation persistence and monetary policy: A simple result. Econ. Lett., 2007, Vol. 94, No. 1, pp. 26-31.
doi.org/10.1016/j.econlet.2006.06.022
Coenen G. Inflation persistence and robust monetary policy design. J. Econ. Dyn. Control, 2007, Vol. 31, No. 1, pp. 111-140.
doi.org/10.1016/j.jedc.2005.09.012
Tetlow R. The monetary policy response to uncertain inflation persistence. Econ.Lett., 2019, Vol. 175, pp. 5-8.
doi.org/10.1016/j.econlet.2018.10.034
Sbordone A.M. Inflation persistence: Alternative interpretations and policy implications. J. Monet. Econ., 2007, Vol. 54, No. 5, pp. 1311-1339.
doi.org/10.1016/j.jmoneco.2007.06.007
Bratsiotis G.J., Madsen J., Martin C. Inflation Targeting and Inflation Persistence. Econ. Polit. Stud., 2015, Vol. 3, No. 1, pp. 3-17.
doi.org/10.1080/20954816.2015.11673835
Gerlach S., Tillmann P. Inflation targeting and inflation persistence in Asia-Pacific'. J. Asian Econ., 2012, Vol. 23, No. 4, pp. 360-373.
doi.org/10.1016/j.asieco.2012.03.002
Meller B., Nautz D. Inflation persistence in the Euro area before and after the European Monetary Union. Econ. Model., 2012, Vol. 29, No. 4, pp. 1170-1176.
doi.org/10.1016/j.econmod.2012.03.016
Misati R., Nyamongo E., Mwangi I. Commodity price shocks and inflation in a net oil-importing economy. OPEC Energy Rev., 2013, Vol. 37. pp. 125-148.
doi.org/10.1111/opec.12010
Lacheheb M., Sirag A. Oil price and inflation in Algeria: A nonlinear ARDL approach. Q. Rev. Econ. Finance, 2019, Vol. 73, pp. 217-222.
doi.org/10.1016/j.qref.2018.12.003
Raheem I.D., Bello A.K., Agboola Y.H. A new insight into oil price-inflation nexus. Resour. Policy, 2020, Vol. 68, No. 101804.
doi.org/10.1016/j.resourpol.2020.101804
Salisu A.A., Isah K.O., Oyewole O.J., Akanni L.O. Modelling oil price-inflation nexus: The role of asymmetries. Energy, 2017, Vol. 125, pp. 97-106.
doi.org/10.1016/j.energy.2017.02.128
Valcarcel V.J., Wohar M.E. Changes in the oil price-inflation pass-through. J. Econ. Bus., 2013, Vol. 68, pp. 24-42.
doi.org/10.1016/j.jeconbus.2013.03.001
Antonakakis N., Cunado J., Gil-Alana L.A., Gupta R. Is inflation persistence different in reality? Econ. Lett., 2016, Vol. 148, pp. 55-58.
doi.org/10.1016/j.econlet.2016.09.003
Johansen Sø. A representation theory for a class of vector autoregressive models for fractional processes. Econom. Theory, 2008, Vol. 24, No. 3, pp. 651-676.
doi.org/10.1017/S0266466608080274
Johansen S., Nielsen M. Ø. Likelihood Inference for a Fractionally Cointegrated Vector Autoregressive Model. Econometrica, 2012, Vol. 80, No. 6, pp. 2667-2732.
doi.org/10.3982/ECTA9299
Johansen S. Likelihood-Based Inference in Cointegrated Vector Autoregressive Models. 1st ed. Oxford University Press. Oxford, 1995.
doi.org/10.1093/0198774508.001.0001
Gil-Alana L.A., Yaya O.S., Awe O.O. Time series analysis of co-movements in the prices of gold and oil: Fractional cointegration approach. Resour. Policy, 2017, Vol. 53, pp. 117-124.
doi.org/10.1016/j.resourpol.2017.06.006
L. A. Gil-Alana and H. Carcel, 'A fractional cointegration var analysis of exchange rate dynamics'. North Am. J. Econ. Finance, 2020, Vol. 51, P. 100848.
doi.org/10.1016/j.najef.2018.09.006
Granville B., Zeng N. Time variation in inflation persistence: New evidence from modelling US inflation. Econ. Model., 2019, Vol. 81, pp. 30-39.
doi.org/10.1016/j.econmod.2018.12.004
Bilici B., Çekin S. E. Inflation persistence in Turkey: A TVP-estimation approach. Q. Rev. Econ. Finance, 2020, Vol. 78, pp. 64-69.
doi.org/10.1016/j.qref.2020.04.002
Gil-Alana L.A., Gupta R. Persistence and cycles in historical oil price data. Energy Econ., 2014, Vol. 45, pp. 511-516.
doi.org/10.1016/j.eneco.2014.08.018
Chen J., Zhu X., Li H.The pass-through effects of oil price shocks on China's inflation: A time-varying analysis. Energy Econ., 2020, Vol. 86, No. 104695.
doi.org/10.1016/j.eneco.2020.104695
Choi S., Furceri D., Loungani P., Mishra S., Poplawski-Ribeiro M. Oil prices and inflation dynamics: Evidence from advanced and developing economies. J. Int. Money Finance, 2018, Vol. 82, pp. 71-96.
doi.org/10.1016/j.jimonfin.2017.12.004
Lahiani A. Exploring the inflationary effect of oil price in the US: A quantile regression approach over 1876-2014. Int. J. Energy Sect. Manag., 2019, 2019, Vol. 13, No. 1, pp. 60-76.
doi.org/10.1108/IJESM-05-2018-0002
Batini N., Nelson E. The Lag from Monetary Policy Actions to Inflation: Friedman Revisited. Int. Finance, 2001, Vol. 4, No. 3, pp. 381-400.
doi.org/10.1111/1468-2362.00079
Roache S.K., Inflation Persistence in Brazil: A Cross Country Comparison. IMF Working Paper, 2014, No. 14/55. URL: ssrn.com/abstract=2431229
doi.org/10.5089/9781475585230.001
Fuhrer J., Moore G. Inflation Persistence. Q. J. Econ., 1995, Vol. 110, No. 1, pp. 127-159.
doi.org/10.2307/2118513
Oil Prices and Inflation Dynamics: Evidence from Advanced and Developing Economies. IMF Working Papers, 2017, Iss. 196. URL: www.elibrary.imf.org/view/journals/001/2017/196/001.2017.issue-196-en.xml (accessed: Jun 06, 2023).
Ross M.L. The Political Economy of the Resource Curse. World Polit., 1999, Vol. 51, No. 2, pp. 297-322. URL: www.jstor.org/stable/25054077
doi.org/10.1017/S0043887100008200
Bernanke B.S., Gertler M., Watson M., Sims C.A., Friedman B.M. Systematic Monetary Policy and the Effects of Oil Price Shocks. Brook. Pap. Econ. Act., 1997, No. 1, p. 91.
doi.org/10.2307/2534702
Oloko T.F., Ogbonna A.E., Adedeji A.A., Lakhani N. Fractional cointegration between gold price and inflation rate: Implication for inflation rate persistence. Resour. Policy, 2021, Vol. 74, No. 102369.
doi.org/10.1016/j.resourpol.2021.102369
Oloko T.F., Ogbonna A.E., Adedeji A.A., Lakhani N. Oil price shocks and inflation rate persistence: A Fractional Cointegration VAR approach. Econ. Anal. Policy, 2021, Vol. 70, pp. 259-275.
doi.org/10.1016/j.eap.2021.02.014
Geronikolaou G., Spyromitros E., Tsintzos P. Progressive taxation and human capital as determinants of inflation persistence. Econ. Model., 2020, Vol. 88, pp. 82-97.
doi.org/10.1016/j.econmod.2019.09.011
Wu J.-W., Wu J.-L. Does a flexible exchange rate regime increase inflation persistence? J. Int. Money Finance, 2018, Vol. 86, pp. 244-263.
doi.org/10.1016/j.jimonfin.2018.05.002
Canarella G., Miller S.M. Inflation persistence and structural breaks. J. Econ. Stud., 2016, Vol. 43, No. 6, pp. 980-1005.
doi.org/10.1108/JES-10-2015-0190
Kilian L., Park C. The impact of oil price shocks on the US stock market. Int. Econ. Rev., 2009, Vol. 50, No. 4, pp. 1267-1287
doi.org/10.1111/j.1468-2354.2009.00568.x
Mishkin F.S., Schmidt-Hebbel K. Does Inflation Targeting Make a Difference? NBER Working Paper, 2007, No. w12876. URL: ssrn.com/abstract=961141
doi.org/10.3386/w12876
Charaia V., Papava V. On the Inflation and its Modifications in the Era of Global Pandemic: The Case of Some ADB Countries. J. Asian Finance Econ. Bus., 2022, Vol. 9, No. 8, pp. 0007-0017. URL: ssrn.com/abstract=4207659
Solarin Sakiru Adebola, Gil-Alana L.A., Madigu G. Gold prices and the cryptocurrencies: Evidence of convergence and cointegration. Phys. Stat. Mech. Its Appl., 2019, Vol. 523, pp. 1227-1236.
doi.org/10.1016/j.physa.2019.04.123
Aye G.C., Carcel H., Gil-Alana L.A., Gupta R. Does gold act as a hedge against inflation in the UK? Evidence from a fractional cointegration approach over 1257 to 2016. Resour. Policy, 2017, Vol. 54, pp. 53-57.
doi.org/10.1016/j.resourpol.2017.09.001
Nielsen M.Ø., Shibaev S.S. Forecasting daily political opinion polls using the fractionally cointegrated vector auto‐regressive model. J. R. Stat. Soc. Ser. A Stat. Soc., 2018, Vol. 181, No. 1, pp. 3-33.
doi.org/10.1111/rssa.12251
Yaya O.S., Ogbonna A., Atoi N.V. Are inflation rates in OECD countries actually stationary during 2011-2018? Evidence based on Fourier Nonlinear Unit root tests with Break. MPRA Paper, 2019, No. 93937. URL: econpapers.repec.org/paper/pramprapa/93937.htm
Granger C.W. Some properties of time series data and their use in econometric model specification. J. Econom., 1981, Vol. 16, No. 1, pp. 121-130.
doi.org/10.1016/0304-4076(81)90079-8
Granger C.W.J. Long memory relationships and the aggregation of dynamic models. J. Econom., 1980, Vol. 14, No. 2, pp. 227-238.
doi.org/10.1016/0304-4076(80)90092-5
Granger C.W., Joyeux R. An introduction to long‐memory time series models and fractional differencing. J. Time Ser. Anal., 1980, Vol. 1, No. 1, pp. 15-29.
doi.org/10.1111/j.1467-9892.1980.tb00297.x
Hosking J.R.M. Fractional Differencing. Biometrika, 1981, Vol. 68, No. 1, pp. 165-176.
doi.org/10.1093/biomet/68.1.165
Adenstedt R.K. On large-sample estimation for the mean of a stationary random sequence. Ann. Stat., 1974, Vol. 2, No. 6, pp. 1095-1107.
doi.org/10.1214/aos/1176342867
Gil-Alana L., Carcel-Villanova H. A fractional cointegration var analysis of exchange rate dynamics. North Am. J. Econ. Finance, 2018, Vol. 51.
doi.org/10.1016/j.najef.2018.09.006
Engle R.F., Granger C.W.J. Co-Integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 1987, Vol. 55, No. 2, pp. 251-276.
doi.org/10.2307/1913236
Robinson P.M. Multiple local whittle estimation in stationary systems. Ann. Stat., 2008, Vol. 36, No. 5, pp. 2508-2530.
doi.org/10.1214/07-AOS545
MacKinnon J.G., Nielsen M.Ø. Numerical distribution function of fractional unit root and cointegration tests: fractional cointegration tests. J. Appl. Econom., 2014, Vol. 29, No. 1, pp. 161-171.
doi.org/10.1002/jae.2295
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