Exploring the Relationship between Consumer Price Index (CPI) and Producer Price Index (PPI) in Nigeria
DOI:
https://doi.org/10.14738/assrj.511.5450Abstract
The study investigated the relationship between consumer price index (CPI) and producer price index (PPI) in Nigerian economy, using monthly data from 2013: 01 to 2018: 05. The study employed DF-GLS unit root test to verify the stationarity of the series. Cointegration tests involving Johansen and Engle-Granger approaches could not detect long run relationship between CPI and PPI, implying that the variables could not be substituted for each other in measuring inflation rate in Nigeria. Vector Autoregressive (VAR) technique was used to analyse the variables and the results revealed that there was no causality between CPI and PPI in Nigeria. However, the OLS result in Engle-Granger 2-step approach to cointegration provided a useful insight into the relationship between the variables. An increase in either CPI or PPI exerted a statistically significant reduction effect on the rate of other in the long run.
References
Adedokun, A. (2018). The effects of oil shocks on government expenditures and government revenues nexus in Nigeria (with exogeneity restrictions). Future Business Journal, 4, 219-232. https://doi.org/10.1016/j.fbj.2018.06.003
Akdi, Y., Berument, H., & Cilasun, S.Y. (2006). The relationship between different price indices: Evidence from Turkey, Physica A, 360, 483-492, htt://dx.doi.org/10.1016/j.physa
Akeay, S. (2011). The causal relationship between producer price index and consumer price index: Empirical evidence from selected European countries, International Journal of Economics and Finance, 3(6), 227-232.
Caporale, G. M., Katsimi, M., & Pittis, N. (2002). Causality links between consumer and producer prices: some empirical evidence, Southern Economic Journal, 68, 703-711, http://dx.doi.org/10.2307/1061728
Colclough, W. G., & Lange, M. G. (1982). Empirical evidence of causality from consumer to wholesale prices, Journal of Econometrics,19, 379-384, htt://dx.doi.org/10.1016/0304-4076(82)90012-4.
Elliott, G., Stock, J. H. & Rothenberg, T. J. (1996). Efficient tests for an autoregressive unit root. Econometrica, 64(4):813-36. DOI: 10.2307/2171846
Engle, R. F., & Granger, C. W. J. (1988). Cointegration and error correction: representation, estimation and testing, Econometrica, 55,251-276. htt://dx.doi.org/10.2307/1913236
Ghazali, M. F., Yee, O.A., & Muhammad, M. Z. (2008). Do producer prices cause consumer prices? Some empirical evidence, International Journal of Business and Management, 3(11), 78-82. htt://dx.dodoi.org/10.5539/ijbm.
Jones, J. D. (1986). Consumer prices, wholesale prices and causality. Empirical Economics, 11, 41-55. htt://dx.doi.org/10.1007/BF01978144.
Liping, H., Gang, F., & Jiani, H. (2008). CPI vs PPI: Which drives which? Economic Research Journal, 43(11), 16-27.
Pinn, K. S. C., Kogid, M., Mulok, D., Mansur K., & Loganathan, N. (2011). Empirical analysis of employment and foreign direct investment in Malaysia: An ARDL Bounds testing approach to cointegration. Advances in Management and Applied Economics.1 (3):77-91.
Tiwari, A. K. (2012). An Empirical investigation of causality between producer’s price and consumers price indices in Australia in frequency. Economic Modelling, 29, 1571-1578
Tiwari, A. K. et al. (2014). Causality between Consumer and Producer Price: Evidence from Mexico. Economic Modelling. 36, 432-440
Toda, H.Y., & Yamamoto, T. (1995). Statistical influence in vector autoregression with possibility integrated processes, Journal of Econometrics, 66, 225-250.
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