Journal of Finance and Economics
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Journal of Finance and Economics. 2025, 13(4), 147-155
DOI: 10.12691/jfe-13-4-1
Open AccessArticle

Transmission of Periodic Shocks from Exchange Rate to Inflation in Nigeria: Local Projection Impulse Response Function (LPIRF) Approach

Foluso O. Chinyere Osunkwo1, Uche Emmanuel1, Ndubueze Justice Onyenze1, Joseph Chukwudi Odionye1, and Veronica Adaku Ihezukwu1

1Department of Economics, Abia State University, Uturu, Nigeria

Pub. Date: September 24, 2025

Cite this paper:
Foluso O. Chinyere Osunkwo, Uche Emmanuel, Ndubueze Justice Onyenze, Joseph Chukwudi Odionye and Veronica Adaku Ihezukwu. Transmission of Periodic Shocks from Exchange Rate to Inflation in Nigeria: Local Projection Impulse Response Function (LPIRF) Approach. Journal of Finance and Economics. 2025; 13(4):147-155. doi: 10.12691/jfe-13-4-1

Abstract

The periodic shocks from exchange rate to inflation over the years have been a matter of great concern to policy makers in many import-dependent economies such as Nigeria. Hence, this study investigated the transmission of periodic shocks in exchange rate to inflation in Nigeria over the period 1981-2023. The study employed the innovative local projection impulse response function (LPIRF) to examine the response of inflation to shocks in exchange rate. Given several economic crises, policy and institutional changes in Nigeria, the model variables were subjected to multiple structural breaks. The LPIRF analysis reveals that the exchange rate pass-through (ERPT) to inflation in Nigeria is relatively low at 5.5% after two years, suggesting limited direct transmission of currency depreciation to consumer prices. This modest ERPT, although surprising, supports the hypothesis that foreign exporters to Nigeria engage in pricing-to-market strategies, absorbing exchange rate changes rather than fully adjusting export prices. It further indicates that while inflationary shocks from its own past values are short-lived, shocks from exchange rate variations have persistent effects, lasting up to a decade. Lastly, the counterfactual analysis confirms that exchange rate shocks, when conditioned on variations in the exchange rate, maintain a substantial pass-through to inflation. The study recommends that government authorities should consider improving foreign reserves management, implementing transparent foreign exchange allocation, and reducing parallel market pressures, as well as put in place structural reforms to promote local manufacturing and agricultural value chains that can mitigate the vulnerability of domestic prices to exchange rate fluctuations.

Keywords:
inflation exchange rate shocks local projection impulse response Nigeria

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References:

[1]  National Bureau of Statistics (NBS) (2023). Foreign Trade in Goods Statistics, NBS, Q3 2023.
 
[2]  Savoie-Chabot, L. and Khan, M. (2015). Exchange rate pass-through to consumer prices: Theory and recent evidence. Bank of Canada Discussion Paper, 2015-9.
 
[3]  Bruno, M. (1979). Stabilizatio and stagflation in a semi-industrialized economy. In international Economic policy, eds. By R. Dornbusch and J. Frankel, John Hopkins University Press, Baltimore, MD.
 
[4]  Kandil, M., Berument, H. & Dincer, N.N. (2007). The effect of exchange rate fluctuations on economic activity in Turkey. Journal of Asian Economics, 18, 466-489.
 
[5]  Jorda, O. (2005). Estimation and inference of impulse responses by local projections. American Economic Review, 161-182.
 
[6]  Jorda, O. (2007). Joint Inference and counterfactual experimentation for impulse response function by local projection.” University of California (Davis) Working Paper series, 06-24.
 
[7]  Caselli, F.G & Roitman, A. (2016). Non-linear exchange rate pass-through in Emerging markets. International Monetary Fund (IMF)Working Paper No. 16/1 pp 1-36.
 
[8]  World Economic Outlook, IMF (2016). International Monetary Fund, Washington. October, 2016.
 
[9]  Morao, H. (2025). The macroeconomic effects of climate policy uncertainty: Evidence from Portugal. The Journal of Economic Asymmetries, 32(2025), 1-13.
 
[10]  Ditzen, J., Karavias, Y. & Westerlund, J. (2021). Testing and estimating structural breaks in time series and panel data in Stata. ArXiv Working Paper No. arXiv:2110.14550, https:// arxiv.org/ abs/2110.14550.
 
[11]  Musti, B. A. (2016). The effect of exchange rate changes on consumer prices in Nigeria: Evidence from VECM model. The Economics and Finance Letters, 3 (3), 30-38.
 
[12]  Adeyemi, O. & Samuel, E. (2013). Exchange rate pass-through to consumer prices in Nigeria. European Scientific Journal, 9 (25), 110-123.
 
[13]  Zubair, A., Okorie, G. and Sanusi, A.R. (2013). Exchange rate pass-through to domestic prices in Nigeria: An empirical investigation. Economic and Financial Review, 5 (1), 1-27.
 
[14]  John, O. J., Ezaal, O., & Alwell, N. (2024). Exchange rate pass-through and interaction dynamics in Nigeria: An analysis of macroeconomic impacts and policy implication. International Journal of Economics and Financial Management, 10(3), 93-113.
 
[15]  Oyadeyi, O. O., Oyadeyi, O. A., & Iyola, F. A. (2024). Exchange rate pass-through on prices in Nigeria – A threshold analysis. International Journal of Financial Studies, 12(4), 101.
 
[16]  Jakpa, T., Ezi, C. T., & Egbon, P. C. (2024). The effect of exchange rate pass-through to inflation in Nigeria. World Journal of Advanced Research and Reviews, 22(2), 1526-1534.
 
[17]  Odionye, J.C., Okanta, .U. & Odo, A.C. (2019). Oil price shocks and inflation dynamics; Sensiticity of unit root to structural breaks. International Journal of Business and Economics Research, 8 (2), 58-64.
 
[18]  Krugman, P. (1986). Pricing to market when the exchange rate changes. NBER Working Paper No. 1926.
 
[19]  Bada, A.S., Olufemi, A.I., Tata, I.A., Peters, I., Bawa, S., Onwubiko, A.J., Onyowo, U.C. (2016), Exchange Rate Pass-Through to Inflation in Nigeria, CBN Journal of Applied Statistics, Vol. 7 No. 1(a).
 
[20]  Goldberg, P. K., & Knetter, M. M. (1997). Goods prices and exchange rates: What have we learned? Journal of Economic Literature, 35(3), 1243–1272.
 
[21]  Burstein, A., & Gopinath, G. (2014). International prices and exchange rates. In G. Gopinath, E. Helpman, & K. Rogoff (Eds.), Handbook of International Economics, 4, pp. 391–451). Elsevier.
 
[22]  Campa, J. M., & Goldberg, L. S. (2005). Exchange rate pass-through into import prices. The Review of Economics and Statistics, 87(4), 679–690.
 
[23]  Baqaee, D. (2010). Using wavelets to measure core inflation: The case of New Zealand. Reserve Bank of New Zealand Discussion Paper Series, 2010/04.
 
[24]  Öztürk, İ., Akbaş, Y. E., & Şentürk, M. (2024). Exchange rate pass-through at high and low frequencies in Turkey: A continuous wavelet transform approach. Journal of Economic Structures, 13(1), 1–20.
 
[25]  Forbes, K., Hjortsoe, I., & Nenova, T. (2018). The shocks matter: Improving our estimates of exchange rate pass-through. Journal of International Economics, 114, 255–275.
 
[26]  Mudiangombe, B. M., & Mwamba, J. W. M. (2023). Dependence structure and time–frequency impact of exchange rates on stock markets: Markov-switching based wavelet analysis. Journal of Risk and Financial Management, 16(6).
 
[27]  Shintani, M., Terada-Hagiwara, A., & Yabu, T. (2013). Exchange rate pass-through and inflation: A nonlinear approach. Journal of International Money and Finance, 32, 512–527.
 
[28]  Baharumshah, A. Z., Sirag, A., & Soon, S. V. (2017). Asymmetric exchange rate pass-through in an emerging market economy: The case of Malaysia. Economic Modelling, 63, 154–165.
 
[29]  Balcilar, M., Gupta, R., Jooste, C., & Wohar, M. E. (2021). Frequency domain causality and the pass-through of exchange rate and oil price shocks to inflation. Energy Economics, 94, 105066.
 
[30]  Adedokun, A. S., Charles O. O., & Kehinde. A. T., (2022). Exchange Rate Pass-Through to Inflation: Symmetric and Asymmetric Effects of Monetary Environment in Nigeria. Acta Universitatis Danubius 18: 24–41.
 
[31]  Adekunle, Wasiu, K. A. Tiamiyu, & Taiwo H. O. (2019). Exchange Rate Pass- through to Consumer Prices in Nigeria: An Asymmetric Approach. Bingham Journal of Economics and Allied Studies 2: 1–11.
 
[32]  Jorda, O. (2009). Simultaneous confidence regions for impulse response function. Review of Economics and Statistics, 91 (3), 629-647.
 
[33]  Ditzen, J., Karavias, Y. & Westerlund, J. (2022). Testing and estimating structural breaks in time series and panel data in Stata., arXiv:2110.14550, [econ.EM].
 
[34]  CBN (2023). Central Bank of Nigeria statistical bulletin. CBN, Abuja.
 
[35]  Teulings, C.N. & Zubanov, N. (2014). Is economic recovery a myth? Robust estimation of impulse response. Journal of Applied Econometrics, 29 (3), 497-514.
 
[36]  Zivot, E. and Andrews, K. (1992). Further evidence on the great crash, the oil price shock, and the unit root hypothesis. Journal of Business and Economic Statistics, 10 (10), 251-270.
 
[37]  Odionye, J.C., Ojiaku, E.U. & Uba, C.N. (2023a). Impact of interest rate differential, exchange rate changes and political stability on foreign capital inflow in Nigeria: Discrete threshold regression model. Cogent Economics and Finance, 11(1), 2203590.
 
[38]  Odionye, J.C., Odo, A.C., Ikpe, M., & Ojike, R.O. (2023b). Threshold-based asymmetric reactions of trade balances to currency devaluation: Fresh insights from smooth transiton regression (STR) model. International Review of Applied Economics.
 
[39]  Odionye, J.C., Nwosu, E.O, Odo, A.C., Ugwuegbe, U.S. & Uba, C.N. (2023c). Asymmeric impact of multifarious exchange rate shocs on stoc prices: Fresh insights from multiple thresholds nonlinear autoregressive distributes-lag approach. The Journal of International Trade and Ecoomic Development.
 
[40]  Odo, A. C., Iduma, M. C., Odionye, J. C., Urama, N. E., Emengini, E. S., & Abdelkhair, F. Y. F. (2025). Quantifying the heterogeneous effects of oil price shocks on domestic inflation of oil-rich countries in sub-Saharan Africa. The Journal of International Trade & Economic Development.
 
[41]  Odionye, J.C. & Chukwu, J.O. (2021). The asymmetric effects of currency devaluation in selected sub-Saharan Africa. Economic Annals. LXVI (230), 135-155.
 
[42]  Odionye, J.C. & Chukwu, J.O. (2023). Asymmetric reactions of stock prices and industrial output to exchange rate shocks: Multiple threshold nonlinear autoregressive distributed lag framework. Economic Annals. LXVIII (237), 165-191.
 
[43]  Odionye, J. C., Ojiaku, E. U., Okpara, G. C., Agoh, N., & Okpara, R. M. (2024b). Economic policy uncertainty and stock market index: Fresh insights from augmented-autoregressive distributed lag and multiple structural breaks: Journal of International Commerce, Economic and Policy, 1–24.
 
[44]  Odionye, J.C., Odo, A.C., Orji, A., Ndubuisi, A., Ihezukwu, V.A., Ojike, R.O & Okparra, R.M. (2024c). Threshold-based influence of currency devaluation on external deb sustainability: Insights form smooth transition regression and multiple thresholds nonlinear ARDL approaches. The Journal of International Trade and Ecoomic Development.
 
[45]  Odionye, J. C., Duru, I. U., Nzeh, I. C., Uguru, N. E., & Uzoma, K. E. (2024a). Heterogeneous influence of capital flight and economic policy uncertainty on domestic investment in Nigeria: New wvidence from quantike nonlinear ARDL. Journal of International Commerce, Economic and Policy, 15 (3), 1–33.
 
[46]  IMF (2020). The Great Lockdown. World Economic Outlook Report, April 2020.
 
[47]  Sohag, K., Gainetdinova, A. & Mariev, O. (2022). The response of exchange rates to economic policy uncertainty: Evidence from Russia. Borsa Istanbul Review, 22(3), 534-545
 
[48]  Odionye, J. C., Ojiaku, E. U., Agoh, N., Okorontah, C.F., Okpara, R. M. & Ogu, C. (2024d). Economic policy uncertainty and Equity index in Sub-Saharan African coountries: Accounting for multiple structural breaks in a panel framwork: SN Business and Economics, 6(45).
 
[49]  Odionye, J. C., Dibia, N. O., Uguru, N. E., Agoh, N., Ihezukwu, V. A., Atuma, E., & Ifeanyi, C. K., (2025a). Evaluating the heterogeneous role of institutional quality in mitigating the adverse effects of capital flight on Nigeria’s economic growth: Fresh insights from quantile nonlinear ARDL froamwork. Economic Annals, LXX(244), 143-171.
 
[50]  Odionye, J. C., Chukwu, J. O., & Uguru, N. E. (2025b). Asymmetric cointegration between capital flight and domestic investment: Threshold autoregressive-quantile regression perspectives. International Journal of Economic Policy Perspectives.
 
[51]  Dickey, D. A., & Fuller, W.A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49 (4), 1057-1072.
 
[52]  Granger C., & Newbold (1974), Spurious Regression in Econometrics, Journal of Econometrics 2 (2), 111-120.
 
[53]  Cheikh, N.B. (2012). Asymmetric exchange rate pass –through in the Euro Area: New evidence from smooth transition models. Economics-Open-Assess, Open-Assessment E-journal; Discussion Paper no. 36, pp 1-26.