Shocks on commodity prices and inflation
Dynamic panel data estimations models
DOI:
https://doi.org/10.24215/18521649e034Keywords:
commodity inflation, passthrough to local inflation, panel data modelsAbstract
We examine the effect of shocks that affect the rate of change in commodity prices on the inflation rate in a panel of 53 countries with quarterly data for the period I.1996-IV.2020 by estimating different autoregressive vector panel models. We find that 10 percentage points (pp) in the rate of variation in the price of Crude Oil generates a 0.5 pp increase in the inflation rate in the first quarter, with a cumulative effect of 1.2 pp. A shock in the price dynamics of Natural Gas has a similar effect. A 10 pp Food inflationary shock is associated with a contemporaneous increase of 1.3 pp percent in the first quarter, with a cumulative effect of 3 pp. The cumulative effect on the inflation rate is observed mainly in net commodity importers. When considering the asymmetries associated with increases and decreases in the rates of change in commodity prices, the effects are of different signs but of a similar magnitude with respect to their inflationary impact. Finally, during the period of financialization of commodities (2005-2015), we observed lesser effects on price variations in the short and long term.
References
Abeles, M. y Panigo, D. (2015). Dealing with cost-push inflation in Latin America: Multi-causality in a context of increased openness and commodity price volatility. Review of Keynesian Economics, 3(4), 517-535. https://doi.org/10.4337/roke.2015.04.05
Adler, G., Casas, C., Cubeddu, L., Gopinath, G., Li, N., Meleshchuk, S., Osorio Buitron, C., Puy, D. y Timmer, Y. (2020). Dominant currencies and external adjustment. IMF Staff Discussion Note, 2000(05). https://doi.org/10.5089/9781513512150.006
Bank of International Settlements. (2022). BIS Annual Economic Report 2022. BIS
Basco, E., D’Amato, L. y Garegnani, L. (2009). Understanding the money-prices relationship under low and high inflation regimes: Argentina 1977-2006. Journal of International Money and Finance, 28(7), 1182-1203. https://doi.org/10.1016/j.jimonfin.2009.06.008
Bastian, E. y Setterfield, M. (2020). Nominal exchange rate shocks and inflation in an open economy: Towards a structuralist inflation targeting agenda. Cambridge Journal of Economics, 44(6), 1271-1299. https://doi.org/10.2139/ssrn.2982304
Bems, R., Caselli, F., Grigoli, F., Gruss, B. y Lian, W. (2018). Is inflation domestic or global? Evidence from emerging markets. International Monetary Found Working Paper, 18(241). http://doi.org/10.5089/9781484381595.001
Commodity Markets Outlook. (2022). The impact of the war in Ukraine on commodity markets. World Bank Group.
Conti, A., Neri, S. y Nobili, A. (2017). Low inflation and monetary policy in the Euro Area. European Central Bank Working Paper, 2005. https://doi.org/10.2139/ssrn.2910938
Filardo, A., Lombardi, M., Montoro, C. y Ferrari, M. (2020). Monetary policy, commodity prices, and misdiagnosis risk. International Journal of Central Banking, 16(2), 45-79. https://www.ijcb.org/journal/ijcb20q1a2.htm
Globan, T., Arcabic, V. y Soric, P. (2015). Inflation in new EU member states: A domestically or externally driven phenomenon? Emerging Markets Finance and Trade, 51(6), 154-168. https://doi.org/10.1080/1540496X.2014.998547
Gordon, R. (2013). The Phillips Curve is alive and well: Inflation and the NAIRU during the slow recovery National Bureau of Economic Research Working Paper, 19390. https://doi.org/10.3386/w19390
Gourinchas, P.-O. (27-28 de abril de 2022). Opening remarks. Spillover Conference 2022: New Global Challenges Amid Incomplete and Divergent Recoveries. Joint BIS, BoE, ECB, and IMF Conference. https://doi.org/10.2139/ssrn.4074459
Ha, J., Kose, M. y Ohnsorge, F. (2022). From low to high inflation: Implications for emerging market and developing economies. Centre for Economic Policy Research Policy Insight, 115. https://doi.org/10.2139/ssrn.4074459
Igan, D., Kohlscheen, E., Nodari, G. y Rees, D. (2022). Commodity market disruptions, growth and inflation Bank for International Settlements Bulletin, 54. https://www.bis.org/publ/bisbull54.htm
Im, K., Pesaran, M. y Shin, Y. (2003). Testing for unit roots in heterogenous panels. Journal of Econometrics, (115), 53-74. https://doi.org/10.1016/S0304-4076(03)00092-7
Jordà, Ò. (2005). Estimation and inference of impulse responses by local projections. American Economic Review, 95(1), 161-182. https://doi.org/10.1257/0002828053828518
Levin, A., Lin, C. y Chu, C. (2002). Unit root tests in panel data: Asymptotic and finite-sample properties. Journal of Econometrics, (108), 1-24. https://doi.org/10.1016/S0304-4076(01)00098-7
Medina, J. y Soto, C. (2014). Commodity price shocks and imperfectly credible macroeconomic policies in commodity-exporting small open economies. International Monetary Fund Working Paper, 14/33. https://doi.org/10.5089/9781484306390.001
Mihailov, A., Rumler, F. y Scharler, J. (2011). The small open-economy new keynesian phillips curve: Empirical evidence and implied inflation dynamics. Open Economic Review, (22), 317-337. https://doi.org/10.1007/s11079-009-9125-9
Montes-Rojas, G. (2019). Una estimación del pass-through en la Argentina usando funciones impulso respuesta de cuantiles multivariados. Estudios Económicos, 36(73), 145-189. https://doi.org/10.52292/j.estudecon.2019.1436
Montes-Rojas, G. y Toledo, F. (2022). External shocks and inflationary pressures in Argentina: A post-keynesian-structuralist empirical approach. Review of Political Economy, 34(4), 789-806. https://doi.org/10.1080/09538259.2021.1993001
Reis, R. (2021). Losing the inflation anchor. Brooking Papers of Economic Activity, (2), 307-361. https://doi.org/10.1353/eca.2022.0004
Scott Davis, J. (2012). The effect of commodity price shocks on underlying inflation: The role of central bank credibility. Federal Reserve Bank of Dallas Globalization and Monetary Policy Institute Working Paper, 134. https://doi.org/10.2139/ssrn.2181341
Taylor, L. y Barbosa-Filho, N. H. (2021). Inflation? It’s import prices and the labor share! Institute for New Economic Thinking Working Paper, 145. https://doi.org/10.36687/inetwp145
Werning, I. y Lorenzoni, G. (2023). Inflation if conflict. National Bureau of Economic Research Working Paper, 31099. https://doi.org/10.3386/w31099
World Economic Outlook. (2022). War Sets Back the Global Recovery. International Monetary Fund.
Zhang, B., Ai, X., Fang, X. y Chen, S. (2022). The transmission mechanisms and impacts of oil price fluctuations: Evidence from DSGE model. Energies, (15), 1-20. https://doi.org/10.3390/en15166038
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