Inflation Persistence and Climate-Related Supply Shocks in Pakistan: Evidence from High-Frequency Food and Energy Prices
Abstract
Inflation persistence is central to monetary policy design because it governs
the output costs of disinflation and the speed at which shocks fade. In climatevulnerable economies, supply disruptions increasingly arise from floods, droughts,
and heat stress—often transmitting quickly into food and energy prices. This study
develops an empirically replicable framework to quantify how climate-related
supply shocks affect the persistence and pass-through of inflation in Pakistan
using high-frequency price information for food and energy items combined
with disaster intensity and weather anomaly indicators. Methods integrate (i) (i)
inflation decomposition into food, energy, and core components; (ii) persistence
estimation via autoregressive and fractional-integration specifications; and (iii)
local projections to trace dynamic responses to climate shocks and energy-price
disturbances. Evidence synthesised from the peer-reviewed climate–inflation
literature and Pakistan’s recent inflation dynamics indicates that climate shocks
primarily increase short-horizon persistence through food inflation, while energy
shocks propagate more strongly into non-food components when exchange-rate
and administered-price regimes amplify second-round effects. Comparative
analyses across event windows (flood vs. drought episodes) and price groups
(perishables vs. non-perishables; fuels vs. electricity) highlight policy-relevant
heterogeneity. The findings support state-contingent monetary–fiscal coordination
and targeted supply-side resilience to reduce inflation persistence under rising
climate volatility.
How to Cite
References
- Murtezaj, I. M., Rexhepi, B. R., Dauti, B., & Xhafa, H. (2024). Mitigating economic losses and prospects for the development of the energy sector in the Republic of Kosovo. Economics of Development. https://doi.org/10.57111/econ/3.2024.82
- Rexhepi, B. R., Mustafa, L., Sadiku, M. K., Berisha, B. I., Ahmeti, S. U., & Rexhepi, O. R. (2024). The impact of the COVID-19 pandemic on the dynamics of development of construction companies and the primary housing market: assessment of the damage caused, current state, and forecasts. Architecture Image Studies. https://doi.org/10.48619/ais.v5i2.988
- Daci, E., & Rexhepi, B. R. (2024). The role of management in microfinance institutions in Kosovo: a case study of the Dukagjini region. Quality—Access to Success. https://doi.org/10.47750/QAS/25.202.22
- Murtezaj, I. M., Rexhepi, B. R., Xhaferi, B. S., Xhafa, H., & Xhaferi, S. (2024). The study and application of moral principles and values in the fields of accounting and auditing. Pakistan Journal of Life and Social Sciences. https://doi.org/10.57239/PJLSS-2024-22.2.00286
- Kawiana, I. G. P., Rexhepi, B. R., Arsha, I. M. R. M., Swara, N. N. A. V., & Yudhistira, P. G. A. (2023). Accelerating values in shaping ethical leadership and its effect on organisational performance. Quality—Access to Success. https://doi.org/10.47750/QAS/24.196.36
- Rama, H., Rexhepi, N., & Rexhepi, B. R. (2023). The typology of consumers in Kosovo and motivation. Quality—Access to Success, 24(197). https://doi.org/10.47750/QAS/24.197.13
- 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
- Bernanke, B. S., Gertler, M., & Watson, M. (1997). Systematic monetary policy and the effects of oil price shocks. Brookings Papers on Economic Activity, 1997(1), 91–157. https://doi.org/10.2307/2534702
- Blanchard, O. J., & Galí, J. (2010). The macroeconomic effects of oil price shocks: Why are the 2000s so different from the 1970s? In J. Galí & M. Gertler (Eds.), International Dimensions of Monetary Policy (pp. 373–421). https://doi.org/10.7208/chicago/9780226278872.003.0010
- Hamilton, J. D. (2009). Causes and consequences of the oil shock of 2007–08. Brookings Papers on Economic Activity, 2009(1), 215–261. https://doi.org/10.1353/eca.0.0047
- Kilian, L. (2009). Not all oil price shocks are alike: disentangling demand and supply shocks in the crude oil market. American Economic Review, 99(3), 1053–1069. https://doi.org/10.1257/aer.99.3.1053
- Stock, J. H., & Watson, M. W. (2007). Why has U.S. inflation becomes harder to forecast? Journal of Money, Credit and Banking, 39(s1), 3–33. https://doi.org/10.1111/j.1538-4616.2007.00014.x
- Cogley, T., & Sargent, T. J. (2005). Drifts and volatilities: Monetary policies and outcomes in the post-WWII U.S. Review of Economic Dynamics, 8(2), 262–302. https://doi.org/10.1016/j.red.2004.10.009
- Fuhrer, J. (2011). Inflation persistence. In B. M. Friedman & M. Woodford (Eds.), Handbook of Monetary Economics (Vol. 3A, pp. 423–486). https://doi.org/10.1016/B978-0-444-53238-1.00009-0
- Gali, J., & Gertler, M. (1999). Inflation dynamics: A structural econometric analysis. Journal of Monetary Economics, 44(2), 195–222. https://doi.org/10.1016/S0304-3932(99)00023-9
- Calvo, G. A. (1983). Staggered prices in a utility-maximising framework. Journal of Monetary Economics, 12(3), 383–398. https://doi.org/10.1016/0304-3932(83)90060-0
- Woodford, M. (2003). Interest and prices: Foundations of a theory of monetary policy. Princeton University Press. https://doi.org/10.2307/j.ctt7s5q7
- Svensson, L. E. O. (1997). Inflation forecast targeting: Implementing and monitoring inflation targets. European Economic Review, 41(6), 1111–1146. https://doi.org/10.1016/S0014-2921(96)00055-4
- Clarida, R., Galí, J., & Gertler, M. (1999). The science of monetary policy: A New Keynesian perspective. Journal of Economic Literature, 37(4), 1661–1707. https://doi.org/10.1257/jel.37.4.1661
- Smets, F., & Wouters, R. (2007). Shocks and frictions in US business cycles: A Bayesian DSGE approach. American Economic Review, 97(3), 586–606. https://doi.org/10.1257/aer.97.3.586
- Nakamura, E., & Steinsson, J. (2014). Fiscal stimulus in a monetary union: Evidence from U.S. regions. American Economic Review, 104(3), 753–792. https://doi.org/10.1257/aer.104.3.753
- Gopinath, G. (2015). The international price system. Jackson Hole Economic Policy Symposium Proceedings. https://doi.org/10.3386/w21646
- Burstein, A., & Gopinath, G. (2014). The study focusses on international prices and exchange rates. In G. Gopinath, E. Helpman, & K. Rogoff (Eds.), Handbook of International Economics (Vol. 4, pp. 391–451). https://doi.org/10.1016/B978-0-444-54314-1.00007-6
- Corsetti, G., Dedola, L., & Leduc, S. (2008). The study focusses on international risk sharing and the transmission of productivity shocks. Review of Economic Studies, 75(2), 443–473. https://doi.org/10.1111/j.1467-937X.2008.00476.x
- Cavallo, A. (2018). Scraped data and sticky prices. Review of Economics and Statistics, 100(1), 105–119. https://doi.org/10.1162/REST_a_00652
- DellaVigna, S., & Gentzkow, M. (2019). Uniform pricing in U.S. retail chains. Quarterly Journal of Economics, 134(4), 2011–2084. https://doi.org/10.1093/qje/qjz019
- Deaton, A. (1989). Rice prices and income distribution in Thailand: A non-parametric analysis. Economic Journal, 99(395), 1–37. https://doi.org/10.2307/2234203
- Ivanic, M., & Martin, W. (2008). Implications of higher global food prices for poverty in low-income countries. Agricultural Economics, 39(s1), 405–416. https://doi.org/10.1111/j.1574-0862.2008.00347.x
- Headey, D., & Fan, S. (2008). Anatomy of a crisis: The causes and consequences of surging food prices. Agricultural Economics, 39(s1), 375–391. https://doi.org/10.1111/j.1574-0862.2008.00345.x
- Bellemare, M. F. (2015). The study focusses on the relationship between rising food prices, food price volatility, and social unrest. American Journal of Agricultural Economics, 97(1), 1–21. https://doi.org/10.1093/ajae/aau038
- Dell, M., Jones, B. F., & Olken, B. A. (2012). Temperature shocks and economic growth: Evidence from the last half century. American Economic Journal: Macroeconomics, 4(3), 66–95. https://doi.org/10.1257/mac.4.3.66
- Burke, M., Hsiang, S. M., & Miguel, E. (2015). The study focusses on the global non-linear effect of temperature on economic production. Nature, 527(7577), 235–239. https://doi.org/10.1038/nature15725
- Hsiang, S. M., & Jina, A. S. (2014). The causal effect of environmental catastrophe on long-run economic growth: Evidence from 6,700 cyclones. NBER Working Paper. https://doi.org/10.3386/w20352
- Strobl, E. (2011). The economic growth impact of hurricanes: Evidence from U.S. coastal counties. Review of Economics and Statistics, 93(2), 575–589. https://doi.org/10.1162/REST_a_00082
- Felbermayr, G., & Gröschl, J. (2014). Naturally negative: The growth effects of natural disasters. Journal of Development Economics, 111, 92–106. https://doi.org/10.1016/j.jdeveco.2014.07.004
- Botzen, W. J. W., Deschenes, O., & Sanders, M. (2019). The economic impacts of natural disasters: A review of models and empirical studies. Review of Environmental Economics and Policy, 13(2), 167–188. https://doi.org/10.1093/reep/rez004
- Diffenbaugh, N. S., & Burke, M. (2019). Global warming has increased global economic inequality. Proceedings of the National Academy of Sciences, 116(20), 9808–9813. https://doi.org/10.1073/pnas.1816020116
- Carleton, T. A., & Hsiang, S. M. (2016). Social and economic impacts of climate. The study was published in Science, 353(6304), aad9837. https://doi.org/10.1126/science.aad9837
- Hazell, P., & Hess, U. (2010). Drought insurance for agricultural development and food security in dryland areas. Food Security, 2(4), 395–405. https://doi.org/10.1007/s12571-010-0087-y
- Barnichon, R., & Brownlees, C. (2019). Impulse response estimation by smooth local projections. Review of Economics and Statistics, 101(3), 522–530. https://doi.org/10.1162/rest_a_00772
- Ramey, V. A. (2016). Macroeconomic shocks and their propagation. In J. B. Taylor & H. Uhlig (Eds.) discuss macroeconomic shocks and their propagation in the Handbook of Macroeconomics (Vol. 2, pp. 71–162). 2, pp. 71–162). https://doi.org/10.1016/bs.hesmac.2016.03.003
- Hamilton, J. D. (1996). This is what happened to the oil price–macroeconomy relationship. Journal of Monetary Economics, 38(2), 215–220. https://doi.org/10.1016/S0304-3932(96)01282-2
- Barsky, R. B., & Kilian, L. (2002). Do we really know that oil caused the massive stagflation? Barsky and Kilian proposed a monetary alternative. NBER Macroeconomics Annual, 16, 137–183. https://doi.org/10.1086/654451
- Pass-through reference: Campa, J. M., & Goldberg, L. S. (2005). Exchange rate pass-through into import prices. Review of Economics and Statistics, 87(4), 679–690. https://doi.org/10.1162/003465305775098189
- Goldberg, P. K., & Knetter, M. M. (1997). Goods prices and exchange rates: What have we learnt? Journal of Economic Literature, 35(3), 1243–1272. https://doi.org/10.1257/jel.35.3.1243
- Ghosh, A. (2014). Inflation targeting and exchange rates: A global perspective. International Monetary Fund Staff Papers. https://doi.org/10.1057/imfsp.2014.18
- Auer, R., Borio, C., & Filardo, A. (2017). The globalisation of inflation: The growing importance of global value chains. BIS Working Papers. https://doi.org/10.2139/ssrn.3025782
- Baumeister, C., & Peersman, G. (2013). The study examines the role of time-varying price elasticities in accounting for volatility changes in the crude oil market. Journal of Applied Econometrics, 28(7), 1087–1109. https://doi.org/10.1002/jae.2293
- Stock, J. H., & Watson, M. W. (2016). The study focused on core inflation and trend inflation. Review of Economics and Statistics, 98(4), 770–784. https://doi.org/10.1162/REST_a_00608
- Chen, S., & Watanabe, T. (2018). The role of food prices in inflation dynamics in developing countries. Journal of International Money and Finance, 86, 120–141. https://doi.org/10.1016/j.jimonfin.2018.04.006
- Anand, R., Prasad, E., & Zhang, B. (2015). What measures underlying inflation best? The study draws evidence from a panel of emerging markets. IMF Working Paper. https://doi.org/10.5089/9781498349277.001
- Gelos, G., & Ustyugova, Y. (2017). Inflation responses to commodity price shocks—How and why do countries differ? Journal of International Money and Finance, 72, 28–47. https://doi.org/10.1016/j.jimonfin.2017.01.001
- Fiscal dominance (Pakistan context): (2022). Fiscal dominance and the inflation dynamics in Pakistan: An empirical analysis. Global Business Review. https://doi.org/10.1177/09763996221103003
- Bekaert, G., Hoerova, M., & Lo Duca, M. (2013). The study focused on risk, uncertainty, and monetary policy. Journal of Monetary Economics, 60(7), 771–788. https://doi.org/10.1016/j.jmoneco.2013.06.003
- Bloom, N. (2009). The impact of uncertainty shocks. Econometrica, 77(3), 623–685. https://doi.org/10.3982/ECTA6248
- Nakamura, E., & Steinsson, J. (2008). Five facts about prices: A reevaluation of menu cost models. Quarterly Journal of Economics, 123(4), 1415–1464. https://doi.org/10.1162/qjec.2008.123.4.1415
- Golosov, M., & Lucas, R. E. (2007). The study focused on menu costs and Phillips curves. Journal of Political Economy, 115(2), 171–199. https://doi.org/10.1086/512384
- Gabaix, X. (2020). A behavioural New Keynesian model. American Economic Review, 110(8), 2271–2327. https://doi.org/10.1257/aer.20171005
- Carvalho, C., & Nechio, F. (2014). Do people understand monetary policy? Journal of Monetary Economics, 66, 108–123. https://doi.org/10.1016/j.jmoneco.2014.06.005
- Deryugina, T., & Hsiang, S. M. (2017). The study focusses on the marginal product of climate. NBER Working Paper. https://doi.org/10.3386/w24072