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Inflation and energy price shocks: lessons from the 1970s

Published online by Cambridge University Press:  20 October 2025

Matteo Gomellini*
Affiliation:
Banca d’Italia
Dario Pellegrino
Affiliation:
Banca d’Italia
Francesco Corsello
Affiliation:
Banca d’Italia
*
Matteo Gomellini, Economic History Division, Banca d’Italia – Structural Economic Analysis Directorate, DG Economics, Statistics and Research, via di San Vitale 19, 00184 Rome, Italy, email: matteo.gomellini@bancaditalia.it; Dario Pellegrino, email: dario.pellegrino@bancaditalia.it; Francesco Corsello, email: francesco.corsello@bancaditalia.it. We would like to thank, without implicating, Fabrizio Balassone, Federico Barbiellini Amidei, Andrea Brandolini, Paolo Del Giovane, Stefano Neri, Roberto Torrini, Ignazio Visco, Giordano Zevi and Roberta Zizza who provided us with valuable suggestions. We also thank two anonymous referees for their insightful comments. All remaining errors are our own and the opinions expressed in the article do not necessarily represent the views of the Bank of Italy.
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Abstract

The 1970s oil shocks sparked high and persistent inflation in advanced economies, also tied to the collapse of the Bretton Woods international monetary system in 1971 that left monetary policy without a stable institutional reference framework. Only in the following decades did a new monetary regime emerge, centered on inflation targeting schemes adopted by independent central banks. Beyond this, other factors affected inflation persistence, namely wage-price spirals rooted in automatic wage adjustment mechanisms, and fiscal policies financed thanks to the regulatory requirement for the central bank to purchase unsold public debt. This article gives a concise analysis of the rationale and provides descriptive evidence of the role these institutional aspects played in the 1970s, suggesting how their evolution has reduced the likelihood of 1970s-style inflationary episodes today. A structural VAR-based counterfactual exercise confirms that absent wage and fiscal pressures inflation persistence would have been significantly lower.

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Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of The European Association for Banking and Financial History e.V.
Figure 0

Figure 1. Spot Crude (WTI) Oil price level and growth, 1960–85 Source: FRED, Federal Reserve Bank of St. Louis.

Figure 1

Figure 2. Consumer inflation in selected countries, 1960–2022 Source: BIS Statistics Warehouse.

Figure 2

Figure 3. Inflation persistence in selected countries: 1973–7 versus 1978–82

Source: Our elaboration on BIS Statistics Warehouse data. Persistence is obtained for each country using a univariate time-varying AR(2) model with stochastic volatility, estimated using Bayesian methodologies. The black line represents the estimated density of inflation persistence in G7 countries in the decade 1972–82. The vertical dashed lines represent the average persistence in two subsamples: 1973–7 (red), 1978–82 (blue).
Figure 3

Figure 4. Inflation persistence in selected countries, 1965–85

Source: Our elaboration on BIS Statistics Warehouse. The solid lines present the posterior median persistence estimated as explained in the note below Figure 3. The vertical dashed lines correspond to the oil shocks.
Figure 4

Figure 5. Policy rates in selected countries, 1960–85

Source: Our elaboration on BIS Statistics Warehouse and IFS/IMF.
Figure 5

Figure 6. Monetary policy stance (ex-post real interest rate) Note: Ex-post real interest rates represent a simple and model-independent measure of the monetary policy stance: ECB (2010).

Figure 6

Figure 7. GDP, inflation and policy rates in selected countries, 1960–85

Source: Our elaboration on BIS Statistics Warehouse, IMF/IFS and OECD.
Figure 7

Figure 8. Average policy rates and inflation Note: Average policy rates are computed in the two years after the two oil shocks (x-axis); average inflation (left panel) and inflation reduction (right panel) are computed in the six years after the shocks. Inflation reduction is defined as the percentage difference in the average inflation levels between the first and the last two years of the period. Source: Our elaboration on BIS Statistics Warehouse, IMF/IFS and OECD.

Figure 8

Figure 9. Central bank degree of independence (y-axis) and average inflation (x-axis) Source: CBI index is from Alesina (1988), average inflation is elaborated from BIS.

Figure 9

Figure 10. Average fiscal deficit to GDP (y-axis) and average inflation (x-axis) Source: Our elaboration on BIS Statistics Warehouse and IMF Historical Public Finance dataset(Mauro et al. 2013).

Figure 10

Figure 11. Labor market conflicts (y-axis), wage indexation (colours) and average inflation (x-axis) Note: The strike index is the log of average annual working days lost per 1,000 non-agricultural employees, 1950–69. Source: for strike index, McCallum (1983); for wage indexation, Bruno and Sachs (1985).

Figure 11

Figure 12. Institutional factors in OECD countries, then and now (a) Index of Central Bank Independence (b) Automatic wage indexation Source: (a) Romelli (2022). The index builds on existing measurements of political and economic central bank independence, providing an expanded time-frame. It is ranged between 0 and 1.(b) OECD/AIAS ICTWSS database. Note: the variable takes value 1 (yes) if (most or many) collective agreements contain (semi-)automatic index or cost-of-living escalator; 0 (no) if use of index clauses is rare or forbidden.

Figure 12

Figure 13. Impulse response to oil price shock: Italy Note: The dashed line is the posterior median, while shaded bands correspond to the 68 per cent credible posterior region.

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Figure 14. Impulse response to oil price shock: US Note: The dashed line is the posterior median, while shaded bands correspond to the 68 percent credible posterior region.

Figure 14

Figure 15. Impulse response to oil price shock: Germany Note: The dashed line is the posterior median, while shaded bands correspond to the 68 per cent credible posterior region.

Figure 15

Figure 16. Impulse response to oil price shock using sign restrictions: Italy and Germany Note: The dashed line is the posterior median, while shaded bands correspond to the 68 percent credible posterior region. The sign restrictions are detailed below.

Figure 16

Figure 17. Zeroing out monetary policy: counterfactual response in Italy Note: The blue (dashed line) corresponds to the benchmark scenario, while the red (solid line) represents the counterfactual exercise where the response of the policy rate has been muted.

Figure 17

Figure 18. Zeroing out fiscal policy and earning inflation: counterfactual response in Italy Note: The blue (dashed line) corresponds to the benchmark scenario, while the red (solid line) represents the counterfactual exercise where the responses of earnings inflation and deficit/GDP have been zeroed out.