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Bank of England · Jul 17, 2026

Gaffney, Petrova, Potjagailo and Sisko examine UK inflation in Bank of England paper

Markdown · JSON · Original source

Published on 17 July 2026, Andrew Gaffney, Katerina Petrova, Galina Potjagailo and Andrea Sisko examine how oil supply shocks affect UK inflation under different inflation and labour-market conditions. Their Self-Exciting Threshold Vector Autoregression (SET-VAR) estimates when inflation dynamics shift and how shock transmission differs across regimes. Using monthly UK data, they find changes above inflation thresholds of around 3.1% and 3.5% in samples beginning in 1989 and 1976, respectively. They report that oil price increases generated by adverse global oil supply news shocks have substantially larger and more persistent effects on UK inflation in high-inflation regimes. Their analysis indicates that household inflation expectations account for much of this amplification, strongest when elevated inflation coincides with tight labour markets. The authors present the model as a tool for analysing non-linear inflation dynamics and the paper as part of a series intended to encourage feedback and continued model development. The findings are based on monthly UK data; whether the estimated thresholds and expectation effects carry over to other data or periods remains unknown.

Headline and summary by Escape Meridian, prepared by Luna from the attributed source. A source check is not independent confirmation of the source’s claims.

Bank of EnglandArticle · bankofengland.co.ukOpen original source

Original source

Bank of England · Article

Source details

Original source date: Jul 17, 2026 (2026-07-17T13:00:00.000Z).

Date basis: Date supplied by the publisher’s feed.

Added to Escape Meridian: 2026-11-06T08:18:23.931Z. First observed: 2026-10-24T06:43:54.698Z. Retrieved: 2026-10-24T06:45:36.828Z.

Referenced by

Recorded citations and public file attachments. A reference alone does not establish agreement or influence.

No public references recorded here yet.

Reference data (JSON)

Limits

The findings described are based on monthly UK data and the authors’ SET-VAR and analysis; the source does not establish whether the estimated relationships hold in other data or periods. The paper is presented as work intended to encourage feedback and continued model development. Text as retrieved on October 24, 2026; originally published July 17, 2026.

Open question

How well do the estimated thresholds and expectation effects carry over to other data or periods?

Source-stated

The authors use a Self-Exciting Threshold Vector Autoregression to estimate inflation thresholds and analyse state-dependent inflation dynamics in the UK.

This paper identifies inflation thresholds and analyses state-dependent inflation dynamics in the UK using a Self-Exciting Threshold Vector Autoregression (SET-VAR).

Source-stated

Using monthly UK data, the authors find inflation dynamics change above estimated thresholds of around 3.1% and 3.5%, depending on the sample period.

Using monthly UK data, we find that inflation dynamics change once year-on-year CPI inflation rises above thresholds of around 3.1% and 3.5% in samples beginning in 1989 and 1976, respectively.

Source-stated

The authors find that adverse global oil supply news shocks have larger and more persistent effects on UK CPI inflation in high-inflation regimes.

Oil price increases generated by adverse global oil supply news shocks have substantially larger and more persistent effects on UK CPI inflation in high-inflation regimes.

Source-stated

The authors’ counterfactual analysis attributes much of the amplification to household inflation expectations, with the strongest amplification when elevated inflation coincides with tight labour markets.

Counterfactual analysis indicates that much of this amplification reflects second-round effects operating through household inflation expectations, with amplification strongest when elevated inflation coincides with tight labour markets.

Escape Meridian interpretation

Escape Meridian reads the paper as offering a model-based way to examine how inflation conditions and labour-market tightness may shape the effects of oil supply shocks; the evidence does not establish that the estimated relationships apply in other periods.

Using monthly UK data, we find that inflation dynamics change once year-on-year CPI inflation rises above thresholds

Source and contributor context

Bank of England · Publisher

The publisher is identified here. No individual author has been inferred.

Source media

Media retrieval status: unchecked.

Terms and references

Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.

Consumer price index

A measure of the average change over time in the prices consumers pay for a representative basket of goods and services; it measures inflation as consumers experience it in day-to-day living expenses.

Counterfactual

An argument or scenario that considers what would have resulted if events had gone differently from how they actually did, such as if a policy had never been adopted; as an adjective, relating to this kind of thinking about what did not happen but could have.

Editorial provenance

Version 1. Publication ID: d91b0346-4826-9173-b569-89b42724b38d.

Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.

Source check: passed by anthropic/claude-opus-5.5 on 2026-11-06T08:13:41.571Z. This checks fidelity to the source, not whether its claims are independently true.

Editorial selection: accept; reasons: bridge_admitted_by_model, second_opinion_categorical.

Observation: 206cbf35ea312fc173909dce20d387798b0a3f50116702790cf89deb2ec942ff. Source text hash: 8324ebe7db4def498016cc8d01a0be3f22e7dbf695b9124826fb0800c49f19ab.

Revision and source-check history

Version 1 · 2026-11-06T08:18:23.931Z

Gaffney, Petrova, Potjagailo and Sisko examine UK inflation in Bank of England paper

Published on 17 July 2026, Andrew Gaffney, Katerina Petrova, Galina Potjagailo and Andrea Sisko examine how oil supply shocks affect UK inflation under different inflation and labour-market conditions. Their Self-Exciting Threshold Vector Autoregression (SET-VAR) estimates when inflation dynamics shift and how shock transmission differs across regimes. Using monthly UK data, they find changes above inflation thresholds of around 3.1% and 3.5% in samples beginning in 1989 and 1976, respectively. They report that oil price increases generated by adverse global oil supply news shocks have substantially larger and more persistent effects on UK inflation in high-inflation regimes. Their analysis indicates that household inflation expectations account for much of this amplification, strongest when elevated inflation coincides with tight labour markets. The authors present the model as a tool for analysing non-linear inflation dynamics and the paper as part of a series intended to encourage feedback and continued model development. The findings are based on monthly UK data; whether the estimated thresholds and expectation effects carry over to other data or periods remains unknown.

Original source

Bank of England · Article

Source details

Original source date: Jul 17, 2026 (2026-07-17T13:00:00.000Z).

Date basis: Date supplied by the publisher’s feed.

Added to Escape Meridian: 2026-11-06T08:18:23.931Z. First observed: 2026-10-24T06:43:54.698Z. Retrieved: 2026-10-24T06:45:36.828Z.

Limits

The findings described are based on monthly UK data and the authors’ SET-VAR and analysis; the source does not establish whether the estimated relationships hold in other data or periods. The paper is presented as work intended to encourage feedback and continued model development. Text as retrieved on October 24, 2026; originally published July 17, 2026.

Open question

How well do the estimated thresholds and expectation effects carry over to other data or periods?

Source-stated

The authors use a Self-Exciting Threshold Vector Autoregression to estimate inflation thresholds and analyse state-dependent inflation dynamics in the UK.

This paper identifies inflation thresholds and analyses state-dependent inflation dynamics in the UK using a Self-Exciting Threshold Vector Autoregression (SET-VAR).

Source-stated

Using monthly UK data, the authors find inflation dynamics change above estimated thresholds of around 3.1% and 3.5%, depending on the sample period.

Using monthly UK data, we find that inflation dynamics change once year-on-year CPI inflation rises above thresholds of around 3.1% and 3.5% in samples beginning in 1989 and 1976, respectively.

Source-stated

The authors find that adverse global oil supply news shocks have larger and more persistent effects on UK CPI inflation in high-inflation regimes.

Oil price increases generated by adverse global oil supply news shocks have substantially larger and more persistent effects on UK CPI inflation in high-inflation regimes.

Source-stated

The authors’ counterfactual analysis attributes much of the amplification to household inflation expectations, with the strongest amplification when elevated inflation coincides with tight labour markets.

Counterfactual analysis indicates that much of this amplification reflects second-round effects operating through household inflation expectations, with amplification strongest when elevated inflation coincides with tight labour markets.

Escape Meridian interpretation

Escape Meridian reads the paper as offering a model-based way to examine how inflation conditions and labour-market tightness may shape the effects of oil supply shocks; the evidence does not establish that the estimated relationships apply in other periods.

Using monthly UK data, we find that inflation dynamics change once year-on-year CPI inflation rises above thresholds

Source and contributor context

Bank of England · Publisher

The publisher is identified here. No individual author has been inferred.

Source media

Media retrieval status: unchecked.

Terms and references

Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.

Consumer price index

A measure of the average change over time in the prices consumers pay for a representative basket of goods and services; it measures inflation as consumers experience it in day-to-day living expenses.

Counterfactual

An argument or scenario that considers what would have resulted if events had gone differently from how they actually did, such as if a policy had never been adopted; as an adjective, relating to this kind of thinking about what did not happen but could have.

Editorial provenance

Version 1. Publication ID: d91b0346-4826-9173-b569-89b42724b38d.

Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.

Source check: passed by anthropic/claude-opus-5.5 on 2026-11-06T08:13:41.571Z. This checks fidelity to the source, not whether its claims are independently true.

Editorial selection: accept; reasons: bridge_admitted_by_model, second_opinion_categorical.

Observation: 206cbf35ea312fc173909dce20d387798b0a3f50116702790cf89deb2ec942ff. Source text hash: 8324ebe7db4def498016cc8d01a0be3f22e7dbf695b9124826fb0800c49f19ab.

passed · 2026-11-06T08:13:41.571Z · anthropic/claude-opus-5.5

Publication: d91b0346-4826-9173-b569-89b42724b38d

attribution — pass: The reading attributes the paper to Andrew Gaffney, Katerina Petrova, Galina Potjagailo and Andrea Sisko, published by the Bank of England as a Macro Technical Paper. This matches the source byline. The 'Other Macro Technical Papers' listing is page navigation beside a single paper with its own abstract, so the reading has one source to attribute.

By Andrew Gaffney, Katerina Petrova, Galina Potjagailo and Andrea Sisko

summary — pass: The summary leads with the actors and the question: how oil supply shocks affect UK inflation under different conditions. It explains what SET-VAR does (it estimates when inflation dynamics shift) and reports the thresholds, the amplification and the role of expectations faithfully. CPI and counterfactual are defined beside the reading. SET-VAR and Vector Autoregression are suggested term-library additions, but the functional explanation is enough to understand the paper. The title and the question are neutral.

The model combines endogenous threshold estimation with regime-dependent shock transmission, providing a tractable tool for analysing non-linear inflation dynamics.

date — pass: 17 July 2026 matches the source dateline and the UTC day of originalPublished. The 'Other Macro Technical Papers' sidebar contains a later item (23 October 2026), but the reading neither uses nor relies on it. The retrieval note does not frame anything in hindsight. The source is a publisher page, not an archive copy.

Published on 17 July 2026

support — pass: Each claim closely tracks the abstract: the thresholds, the larger and more persistent oil-shock effects, and the expectations-driven amplification that is strongest in tight labour markets. The interpretation claim is labelled as Escape Meridian's and is appropriately hedged. The limitation that results may not generalise is framed as an unknown, not as a claim. There are no unsupported benefits or costs.

Counterfactual analysis indicates that much of this amplification reflects second-round effects operating through household inflation expectations, with amplification strongest when elevated inflation coincides with tight labour markets.

media — pass: No media was selected and no verified candidates were supplied, so nothing is misidentified.

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