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Monetary policymaking at the Bank of England in uncertain times

By Pavandeep Dhami, Mike Goldby, Clare Macallan, Ben Nelson, Matt Tong and Danny Walker.

Executive summary

Monetary policy makers around the world are facing a more unstable environment. While uncertainty has long been a feature of monetary policymaking, it has risen in recent years, driven by the size and scope of shocks and structural change. This more unstable environment will continue to make monetary policymaking more challenging than in the past.

Monetary policymaking, whatever the underlying environment, is complex. There is no mechanical link between any particular form of analysis and the right policy decisions. It would be risky to rely overly on any single perspective or approach in making policy. That is why monetary policymaking at the Bank is being reshaped to give greater consideration to a wider range of economic perspectives and analytical inputs and to draw on careful expert judgement when interpreting those inputs. The economic environment will vary over time, and so the emphasis placed on different types of analysis for policymaking will in turn be flexible.

The changes to policymaking outlined in this article have already begun and will be supported by wider analysis, tools and models in the coming years.

Given the wider range of inputs that are now informing policy, the MPC’s communications are adapting, including through an updated Monetary Policy Report and a new Monetary Policy Overview. The communications will better reflect the wider range of analysis that is informing policy.

Monetary policymaking in the face of uncertainty

Uncertainty has long been a feature of the monetary policy landscape.

It has been long-recognised that uncertainty is an ever-present challenge in monetary policymaking (Greenspan (2003)). This is not a challenge unique to monetary policy, uncertainty is endemic in many other public policy areas as well (Kay and King (2020) and Spiegelhalter (2024)). Monetary policy makers face uncertainty about the data, about the nature and persistence of shocks, and about the structure of the economy. The level and type of uncertainty that is most relevant for monetary policy will fluctuate over time as economic conditions vary.

Uncertainty has risen in recent years, driven in part by unprecedented shocks.

The MPC was granted independence for UK monetary policy in 1997. The initial decade after independence happened to coincide with a period of relatively limited uncertainty (Bailey (2025)). This was the so-called ‘NICE’ era (or ‘Non-Inflationary and Consistently Expansionary’ (King (2003)). Inflationary shocks were small, supply growth was stable and fluctuations in output were almost entirely the result of relatively small shocks to aggregate demand (Carney (2020)).

Uncertainty has increased since the global financial crisis in 2008 and the economic environment has turned from ‘NICE’ to ‘NAsTY’ (‘Not-As-Tranquil Years’; Broadbent (2024)). The UK has faced a series of unprecedented shocks, with particularly uncertain effects. Many of these have been global in nature. This includes the global financial crisis, material changes to the UK’s trading arrangements following the referendum on the UK’s membership of the European Union, the Covid-19 pandemic and Russia’s invasion of Ukraine.

Many of these shocks have had significant implications for aggregate supply, as well as aggregate demand. Some have driven very large increases in inflation and presented challenges for the MPC around the appropriate speed at which to bring inflation back to target (Chart 1).

This has come against a backdrop of significant structural change.

Assessing the state of aggregate supply has become more difficult as the UK economy has continued to experience significant structural change. These changes include many years of very low productivity growth, shifts in the geopolitical environment, and demographic changes. And there is clear scope for rapid and far-reaching technological change in the future driven by artificial intelligence (AI), creating the potential for further supply side transformation via technology and labour markets. All of these phenomena contribute to uncertainty around the supply side of the economy, which makes assessing inflationary pressures more difficult.

The instability in the economy is likely to remain in the future.

The world is likely to remain unstable in the future, as it has been in the recent past. Heightened uncertainty, new and unusual disturbances and structural change are unlikely to abate. This instability is likely to continue to present challenges to monetary policymaking in the future.

Challenges for monetary policy

Clarity and stability of the institutional framework and objectives for monetary policy are particularly important during times of uncertainty.

The Bank of England has a primary objective for price stability. Key elements of the institutional framework for monetary policy – such as operational independence over monetary policy, an annual remit letter from the Chancellor of the Exchequer, and decision making by the MPC – are set out in primary legislation. The Chancellor specifies the definition of price stability in the annual remit letter. The MPC sets monetary policy to meet the 2% inflation target and does so in a way that helps to sustain growth and employment. Price stability supports investment, spending and hiring decisions. This in turn supports the innovation and dynamism that drives productivity growth and improvements in living standards.

The institutional framework has proven resilient in the face of recent unprecedented shocks. The clarity of the framework is particularly important in anchoring inflation expectations during times of uncertainty (Pill (2025)).

But a more unstable environment makes monetary policymaking more challenging.

Monetary policymaking has become much more challenging against a backdrop of higher uncertainty, unprecedented shocks and structural change. A separate staff paper (Haberis et al (2025)) examines the implications of uncertainty for monetary policymaking in more detail, drawing on theory to assess ways in which uncertainty can be factored into monetary policymaking in practice.

There is no mechanical link between any particular form of analysis and monetary policy.

In a stylised hypothetical world a single central projection for inflation could be used mechanically to formulate and communicate monetary policy. In that world, monetary policy makers would have to be certain that demand shocks were the only driver of the outlook and know with certainty how those demand shocks and the impacts of policy would play out. This is illustrated in a stylised form in Panel A of Figure 1 (below, and for further discussion refer to Haldane (1998)). But the challenges posed by higher uncertainty and a more volatile economy emphasise the limitations of a stylised mechanical approach to monetary policy like this one. And while a central projection will often be an important input into monetary policymaking, there has never been a direct link between a central projection and monetary policymaking (Bean and Jenkinson (2001)).

It would be risky to rely on any single perspective in monetary policymaking.

It is important not to place too much emphasis on any single perspective or type of input in making monetary policy. Relying on a single analytical framework, a single model or a single projection carries risk, and these risks are much greater in an unstable environment. For example, any particular approach might not capture important aspects about how the economy is working at that point in time – particularly if there is elevated uncertainty or the economy is going through a period of structural change. So, conclusions drawn on the basis of any single perspective could give misleading steers on the right way to set policy. This also underlines the importance of a flexible policy process that is not anchored around a single perspective – or a single central projection.

Changes to the Bank’s monetary policy process

In response to the changing economic environment, the Bank is changing the way it makes monetary policy.

The Bank is making important changes in response to the recommendations in the Bernanke Review into the Bank’s forecasting and related processes during times of significant uncertainty (Lombardelli (2024)). To enable the changes to the policy approach outlined in this article, significant investments in the Bank’s modelling capacity and data infrastructure are being undertaken.

The MPC will draw on a wider range of perspectives and inputs.

The MPC will routinely draw on a wider range of perspectives and inputs in monetary policymaking. It has already begun to do this. This means a range of models, diverse data sources, and analysis that sheds light on specific policy-relevant mechanisms in the economy. These inputs are and will continue to be drawn from multiple models, techniques and approaches – to reduce the reliance on any single way of thinking and encourage challenge. The next section elaborates on the types of inputs that are useful to the MPC.

The MPC’s policy approach will be flexible and adapt to the economic environment.

We are building greater flexibility into the MPC’s policy approach. The analytical inputs it considers, and the emphasis it places on them, will continue to vary over time. For example, in an environment where relatively few small and familiar demand shocks are prominent drivers of the outlook for inflation, the MPC would likely place more emphasis on a central projection in its deliberations. However, in an environment where uncertainty is high or new and unusual disturbances occur – like shifts in the geopolitical landscape, for example – the MPC would put more emphasis on a wider range of inputs. In a more unstable environment, it might in turn place more emphasis on the evolution of the data rather than a projection.

The MPC is set up to draw on a range of expert views to provide careful judgement when interpreting the wider range of inputs.

Expert judgement will always be required to fill the gap between individual analytical inputs and the implications for policy. Judgement is inherently subjective and difficult to evaluate in real time. The institutional framework and the structure of the MPC is designed to be robust to this through drawing on the insights and knowledge of nine members with diverse experiences and expertise. MPC members are held to account individually and explain the judgement that has influenced their policy actions externally. The MPC is in turn supported by expert staff with a range of highly relevant skills and experiences.

The Bank’s monetary policy approach and communications will continue to evolve within this new structure over time.

The Bank’s new approach to monetary policy is illustrated in stylised form in Panel B of Figure 1. This approach will continue to evolve over time, including to incorporate the new and improved modelling capacity and data infrastructure that the Bank is building.

The Bank will absorb new ideas, encourage debate and invite challenge. Recent steps to enhance the openness of monetary policymaking at the Bank include extensive academic and central bank engagement, a new Macro Technical Paper (MTP) series and an international conference on transforming monetary policy, which informed the changes set out in this article.

The Bank will also continue to learn from practice in other countries and wider disciplines. The approach will adapt to take into account a wider range of analytical inputs as the Bank’s capabilities improve, and it will also adapt to lessons learned from the changes over time.

Inputs into monetary policymaking

The Bank will continue to widen the range of inputs into monetary policy.

The MPC has always considered a range of analytical inputs as part of its policymaking but the Bank has recently taken steps to make the policy approach more flexible and widen the range of inputs that are presented by staff (for recent examples of MPC members highlight the role of diverse inputs read Greene (2025), Mann (2025) and Pill (2025)). The Bank is significantly expanding its modelling capacity and data infrastructure that will allow the MPC to widen further the range of analysis it considers.

Table A outlines the types of analytical inputs that the MPC will routinely consider as part of its policy deliberations. This includes sources like various forms of data, case studies, empirical and macroeconomic models and insights from academic research, including the efforts of Bank researchers. It also includes inputs that can be used to translate insights more directly into policy implications, which is the process of combining inputs together through the application of expert judgement.

The Bank will expand its toolkit to include richer assessments of risk, uncertainty and analysis of alternative policy approaches.

Richer assessments of risk and uncertainty are an important area of expansion in the Bank’s analytical toolkit. The Bernanke Review pointed to scenario analysis as a particularly useful input and there are a number of ways they will be used in policymaking (read Box A for further details).

The MPC will explore policy analysis facilitated by Bank staff’s simulation exercises (Alati et al (2025)). These simulation exercises draw on simple policy rules that are broadly illustrative of past monetary policy decisions, and so-called optimal policy projections. These tools are used to simulate alternative policy approaches and the associated economic outcomes. They show how alternative policy approaches affect the economic outcomes that can be achieved by policymakers and can assess how a given approach performs in alternative scenarios. This helps policymakers consider the merits of alternative monetary policy approaches and the nature of any trade-off between the speed at which inflation is returned to target and stabilising output (Carney (2017)).

As with any other input, there is no mechanical link between policy simulations and real-world monetary policy decisions. And these tools are stylised and simplified. So, they do not accurately reflect the MPC’s real-world reaction function.

The Bank will expand the use of data science techniques and AI in its monetary policymaking.

The Bank already makes regular use of big data to inform monetary policy decisions, drawing on household and firm-level survey and administrative data, regulatory submissions, and high-frequency economic indicators. AI tools are increasingly embedded in analytical workflows, including techniques adapted for econometric analysis (Anesti et al (2021) and Buckmann and Potjagailo (2025)). The Bank is also expanding its use of natural language processing and analysis of text data.

Looking ahead, the Bank’s analytical capabilities will be significantly enhanced by the rollout of the Enterprise Data Platform (EDP) – a cloud-based, integrated data and analytics ecosystem. The EDP will support scalable machine learning and AI use cases, enable secure and decentralised access to structured and unstructured data, and provide modern tooling for data scientists, analysts, and policymakers. While web scraping is already used for some data collection, the EDP will allow for more sophisticated integration of diverse data sources to generate insights into the economy and policy.

Table A: Examples of analytical inputs to support monetary policymaking

Supporting inputs

Intermediate inputs

Bespoke macroeconomic models (eg structural models)

Current economic assessment (eg nowcasting and nearcasting)

Big data, official data and unstructured sources of data

Policy analysis (eg policy rules and simulations)

Case studies and case-based analysis

Policy synthesis (combining inputs using judgement)

Empirical analysis (eg econometrics, machine learning)

Projections and forecasts (point and density)

Intelligence gathered via Agents and from market participants

Literature reviews

Research (from inside and outside the Bank)

Surveys

Scenarios

Changes to the MPC’s communications

We are adapting the MPC’s communications so that they better reflect the wide range of inputs that are informing monetary policy.

Ultimately, monetary policy makers need to reach a policy decision, explain that to the public, and be accountable for it. Public understanding of the monetary policy objective and the policy decisions intended to achieve it is at the core of the MPC’s ability to deliver price stability. The MPC uses layered communications to explain its policy decision to different audiences and will continue to do so. The MPC’s communications package is summarised in Figure 2.

We will be updating the content of the quarterly Monetary Policy Report so that it is more flexible and covers the wider range of perspectives and inputs considered by the MPC in their deliberations. This will include wider analysis covering issues most relevant to the monetary policy decision, as well as a section on risks containing scenarios where appropriate.

The Report will continue to contain a central projection for the UK economy, one that the majority of the MPC agrees is a reasonable baseline (Bailey (2025)). For now, we will continue to provide fan charts, based on historical forecast errors, depicting uncertainty around the central projections for inflation, GDP and unemployment. But MPC judgements about the balance of risks will be communicated through qualitative statements, rather than judgemental adjustments to the fan charts. Bank staff will continue to investigate the most effective ways of communicating uncertainty to different audiences.

A new Monetary Policy Overview will set out how the analytical inputs have informed the MPC’s collective policy decision. This will sit alongside the existing Monetary Policy Summary – a short explanation of the MPC’s collective policy decision.

Because MPC members are individually accountable for their policy decisions, and debate among members enhances the robustness of policy decisions, monetary policy communications must balance a clear articulation of the collective policy decision with detail on individual members’ views and the main areas of debate.

Individual MPC members have always explained their views in speeches. From November 2025, we will provide such information on the day of the policy decision. In addition to a record of MPC discussions, the Minutes will contain space for each member to explain their own policy views.

These changes should ensure that the MPC’s communications better reflect the wider range of inputs that are informing policy and that they adapt as the importance of those inputs varies.

Box A: Scenarios as an input into monetary policy

The Bernanke Review pointed to scenario analysis as a particularly useful type of input. This box outlines the different ways of designing scenarios and the varied ways they can be used in monetary policymaking.

What is a scenario?

A scenario is a plausible story for how developments could unfold.

Scenarios shed light on how the future might differ depending on how events could play out or different views about where the economy is starting from. This is a broad definition encompassing a wide spectrum of possibilities. Regardless of the specific type of scenario, there is a common goal of enabling policymakers to go beyond more qualitative or partial economic analysis.footnote [1] Scenarios, like all models and projections, are simplifications of reality.

A central projection and sensitivity analysis can provide a starting point…

At its most basic, the outcome of adjusting a single assumption that underpins a central projection and working that through a model can be described as a scenario, though it is perhaps better framed as sensitivity analysis. For example, Box D in the August 2025 Monetary Policy Report investigated the sensitivity of the MPC’s projections to an unanticipated rise in global energy prices and Box 6 in the August 2019 Inflation Report investigated the sensitivity of the MPC’s projections to Brexit. Elsewhere, the European Central Bank regularly publish sensitivity analysis for energy prices and exchange rates (for example Section 6 of the September 2025 ECB staff macroeconomic projections).

…complemented with scenarios that explore different economic mechanisms, models or economic shocks.

But scenarios are typically richer than sensitivity analysis because they explore different economic mechanisms or economic shocks. For example, sensitivity analysis can provide some indication of how higher energy prices might affect inflation, but a scenario could also explore second-round effects through inflation expectations, which would in part depend on the state of the labour market and firms’ pricing power. In August 2022, the MPC explored both the sensitivity of the baseline projection to global energy prices and a scenario in which there was greater persistence in domestic price setting (Box A of the August 2022 Monetary Policy Report).

How can scenarios be used in practice?

A clear story can set out not only how events may unfold differently but why. As summarised in Figure A, scenarios have the potential to enrich the internal policy debate, when formulating policy, and externally, when communicating policy.

Scenarios can help to express the diversity of views across the MPC, including differences of view on the central projection…

Embracing a diversity of views is built into the UK monetary policy framework. Individual MPC members bring their own perspectives, which supports thorough discussions and policymaking. Scenarios can be used as benchmarks for these discussions, in a manner that encourages debate centred around mechanisms. In some cases, individual MPC members might use scenario analysis to express their differences of view on the central projection. For example, Pill (2025) noted that his concerns were captured in part by the inflation persistence scenario presented in Box A of the May 2025 Monetary Policy Report, though they stretched beyond the risks illustrated within the scenario itself.

…work through the policy implications of different economic outcomes.

Policymakers can use scenarios internally to help them explore how policy might evolve in different circumstances. Some quantification, typically achieved by applying mechanical policy rules, can provide a useful starting point. But policymakers face a much wider information set than the small number of economic variables that are typically brought together in a policy rule, and they need to navigate wider uncertainty.

Scenarios can also provide some structure to assist data-dependent policymaking.

Related, scenarios can help make policy more robust through fostering an environment of continuous learning. Forming a scenario can provide a basis to evaluate policy judgements as events unfold and new data become available, to assess whether they are on track and to recalibrate policy as appropriate. It can in effect provide structure and transparency around a data-dependent policy strategy.

Scenarios can also help policymakers to weigh different risks and explore risk management considerations…

Scenarios could be used to inform policy through risk management where they use policy effectively to take out insurance against certain economic outcomes (Pill (2022)). In the years before the pandemic, when policy rates were close to the lower bound, there was an argument for central banks to set looser monetary policy in the presence of uncertainty given the effects of asymmetry in available monetary policy space (Evans et al (2015) and Saunders (2020)). At the same time, when there is uncertainty about the degree of inflation persistence in the economy, monetary policy makers might choose to lean against such risks and set policy accordingly (Coenen (2007), Saunders (2022) and Mann (2025)).

…including the policy stances that are robust to risks.

Policymakers may also wish to follow an approach that is broadly robust to alternative potential risks, as conveyed by different scenarios. For example, this may entail considering the costs of setting policy optimally as if in one state of the world when the reality is another (Lombardelli (2025)). And establishing which policy approach performs tolerably well across key uncertainties (Williams (2025)).

The number of scenarios that can be considered at any point in time will invariably be limited. It is not possible for scenarios to cover all bases of the discussions held by the MPC, nor to be calibrated to cover the full scope of potential outcomes along any channels that are explored (Adrian et al 2025). And as stylised projections they should only be viewed as indicative of the broad contours that might shift if risks crystallise.

In recent policy rounds, scenario analysis presented to the MPC has been used to test views across the MPC on key policy judgements in the current conjuncture, as well as exploring how policy might react to different outcomes.

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