Beyond the average: patterns in UK price data at the micro level

Lennart Brandt, Natalie Burr and Krisztian Gado

The Bank of England has a 2% annual inflation rate target in the ONS’ consumer prices index. But looking at its 700 item categories, we find that very few prices ever change by 2%. In fact, on a month-on-month basis, only about one fifth of prices change at all. Instead, we observe what economists call ‘sticky prices’: the price of an item will remain fixed for an extended amount of time and then adjust in one large step. We document the time-varying nature of stickiness by looking at the share of price changes and their distribution in the UK microdata. We find a visible discontinuity in price-setting in the first quarter of 2022, which has only partially unwound.

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Can data science capture key insights in news articles?

Itua Etiobhio, Riyad Khan and Steve Blaxland

The volume of information available to supervisors from public sources has grown enormously over the past few years, including unstructured text data from traditional news outlets, news aggregators, and social media. This presents an opportunity to leverage the power of data science techniques to gain valuable insights. By utilising sophisticated analytical tools, can supervisors identify hidden patterns, detect emerging events and gauge public sentiment to better understand risks to the safety and soundness of banks and insurance firms? This article explores how data science could support central bank supervisors to discover significant events, capture public trends and ultimately enable more effective supervision.

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