Data Quality Challenges Heighten Central Bank Risks Across Developed Markets
Trigger warning: this article contains the greatest puns you'll ever read on this website. Oh, and James Smith's look at the week ahead...

Trigger warning: this article contains the greatest puns you'll ever read on this website. Oh, and James Smith's look at the week ahead...

So there’s this band called Oasis that's on their comeback tour in the UK right now. You might have heard of them. Mainly because UK economists have spent all summer riffing off their lyrics…
But despite all the puns – and promise of a big Oasis-effect on UK inflation – July’s tour dates saw hotel prices surge by… 0.3%. Not exactly a champagne supernova in the CPI... (see I told you it was good!)
So we economists have a new thing to blame… I mean... cite, in our rigorous analysis of forthcoming data points. And fortunately, we don’t have to look very far: data quality issues.
Take the UK, where this week’s retail sales release was pulled because of dodgy numbers. It joins the Labour Force Survey and producer prices in a not-very-exclusive club of data plagued by quality issues.
Time will tell what the latest issue was. But life has got harder for stats agencies around the world – and not just because of funding issues or political pressure. Survey response rates are falling, making key numbers like US non-farm payrolls sketchier. And meet seasonal adjustment – she’s econometric – and an attempt to make data comparable across different times of year, a task made harder by the immense volatility of the pandemic.
There's also the tricky job of filling gaps in the data. Remember that a lot – maybe all – of the US employment gains right now can be traced back to the so-called “birth-death model”, an entirely made-up guesstimate of small business hiring used until more accurate census data comes along. And when it does, that likely means big downward revisions.
Then, more recently, high inflation – and the growing tendency of firms to make big price increases in the first few months of the year – have made it harder to deflate the data. I’ve written before that I think this has distorted UK GDP, where the first half of the year is artificially stronger than the second. That’s surely the next dataset to go under the microscope…
Whatever the reasons, the problem is getting worse, not better. So central banks have just got to (pay)roll with it – and here are five ways they’re likely to react:
First, they're more likely to disagree with one another. And we’re already seeing it. The Bank of England’s August decision failed to reach an initial verdict for the first time ever. The Fed’s July meeting had two governors dissent against the majority verdict, which hasn’t happened for decades. Put simply, data quality – and the volatility it fosters – means more than ever, it’s possible to reach a range of different interpretations from the same set of numbers.
Second, central banks are going to be more reluctant to pre-commit to anything in advance. Admittedly, that’s been true for a while, after officials at both the Fed and, more notably, the ECB, were often forced to go back on their word when inflation took off in 2022.
Third, officials are more likely to focus on surveys. Some might sway, like this week’s Purchasing Managers' Indices in Europe, which hint that the continent’s manufacturing sector is looking brighter. Half the world away, polls show the US jobs market is souring. The closely watched ISM services index shows weaker hiring, while surveys tell us consumers are noticing the cooling jobs backdrop.
By contrast, the hiring surveys here in Britain – having soured ahead of April’s big tax hikes – have started to turn up, hinting that the consistent fall in payroll numbers we’ve seen this year shouldn’t get more dramatic.
Fourth – and this is perhaps more debatable – is whether central bankers are more likely to discount what the jobs data is telling them, which could amplify the asymmetric focus they’re placing on inflation right now. These numbers are generally immune to the quality issues I’ve discussed here.
Next week’s core PCE deflator inflation figures are going to be key, particularly given this week’s Fed minutes revealed that officials think we’re still to see the full effects of tariffs.
Finally, and most importantly, dodgy data means central banks are more likely to be wrong.
If the data officials are looking at is more frequently wrong – or prone to heavy future revisions – the risk of a policy mistake is undoubtedly higher. UK GDP figures released at the time of the financial crisis, for instance, bear little resemblance to the revised numbers we have for the period now.
It’s not the only reason central banks risk ending up behind the curve. I’m a broken record on how fixed-rate lending is slowing down the transmission of rate cuts to the wider economy. And it’s partly why we’re expecting more aggressive easing from the Fed this year. My colleague James Knightley is pencilling three cuts for the remainder of 2025.
Anyway, I’m outta time for this week. Let’s just hope the central banks aren’t too…


United States (James Knightley):
Eurozone (Bert Colijn)
Poland (Adam Antoniak)
Hungary (Peter Virovacz)
Czech Republic (David Havrlant)
Kazakhstan (Dmitry Dolgin)

