Philip Bunn and Jeremy Rowe
Rising inflation is eroding the spending power of UK households’ incomes. How will they react to that? The answer will make a big difference to the economic outlook. Will they dip into savings and carry on buying the same amount of goods and services, or will they just spend the same and be able to buy less with it? New survey evidence suggests that households intend to do a bit of both with nominal spending increasing by around half of the rise in prices but real consumption also falling. But not all households say they will respond in the same way: households with debts and limited savings to fall back on are less likely to be able to increase spending.
James Barker, David Bholat and Ryland Thomas.
Central bank balance sheets swelled in size in response to the financial crisis of 2007-09. In this blog we discuss what makes them different from the balance sheets of other institutions, how they’ve been used in the past, and how they might evolve in the future as means to implement novel policies – including the revolutionary possibility that a central bank could issue its own digital currency.
Alex Haberis, Richard Harrison and Matt Waldron.
In textbook models of monetary policy, a promise to hold interest rates lower in the future has very powerful effects on economic activity and inflation today. This result relies on: a) a strong link between expected future policy rates and current activity; b) a belief that the policymaker will make good on the promise. We draw on analysis from our Staff Working Paper and show that there is a tension between (a) and (b) that creates a paradox: the stronger the expectations channel, the less likely it is that people will believe the promise in the first place. As a result, forward guidance promises in these models are much less powerful than standard analysis suggests.
In recent years there has been a notable move to lenders charging a daily or monthly fee on overdrafts. Although not technically an interest rate, they are nonetheless a cost of borrowing. And in some cases, may have replaced interest charges entirely. So are customers charged more than the interest-charging overdraft rate alone suggests?
Since 2012, long term rates have fallen and there have been various other policy packages to boost credit availability and lower borrowing costs. But how have these fed through to different types of fixed mortgage rates?
How have falling retail deposit interest rates affected savers’ behaviour? One place to look is the market for fixed-rate bonds, which give a guaranteed interest rate for a set period of time. These rates tend to be higher than instant access accounts, because customers must tie up their deposits to receive the higher rate. Fixed-rate bonds represented around 40% of new time deposits in January 2017. Continue reading
Evidence suggests that small and medium-sized businesses (SMEs) rely more on bank credit than other businesses. So how has their cost of borrowing fared since last year’s Bank Rate cut? And how do their rates compare with overall businesses? Continue reading
Marek Raczko, Mo Wazzi and Wen Yan
Economists view the United Kingdom as a small-open economy. In economists’ jargon it means that the UK is susceptible to foreign shocks, but that UK shocks do not influence other countries. This definitely was not the case in 2016. The result of the EU referendum, even though it was a UK-specific policy event, had a global impact. Our analysis shows that the Brexit vote not only had a significant impact on UK bond and equity markets, but also spilled over significantly to other advanced economies. Moreover, this approach suggests that the initial Brexit-shock has only partially reversed and still remains a drag on global bond yields and equity prices, though there are wide error bands around that conclusion.
Sinem Hacioglu Hoke and Kerem Tuzcuoglu
We economists want to have our cake and eat it. We have far more data series at our disposal now than ever before. But using all of them in regressions would lead to wild “over-fitting” – finding random correlations in the data rather than explaining the true underlying relationships. Researchers using large data sets have historically experienced this dilemma – you can either throw away some of the information and retain clean, interpretable models; or keep most of the information but lose interpretability. This trade-off is particularly frustrating in a policy environment where understanding the identified relationships is crucial. However, in a recent working paper we show how to sidestep this trade-off by estimating a factor model with intuitive results.
Mauricio Armellini and Tim Pike.
This post highlights some of the possible economic implications of the so-called “Fourth Industrial Revolution” — whereby the use of new technologies and artificial intelligence (AI) threatens to transform entire industries and sectors. Some economists have argued that, like past technical change, this will not create large-scale unemployment, as labour gets reallocated. However, many technologists are less optimistic about the employment implications of AI. In this blog post we argue that the potential for simultaneous and rapid disruption, coupled with the breadth of human functions that AI might replicate, may have profound implications for labour markets. We conclude that economists should seriously consider the possibility that millions of people may be at risk of unemployment, should these technologies be widely adopted.