Will Holman and Tim Pike
Firms are increasingly investing in automation, substituting capital for labour, as workers become more scarce and costly. We are seeing multiple examples, from automation in food processing to increasingly-common self-service tills. This push for productivity growth is one of the key themes from our meetings with businesses in the past year, which we think suggests a reversal of a decade-long trend.
Ben Dyson and Jack Meaning
A “Central Bank Digital Currency” (CBDC) may sound like it’s from the future, but it’s something that many central banks are researching today, including those in Sweden, Canada, Denmark, China, and the European Central Bank and Bank of International Settlements (BIS). In a new working paper, we set aside questions about the technological, regulatory and legal aspects of central bank digital currency, and instead explore the underlying economics. Could the existence of a CBDC make it easier or harder for central banks to guide the economy through monetary policy? And could the existence of CBDC make the monetary transmission mechanism (MTM) faster or slower, stronger or weaker?
The Phillips Curve (PC) is an old concept in economics, but it is a durable one. The simple idea behind the PC is that the lower the rate of unemployment, the faster wages will grow. If the PC has changed over time, that can have important implications for monetary policymakers. Analysis of regional UK data suggests that the PC has shifted down over time, but has not necessarily become flatter. Higher levels of educational attainment are likely to have contributed to this shift.
Calebe de Roure, Ben Morley and Lena Boneva
In August 2016 the MPC announced a package of easing measures, including the Corporate Bond Purchase Scheme (CBPS). In a recent staff working paper, we explore the announcement impact of the CBPS, using the so called “difference in differences” (or “DID”) approach. Overall – to deliver the punchline to eager readers – this analytical technique suggests that the announcement caused spreads on CBPS eligible bonds to tighten by 13bps, compared with comparable euro or dollar denominated bonds (Charts 1b, 2). Continue reading
Philip Bunn, Alice Pugh and Chris Yeates
Following the onset of the financial crisis, the Monetary Policy Committee (MPC) cut interest rates to historically low levels and launched a programme of quantitative easing (QE) to support the UK economy. How did this exceptional period of monetary policy affect different households in the UK? Did it increase or decrease inequality? Although existing differences in income and wealth means that the impact in cash terms varied substantially between households, in a recent staff working paper we find that monetary policy had very little impact on relative measures of inequality. Compared to what would have otherwise happened, younger households are estimated to have benefited most from higher income in cash terms, while older households gained more from higher wealth.
In the first age of financial globalisation, from around 1880 to 1913, many countries tied their currencies to the mast of gold. The Bank of England’s unparalleled influence over this period is depicted by the Lady of the Bank, seated on the globe with a shower of gold coins to one side, which is carved into the Bank’s pediment. There was an old saying in the City that the Bank’s rate could draw gold from the moon. But could it?
Aakash Mankodi and Tim Pike
Tetlock and Gardner’s acclaimed work on Superforecasting provides a compelling case for seeing forecasting as a skill that can be improved, and one that is related to the behavioural traits of the forecaster. These so-called Superforecasters have in recent years been pitted against experts ranging from U.S intelligence analysts to participants in the World Economic Forum, and have performed on par or better by accurately predicting the outcomes of a broad range of questions. Sounds like music to a central banker’s ears? In this post, we examine the traits of these individuals, compare them with economic forecasting and draw some related lessons. We conclude that considering the principles and applications of Superforecasting can enhance the work of central bank forecasting.
Oliver Brenman, Frank Eich, and Jumana Saleheen
The conventional wisdom amongst financial market observers, academics, and journalists is that a steeper yield curve should be good news for bank profitability. The argument goes that because banks borrow short and lend long, a steeper yield curve would raise the wedge between rates paid on liabilities and received on assets – the so-called “net interest margin” (or NIM). In this post, we present cross-country evidence that challenges this view. Our results suggest that it is the level of long-term interest rates, rather than the slope of the yield curve, that drives banks’ NIMs.
Ben Bernanke famously remarked that “the trouble with QE is that it works in practice but not in theory”. And ahead of its adoption, many academics were sceptical that QE would have any effects at all. Yet despite QE being a part of the monetary policy landscape for nearly a decade, the bulk of academic research on QE has been on its empirical effect, with relatively little on theory and less still on normative policy questions. In a recent Staff Working Paper I develop a model which can provide answers to questions such as: “How should monetary policymakers return their instruments to more normal levels?” and “Should QE be part of the regular monetary policy toolkit?”
Chiranjit Chakraborty and Andreas Joseph
Rapid advances in analytical modelling and information processing capabilities, particularly in machine learning (ML) and artificial intelligence (AI), combined with ever more granular data are currently transforming many aspects of everyday life and work. In this blog post we give a brief overview of basic concepts of ML and potential applications at central banks based on our research. We demonstrate how an artificial neural network (NN) can be used for inflation forecasting which lies at the heart of modern central banking. We show how its structure can help to understand model reactions. The NN generally outperforms more conventional models. However, it struggles to cope with the unseen post-crises situation which highlights the care needed when considering new modelling approaches.