The impact of the COVID-19 pandemic on business expectations

We document and evaluate how businesses are reacting to the COVID-19 crisis through August 2020. First, on net, firms see the shock (thus far) largely as a demand rather than supply shock. A greater share of firms report significant or severe disruptions to sales activity than to supply chains. We compare these measures of disruption to their expected changes in selling prices and find that, even for firms that report supply chain disruptions, they expect to lower near-term selling prices on average. We also show that firms are engaging in wage cuts and expect to trim wages further before the end of 2020. These cuts stem from firms that have been disproportionally negatively impacted by the pandemic. Second, firms (like professional forecasters) have responded to the COVID-19 pandemic by lowering their one-year-ahead inflation expectations. These responses stand in stark contrast to that of household inflation expectations (as measured by the University of Michigan or the New York Fed). Indeed, firms’ one-year-ahead inflation expectations fell precipitously (to a series low) following the onset of the pandemic, while household measures of inflation expectations jumped markedly. Third, despite the dramatic decline in firms’ near-term inflation expectations, their longer-run inflation expectations have remained relatively stable.     

The effects of oil price shocks on inflation in the G7 countries

This study examines the effects of three types of oil price shocks on inflation in the G7 countries with a new method of isolating oil price shocks. Based on monthly data from January 1997 to January 2019, we find that each oil price shock has the largest effect on U.S. inflation among the G7 countries and each country’s response to oil price shocks is different. Moreover, a rolling-window analysis shows that supply shocks, demand shocks and risk shocks have dynamic effects on inflation. The effect of supply shocks on inflation is strong before the financial crisis, but weakens during the crisis. However, the effect of demand shocks increases sharply in this time. The effect of risk shocks mainly occurs during the financial crisis and the European debt crisis. In addition, this study uses two ways to verify the robustness of the results. Our empirical results have important implications for policymakers and manufacturers, since the results provide a good explanation for the response of inflation in the G7 countries to the oil price shocks from different sources.     

On the determinants of long-run inflation uncertainty: Evidence from a panel of 17 developed economies

Based on a cross section of 17 advanced economies and data for the period 1975 to 2015, we examine how the interaction between monetary policy and macroeconomic conditions affects inflation uncertainty in the long-term. We construct a proxy for the unobservable inflation uncertainty based on the slowly evolving long-term variance component of inflation from a Spline-GARCH model (Engle and Rangel, 2008). We show that long-run inflation uncertainty is high if an inflation-tolerant central bank governor is in power during a period of high inflation, if the policy rate is below the one that is prescribed by the Taylor rule and during times of heightened stock and exchange rate volatility.     

Forecasting and forecast narratives: The Bank of England Inflation Reports

We analyze the narratives that accompany the numerical forecasts in the Bank of England’s Quarterly Inflation Reports, 1997–2018. We focus on whether the narratives contain useful information about the future course of key macro variables over and above the point predictions, in terms of whether the narratives can be used to enhance the accuracy of the numerical forecasts. We also consider whether the narratives are able to predict future changes in the numerical forecasts. We find that a measure of sentiment derived from the narratives can predict the errors in the numerical forecasts of output growth, but not of inflation. We find no evidence that past changes in sentiment predict subsequent changes in the point forecasts of output growth or of inflation, but do find that the adjustments to the numerical output growth forecasts have a systematic element.     

Forecasting using heterogeneous panels with cross-sectional dependence

In this paper, we focus on forecasting methods that use heterogeneous panels in the presence of cross-sectional dependence in terms of both spatial error dependence and common factors. We propose two main approaches to estimating the factor structure: a residuals-based approach, and an approach that uses a panel of auxiliary variables to extract the factors. Small sample properties of the proposed methods are investigated through Monte Carlo simulations and applied to predict house price inflation in OECD countries.     

Inflation,real economic growth and unemployment expectations: an empirical analysis based on the ECB survey of professional forecasters

Expectations are at the centre of modern macroeconomic theory and policymakers. In this article, we examine the predictive ability and the consistency properties of macroeconomic expectations using data of the European Central Bank (ECB) Survey of Professional Forecasters (SPF). In particular, we provide evidence on the properties of forecasts for three key macroeconomic variables: the inflation rate, the growth rate of real gross domestic product and the unemployment rate.     

Population ageing and inflation with endogenous money creation

This paper models a mechanism through which population ageing may induce a deflationary process. We propose an overlapping-generations model (OLG) with money created by credits (inside money) and intergenerational trade. The model links demographic factors, such as fertility rates and longevity, to prices. We show that lower fertility rates lead to smaller demand for credit and lower money creation, which in turn cause a decline in prices. Changes in longevity affect prices through real savings and the capital market. Furthermore, a few links between interest rates and inflation are addressed; they arise in the general equilibrium and are not thoroughly discussed in literature. Long-run results are derived analytically; short-run dynamics are simulated numerically.     

Do currency undervaluations affect the impact of inflation on growth?

In this paper, we investigate how the level of currency undervaluations affects the effect of inflation on growth in a sample of 62 countries over the 1980–2015 period. While previous studies find a positive effect of an undervalued currency, we show that higher currency undervaluations reinforce the contractionary effect of inflation on growth. As an undervalued currency is associated with supplementary inflation pressures arising from a cost-push inflation phenomenon and economy overheating, growth is thus penalized. This result is shown to be robust to the exclusion of currency crises episodes from our sample, and dependent of the development level of countries. Specifically, it holds in the case of emerging countries, but not for developing economies. Consequently, policies based on undervaluations should not be encouraged for emerging economies as they tend to reinforce the contractionary effect of inflation on growth.     

Progressive taxation and human capital as determinants of inflation persistence

In this study, we introduce progressive taxation and human capital differences across productive sectors into a typical monetary policy game. The objective of this work is to reveal the potential short-run effects of these two typical features of economic growth on inflation dynamics. In our framework, such features act as frictions of labor mobility across sectors. We show that an increased progressivity of taxation lowers the diffusion of shocks, and in turn increases inflation persistence. Moreover, the dispersion of human capital across sectors acts as a barrier to labor mobility and thereby increasing inflation inertia through the same channel. We also empirically verify these findings by employing panel data analysis in a sample of 28 OECD countries.     

A test for inflation persistence in Nigeria using fractional integration & fractional cointegration techniques

This study seeks to test for inflation persistence in Nigeria using the recently developed fractional cointegration VAR model by Johansen and Nielsen (2012) and complemented with univariate fractional integration techniques. The empirical results suggest evidence of high inflation persistence in Nigeria albeit with a lower trend after the global financial crisis. Also, the major classes of inflation – headline, core and food inflation rates, share long run properties regardless of the sample used. This suggests that any policy action directed at a particular class of inflation will have a spill-over effect on the other classes given the strong association among them. The ability to also exploit the fractional cointegration in a multivariate set-up when modeling inflation is a major contribution of this study and ignoring same may lead to wrong conclusions. However, the results are sensitive to the choice of data frequency.