Miss Sonali Das, Giacomo Magistretti, Evgenia Pugacheva, and Mr. Philippe Wingender
This paper examines the role of sectoral spillovers in propagating sectoral shocks in the broader economy, both in the past and during the COVID-19 pandemic. In particular, we study how shocks that occur within a sector itself and spillovers from shocks to other sectors affect sectoral activity, for a large sample of countries from 1995 to 2014. We find that both supply and demand shocks—measured as changes in, respectively, productivity and government purchases at the sector level—have large spillover effects on sector-level gross value added and on a sector’s share of the economy. We then use these historical estimates, together with the network structure of global production, to quantify the spillovers from the economic shock associated with the pandemic. We find spillover effects to be sizeable, making up a significant fraction of the overall decline in activity in 2020.Our results have implications for the design of policies with a sectoral dimension.
We apply a range of models to the U.K. data to obtain estimates of the output gap. A structural VAR with an appropriate identification strategy provides improved estimates of output gap with better real time properties and lower sensitivity to temporary shocks than the usual filtering techniques. It also produces smaller out-of-sample forecast errors for inflation. At the same time, however, our results suggest caution in basing policy decisions on output gap estimates.
We study the impact of bank credit on firm productivity. We exploit a matched firm-bank database covering all the credit relationships of Italian corporations, together with a natural experiment, to measure idiosyncratic supply-side shocks to credit availability and to estimate a production model augmented with financial frictions. We find that a contraction in credit supply causes a reduction of firm TFP growth and also harms IT-adoption, innovation, exporting, and adoption of superior management practices, while a credit expansion has limited impact. Quantitatively, the credit contraction between 2007 and 2009 accounts for about a quarter of observed the decline in TFP.
The Italian economy has been struggling with low productivity growth and bank balance sheet strains. This paper examines the implications for firm productivity of adverse shocks to bank lending in Italy, using a novel identification scheme and loan-level data on syndicated lending. We exploit the heterogeneous loan exposure of Italian banks to foreign borrowers in distress, and find that a negative shock to bank credit supply reduces firms' loan growth, investment, capital-to-labor ratio, and productivity. The transmission from changes in credit supply to firm productivity relates to labor market rigidities, which delay or distort the adjustment of firms' desired labor and capital allocations, and thereby reduce firms' productivity. Effects are stronger for firms with higher capital intensity and external financial dependence.
Mr. Jaromir Benes, Kevin Clinton, Asish George, Joice John, Mr. Ondrej Kamenik, Mr. Douglas Laxton, Pratik Mitra, G.V. Nadhanael, Hou Wang, and Fan Zhang
India formally adopted flexible inflation targeting (FIT) in June 2016 to place price stability, defined in terms of a target CPI inflation, as the primary objective of monetary policy. In this context, the paper draws on Indian macroeconomic developments since 2000 and the experience of other countries that adopted FIT to bring out insights on how credible policy with an emphasis on a strong nominal anchor can reduce the impact of supply shocks and improve macroeconomic stability. For illustrating the key issues given the unique structural characteristics of India and the policy options under an FIT framework, the paper describes an analytical framework using the core quarterly projection model (QPM). Simulations of the QPM are carried out to illustrate the monetary policy responses under different types of uncertainty and to bring out the importance of gaining credibility for improving monetary policy efficacy.
The perception that Asia's inflation dynamics is driven by idiosyncratic supply shocks implies, as a corollary, that there is little scope for a policy reaction to a build-up of inflationary pressures. However, Asia's fast growth and integration over the last two decades suggest that the drivers of inflation may have changed, and that domestic demand pressures may now play a larger role than in the past. This paper presents a quantitative analysis of inflation dynamics in Asia using a Global VAR (GVAR) model, which explicitly incorporates the role of regional and global spillovers in driving Asia's inflation. Our results suggest that over the past two decades the main drivers of inflation in Asia have been monetary and supply shocks, but also that, in recent years, the contribution of these shocks has fallen, whereas demand-side pressures have started to emerge as an important contributor to inflation in Asia.
This paper examines inflation dynamics in the United States since 1960, with a particular focus on the Great Recession. A puzzle emerges when Phillips curves estimated over 1960-2007 are ussed to predice inflation over 2008-2010: inflation should have fallen by more than it did. We resolve this puzzle with two modifications of the Phillips curve, both suggested by theories of costly price adjustment: we measure core inflation with the median CPI inflation rate, and we allow the slope of the Phillips curve to change with the level and vairance of inflation. We then examine the hypothesis of anchored inflation expectations. We find that expectations have been fully "shock-anchored" since the 1980s, while "level anchoring" has been gradual and partial, but significant. It is not clear whether expectations are sufficiently anchored to prevent deflation over the next few years. Finally, we show that the Great Recession provides fresh evidence against the New Keynesian Phillips curve with rational expectations.
This paper considers optimal communication by monetary policy committees in a model of imperfect knowledge and learning. The main policy implications are that there may be costs to central bank communication if the public is perpetually learning about the committee's decision-making process and policy preferences. When committee members have heterogeneous policy preferences, welfare is greater under majority voting than under consensus decision-making. Furthermore, central bank communication under majority voting is more likely to be beneficial in this case. It is also shown that a chairman with stable policy preferences who carries significant weight in the monetary policy decision-making process is welfare enhancing.
Kevin Clinton, Jihad Dagher, Mr. Ondrej Kamenik, Mr. Douglas Laxton, Ali Alichi, and Marshall Mills
A model in which monetary policy pursues full-fledged inflation targeting adapts well to Ghana. Model features include: endogenous policy credibility; non-linearities in the inflation process; and a policy loss function that aims to minimize the variability of output and the interest rate, as well as deviations of inflation from the long-term low-inflation target. The optimal approach from initial high inflation to the ultimate target is gradual; and transitional inflation-reduction objectives are flexible. Over time, as policy earns credibility, expectations of inflation converge towards the long-run target, the output-inflation variability tradeoff improves, and optimal policy responses to shocks moderate.
This is the second chapter of a forthcoming monograph entitled "On Implementing Full-Fledged Inflation-Targeting Regimes: Saying What You Do and Doing What You Say." We begin by discussing the costs of inflation, including their role in generating boom-bust cycles. Following a general discussion of the need for a nominal anchor, we describe a specific type of monetary anchor, the inflation-targeting regime, and its two key intellectual roots-the absence of long-run trade-offs and the time-inconsistency problem. We conclude by providing a brief introduction to the way in which inflation targeting works.