Monetary Policy and Asset Price Gap Signal Technology in a New Keynesian Framework

This article develops a New Keynesian model in which the inflation rate depends on the present value of future output gaps and asset prices gaps. The latter follows a price adjustment process. These asset price gaps are driven by ‛asset price gap signal technology’, a measure of exponentially distributed asset price gaps with a signalling mechanism. Within a dynamic stochastic optimisation approach, I identify a policy rule for the central bank in which the asset price gap the difference between the actual asset price at time t to its fundamental value plays a crucial role in determining the nominal rate of interest.

Inflation puzzles, the Phillips Curve and output expectations: new perspectives from the Euro Zone

Confidence in the Phillips Curve (PC) as predictor of inflation developments along the business cycle has been shaken by recent “inflation puzzles” in advanced countries, such as the “missing disinflation” in the aftermath of the Great Recession and the “missing inflation” in the years of recovery, to which the Euro-Zone “excess deflation” during the post-crisis depression may be added. This paper proposes a newly specified Phillips Curve model, in which expected inflation, instead of being treated as an exogenous explanatory variable of actual inflation, is endogenized. The idea is simply that if the PC is used to foresee inflation, then its expectational component should in some way be the result of agents using the PC itself. As a consequence, the truly independent explanatory variables of inflation turn out to be the output gaps and the related forecast errors by agents, with notable empirical consequences. The model is tested with the Euro-Zone data 1999–2019 showing that it may provide a consistent explanation of the “inflation puzzles” by disentangling the structural component from the expectational effects of the PC.

The Updated Okun Method for Estimation of Potential Output with Broad Measures of Labor Underutilization: An Empirical Analysis

This paper extends to different indicators of labor underutilization the Updated Okun Method (UOM) for estimation of potential output proposed in Fontanari et al (2020), which, from a demand-led growth perspective, regards potential output as an empirical approximation to full-employment output, as in A.M.Okun’s (1962) original method. Based on the apparent incapability of the official rate of unemployment to fully account for labor underutilization, in this paper we offer estimates of Okun’s law both with broad unemployment indicators and with an indicator of ‘standardized hours worked’ which we propose as a novel measure of the labor input. The paper reflects on the possible different empirical measures of full employment. The various measures of potential output that we extract from our analysis show greater output gaps than those produced by standard methods, thus highlighting a systematic tendency of the latter to underestimate potential output. Output gaps that underestimate the size of the output loss or that tend to close too soon during recovery, may produce a bias towards untimely restriction.

Monetary Policy Dynamics in the United States

The recognised approach to designing an optimal monetary policy model is based on the central bank’s ability to mitigate losses using a quadratic criterion subject to the linear structure of the economy. This study examines the United States Federal Reserve’s (Fed) monetary policy in different economic environments. It provides an empirical solution to the central bank’s optimisation problem when preferences are asymmetric in both in˛ation and output gaps. The study tested for structural breaks and uncovered potential evidence of nonlinearities in the Fed’s reaction function, which provides more information on policy objective. The empirical evidence suggests that the Fed’s policy rate differs in these periods. This strongly indicates the presence of asymmetry. Further evidence suggests that the predictive power of the estimated model increases when a smoothing process is allowed.

Which Output Gap Estimates Are Stable in Real Time and Why?

Output gaps that are estimated in real time can differ substantially from those estimated after the fact. We aim to understand the real-time instability of output gap estimates by comparing a suite of reduced-form models. We propose a new statistical decomposition and find that including a Okun’s law relationship improves real-time stability by alleviating the end-point problem. Models that include the unemployment rate also produce output gaps with relevant economic content. However, we find that no model of the output gap is clearly superior to the others along each metric we consider.

Nominal Effects of Changes in Total Factor Productivity: Evidence for an Emerging Economy

Although there is a considerable amount of literature on applied Phillips Curves and Total Factor Productivity (TFP) for Brazil, the related works have not empirically addressed the effects of the latter on consumer inflation. Thus, our work provided evidence to bridge this gap. Through estimates from different New Keynesian Phillips Curves, and including TFP measures, we found robust impacts of productivity gains on the inflation rate of the Brazilian economy, suggesting an improvement of the trade-off between inflation and unemployment. Furthermore, we found strong evidence indicating that unemployment rate deviations are a better proxy for economic activity, when compared with output gaps, as a way to estimate New Keynesian Phillips curves.

What Do We Talk About When We Talk About Output Gaps?

Estimates of output gaps continue to play a key role in assessments of the stance of business cycles. This paper uses three approaches to examine the historical record of output gap measurements and their use in surveillance within the IMF. Firstly, the historical record of global output gap estimates shows a firm negative skew, in line with previous regional studies, as well as frequent historical revisions to output gap estimates. Secondly, when looking at the co-movement of output gap estimates and realized measures of slack, a positive, but limited, association is found between the two. Thirdly, text analysis techniques are deployed to assess how estimates of output gaps are used in Fund surveillance. The results reveal no strong bearing of output gap estimates on the coverage of the concept or direction of policy advice. The results suggest the need for continued caution in relying on output gaps for real-time policymaking and policy assessment.

Banking Crises Without Panics*

We examine historical banking crises through the lens of bank equity declines, which cover a broad sample of episodes of banking distress with and without banking panics. To do this, we construct a new data set on bank equity returns and narrative information on banking panics for 46 countries over the period of 1870 to 2016. We find that even in the absence of panics, large bank equity declines are associated with substantial credit contractions and output gaps. Although panics are an important amplification mechanism, our results indicate that panics are not necessary for banking crises to have severe economic consequences. Furthermore, panics tend to be preceded by large bank equity declines, suggesting that panics are the result, rather than the cause, of earlier bank losses. We use bank equity returns to uncover a number of forgotten historical banking crises and create a banking crisis chronology that distinguishes between bank equity losses and panics.

Can key interest rates decrease output gaps?

The difference in the GDP levels is crucial for the macroeconomic forecasting to develop adequate and supportive fiscal and monetary policies. Most mismeasurements under current geoeconomics challenges can be explained by the difficulty in predicting recessions and the overestimation of the economy’s potential capacity. The research aims to consider the GDP gap’s effectiveness for the possible forecasting of the monetary policy, particularly the central bank’s interest rate. The study uses quantitative methods, particularly VAR modeling. The VAR model is chosen as a proven useful tool for describing the dynamic behavior of economic time series and forecasting. The data sample is chosen as Eurozone, the United States, and Japan. The similarity is detected on output gaps implementation in the considered states; however, the variety in the responses to the financial crisis is revealed. This difference is due to the different sensitivity of economies on the impact of monetary instruments. In particular, the Japanese economy has a relatively low level of sensitivity to changes in monetary instruments. In terms of the reactions of central banks to the current economic crisis caused by COVID-19, then due to the global lockdown and the incredible decline in economic activity, almost all countries are in a situation of negative GDP gap according the paper’s approach. However, the measures to mitigate it will vary in different states. AcknowledgmentThe paper is done in the framework of scientific faculty research 16КF040-04 “Steady-state security assessment: a new framework for analysis” (2016–2021), Taras Shevchenko National University of Kyiv (Ukraine).