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Jel Classification:C32 

DSGE forecasts of the lost recovery

The years following the Great Recession were challenging for forecasters. Unlike other deep downturns, this recession was not followed by a swift recovery, but generated a sizable and persistent output gap that was not accompanied by deflation as a traditional Phillips curve relationship would have predicted. Moreover, the zero lower bound and unconventional monetary policy generated an unprecedented policy environment. We document the real real-time forecasting performance of the New York Fed dynamic stochastic general equilibrium (DSGE) model during this period and explain the results using ...
Staff Reports , Paper 844

Journal Article
Factor-based prediction of industry-wide bank stress

This article investigates the use of factor-based methods for predicting industry-wide bank stress. Specifically, using the variables detailed in the Federal Reserve Board of Governors? bank stress scenarios, the authors construct a small collection of distinct factors. We then investigate the predictive content of these factors for net charge-offs and net interest margins at the bank industry level. The authors find that the factors do have significant predictive content, both in and out of sample, for net interest margins but significantly less predictive content for net charge-offs. ...
Review , Volume 96 , Issue 2 , Pages 173-194

Working Paper
A Counterfactual Economic Analysis of COVID-19 Using a Threshold Augmented Multi-Country Model

This paper develops a threshold-augmented dynamic multi-country model (TG-VAR) to quantify the macroeconomic effects of COVID-19. We show that there exist threshold effects in the relationship between output growth and excess global volatility at individual country levels in a significant majority of advanced economies and in the case of several emerging markets. We then estimate a more general multi-country model augmented with these threshold effects as well as long-term interest rates, oil prices, exchange rates and equity returns to perform counterfactual analyses. We distinguish common ...
Globalization Institute Working Papers , Paper 402

Working Paper
Estimating the Natural Rate of Interest in an Open Economy

The concept of the natural or equilibrium rate of interest has attracted a lot of attention from monetary policymakers in recent years. Most attempts to estimate the natural rate use a closed economy framework. We argue that in the face of greater integration of global product and capital markets, an open economy framework is more appropriate. We provide some initial estimates of the natural rate for the United States and Japan in a two-country framework. Our identifying assumptions include a close relationship between the time-varying natural rate of interest and the low-frequency ...
Globalization Institute Working Papers , Paper 316

Working Paper
Forecast Combination for Euro Area Inflation - A Cure in Times of Crisis?

The period of extraordinary volatility in euro area headline inflation starting in 2007 raised the question whether forecast combination methods can be used to hedge against bad forecast performance of single models during such periods and provide more robust forecasts. We investigate this issue for forecasts from a range of short-term forecasting models. Our analysis shows that there is considerable variation of the relative performance of the different models over time. To take that into account we suggest employing performance-based forecast combination methods, in particular one with more ...
Finance and Economics Discussion Series , Paper 2016-104

Working Paper
How To Go Viral: A COVID-19 Model with Endogenously Time-Varying Parameters

This paper estimates a panel model with endogenously time-varying parameters for COVID-19 cases and deaths in U.S. states. The functional form for infections incorporates important features of epidemiological models but is flexibly parameterized to capture different trajectories of the pandemic. Daily deaths are modeled as a spike-and-slab regression on lagged cases. The paper's Bayesian estimation reveals that social distancing and testing have significant effects on the parameters. For example, a 10 percentage point increase in the positive test rate is associated with a 2 percentage point ...
Working Paper , Paper 20-10

Robust inference in models identified via heteroskedasticity

Identification via heteroskedasticity exploits differences in variances across regimes to identify parameters in simultaneous equations. I study weak identification in such models, which arises when variances change very little or the variances of multiple shocks change close to proportionally. I show that this causes standard inference to become unreliable, outline two tests to detect weak identification, and establish conditions for the validity of nonconservative methods for robust inference on an empirically relevant subset of the parameter vector. I apply these tools to monetary policy ...
Staff Reports , Paper 876

Working Paper
Designing a simple loss function for the Fed: does the dual mandate make sense?

Variable and high rates of price inflation in the 1970s and 1980s led many countries to delegate the conduct of monetary policy to "instrument-independent" central banks and to give their central banks a clear mandate to pursue price stability and instrument independence to achieve it. Advances in academic research supported a strong focus on price stability as a means to enhance the independence and credibility of monetary policymakers. An overwhelming majority of these central banks also adopted an explicit inflation target to further strengthen credibility and facilitate accountability. ...
Working Papers , Paper 15-3

Working Paper
Tail Forecasting with Multivariate Bayesian Additive Regression Trees

We develop novel multivariate time series models using Bayesian additive regression trees that posit nonlinear relationships among macroeconomic variables, their lags, and possibly the lags of the errors. The variance of the errors can be stable, driven by stochastic volatility (SV), or follow a novel nonparametric specification. Estimation is carried out using scalable Markov chain Monte Carlo estimation algorithms for each specification. We evaluate the real-time density and tail forecasting performance of the various models for a set of US macroeconomic and financial indicators. Our ...
Working Papers , Paper 202108

Working Paper
Asymmetry, Complementarities, and State Dependence in Federal Reserve Forecasts

Forecasts are a central component of policy making; the Federal Reserve''s forecasts are published in a document called the Greenbook. Previous studies of the Greenbook''s inflation forecasts have found them to be rationalizable but asymmetric if considering particular sub-periods, e.g., before and after the Volcker appointment. In these papers, forecasts are analyzed in isolation, assuming policymakers value them independently. We analyze the Greenbook fore- casts in a framework in which the forecast errors are allowed to interact. We find that allowing the losses to interact makes the ...
Working Papers , Paper 2013-012


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