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Working Paper
Nowcasting Tail Risks to Economic Activity with Many Indicators
Clark, Todd E.; Carriero, Andrea; Massimiliano, Marcellino (2020-05-11)
This paper focuses on tail risk nowcasts of economic activity, measured by GDP growth, with a potentially wide array of monthly and weekly information. We consider different models (Bayesian mixed frequency regressions with stochastic volatility, classical and Bayesian quantile regressions, quantile MIDAS regressions) and also different methods for data reduction (either the combination of forecasts from smaller models or forecasts from models that incorporate data reduction). The results show that classical and MIDAS quantile regressions perform very well in-sample but not out-of-sample, ...
Working Papers , Paper 20-13

Job cyclicality provides timely signals on Texas, U.S. business cycle
Kalkunte, Prithvi; Yousuf, Mariam (2025-04-22)
The cyclicality of industries and their behavior provide early indications of economic turning points in Texas and the U.S. and provide a timelier view than other data that are widely used to confirm downturns and expansions.
Dallas Fed Economics

Working Paper
Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions
Clark, Todd E.; Carriero, Andrea; Marcellino, Massimiliano (2020-09-22)
A rapidly growing body of research has examined tail risks in macroeconomic outcomes. Most of this work has focused on the risks of significant declines in GDP, and it has relied on quantile regression methods to estimate tail risks. Although much of this work discusses asymmetries in conditional predictive distributions, the analysis often focuses on evidence of downside risk varying more than upside risk. We note that this pattern in risk estimates over time could obtain with conditional distributions that are symmetric but subject to simultaneous shifts in conditional means (down) and ...
Working Papers , Paper 20-02R

Report
High Frequency Data and a Weekly Economic Index during the Pandemic
Mertens, Karel; Trivedi, Mihir; Lewis, Daniel J.; Stock, James H. (2020-12-01)
This paper describes a weekly economic index (WEI) developed to track the rapid economic developments associated with the onset of and policy response to the novel coronavirus in the United States. The WEI, with its ten component series, tracks the overall economy. Comparing the contributions of the WEI’s components in the 2008 and 2020 recessions reveals differences in how the two events played out at a high frequency. During the 2020 collapse and recovery, it provides a benchmark to interpret similarities and differences of novel indicators with shorter samples and/or nonstationary ...
Staff Reports , Paper 954

Report
Exploiting the monthly data flow in structural forecasting
Reichlin, Lucrezia; Monti, Francesca; Giannone, Domenico (2015-12-01)
This paper develops a framework that allows us to combine the tools provided by structural models for economic interpretation and policy analysis with those of reduced-form models designed for nowcasting. We show how to map a quarterly dynamic stochastic general equilibrium (DSGE) model into a higher frequency (monthly) version that maintains the same economic restrictions. Moreover, we show how to augment the monthly DSGE with auxiliary data that can enhance the analysis and the predictive accuracy in now-casting and forecasting. Our empirical results show that both the monthly version of ...
Staff Reports , Paper 751

Report
Dynamic prediction pools: an investigation of financial frictions and forecasting performance
Del Negro, Marco; Schorfheide, Frank; Hasegawa, Raiden B. (2014-10-01)
We provide a novel methodology for estimating time-varying weights in linear prediction pools, which we call dynamic pools, and use it to investigate the relative forecasting performance of dynamic stochastic general equilibrium (DSGE) models, with and without financial frictions, for output growth and inflation in the period 1992 to 2011. We find strong evidence of time variation in the pool?s weights, reflecting the fact that the DSGE model with financial frictions produces superior forecasts in periods of financial distress but doesn?t perform as well in tranquil periods. The dynamic ...
Staff Reports , Paper 695

Working Paper
The perils of working with Big Data and a SMALL framework you can use to avoid them
Fogarty, Michael; Butters, R. Andrew; Brave, Scott A. (2020-03-02)
The use of “Big Data” to explain fluctuations in the broader economy or guide the business decisions of a firm is now so commonplace that in some instances it has even begun to rival more traditional government statistics and business analytics. Big data sources can very often provide advantages when compared to these more traditional data sources, but with these advantages also comes the potential for pitfalls. We lay out a framework called SMALL that we have developed in order to help interested parties as they navigate the big data minefield. Based on a set of five questions, the SMALL ...
Working Paper Series , Paper WP-2020-35

Discussion Paper
Forecasting the Great Recession: DSGE vs. Blue Chip
Del Negro, Marco; Schorfheide, Frank; Herbst, Daniel (2012-04-16)
Dynamic stochastic general equilibrium (DSGE) models have been trashed, bashed, and abused during the Great Recession and after. One of the many reasons for the bashing was the models’ alleged inability to forecast the recession itself. Oddly enough, there’s little evidence on the forecasting performance of DSGE models during this turbulent period. In the paper “DSGE Model-Based Forecasting,” prepared for Elsevier’s Handbook of Economic Forecasting, two of us (Del Negro and Schorfheide), with the help of the third (Herbst), provide some of this evidence. This post shares some of our ...
Liberty Street Economics , Paper 20120416

Working Paper
How Persistent Are Unconventional Monetary Policy Effects?
Neely, Christopher J. (2020-11-08)
This paper argues that one cannot precisely estimate the persistence of unconventional monetary policy (UMP) effects, especially with short samples and few observations. To make this point, we illustrate that the most influential model on the topic exhibits structural instability, and sensitivity to specification and outliers that render the conclusions unreliable. Restricted models that respect more plausible asset return predictability are more stable and imply that UMP shocks were persistent. Estimates of the dynamic effects of shocks should respect the limited predictability in asset ...
Working Papers , Paper 2014-04

Discussion Paper
An Update on the Health of the U.S. Consumer
Haughwout, Andrew F.; Lee, Donghoon; Mangrum, Daniel; McCarthy, Jonathan; Melcangi, Davide; Scally, Joelle; Van der Klaauw, Wilbert (2023-10-18)
The strength of consumer spending so far this year has surprised most private forecasters. In this post, we examine the factors behind this strength and the implications for consumption in the coming quarters. First, we revisit the measurement of “excess savings” that households have accumulated since 2020, finding that the estimates of remaining excess savings are very sensitive to assumptions about measurement, estimation period, and trend type, which renders them less useful. We thus broaden the discussion to other aspects of the household balance sheet. Using data from the New York ...
Liberty Street Economics , Paper 20231018a

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