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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

Working Paper
Assessing Macroeconomic Tail Risks in a Data-Rich Environment
Cook, Thomas R.; Doh, Taeyoung (2019-11-20)
We use a large set of economic and financial indicators to assess tail risks of the three macroeconomic variables: real GDP, unemployment, and inflation. When applied to U.S. data, we find evidence that a dense model using principal components (PC) as predictors might be misspecified by imposing the “common slope” assumption on the set of predictors across multiple quantiles. The common slope assumption ignores the heterogeneous informativeness of individual predictors on different quantiles. However, the parsimony of the PC-based approach improves the accuracy of out-of-sample forecasts ...
Research Working Paper , Paper RWP 19-12

Working Paper
Complementarity and Macroeconomic Uncertainty
Plante, Michael D.; Atkinson, Tyler; Throckmorton, Nathaniel A.; Richter, Alexander W. (2020-03-31)
Macroeconomic uncertainty—the conditional volatility of the unforecastable component of a future value of a time series—shows considerable variation in the data. A typical assumption in business cycle models is that production is Cobb-Douglas. Under that assumption, this paper shows there is usually little, if any, endogenous variation in output uncertainty, and first moment shocks have similar effects in all states of the economy. When the model departs from Cobb-Douglas production and assumes capital and labor are gross complements, first-moment shocks have state-dependent effects and ...
Working Papers , Paper 2009

Working Paper
News-driven uncertainty fluctuations
Song, Dongho; Tang, Jenny (2018-01-01)
We embed a news shock, a noisy indicator of the future state, in a two-state Markov-switching growth model. Our framework, combined with parameter learning, features rich history-dependent uncertainty dynamics. We show that bad news that arrives during a prolonged economic boom can trigger a ?Minsky moment??a sudden collapse in asset values. The effect is greatly amplified when agents have a preference for early resolution of uncertainty. We leverage survey recession probability forecasts to solve a sequential learning problem and estimate the full posterior distribution of model primitives. ...
Working Papers , Paper 18-3

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

Working Paper
Job-to-Job Mobility and Inflation
Faccini, Renato; Melosi, Leonardo (2023-01-19)
The low rate of inflation observed in the U.S. over the past decade is hard to reconcile with traditional measures of labor market slack. We develop a theory-based indicator of interfirm wage competition that can explain the missing inflation. Key to this result is a drop in the rate of on-the-job search, which lowers the intensity of interfirm wage competition to retain or hire workers. We estimate the on-the-job search rate from aggregate labor-market flows and show that its recent drop is corroborated by survey data. During "the great resignation", the indicator of interfirm wage ...
Working Paper Series , Paper WP 2023-03

Discussion Paper
Assessing monetary accommodation: a simple empirical model of monetary policy and its implications for unemployment and inflation
Armen, Alan; Koenig, Evan F. (2015-12)
This note suggests that household wealth growth and a long-forward interest rate can be used to construct a simple and convenient reference standard for assessing the current stance of monetary policy. It shows that the difference between the federal funds rate and this reference interest rate is a powerful predictor of the unemployment rate and inflation, producing real-time forecasts that are competitive with consensus-based forecasts from surveys of forecasting professionals. Moreover, one can understand past FOMC policy actions as efforts to adjust the stance of policy, so measured, in ...
Staff Papers , Issue Dec

Working Paper
Inflation and Deflationary Biases in Inflation Expectations
Lamla, Michael J.; Pfajfar, Damjan; Rendell, Lea (2019-06-03)
We explore the consequences of losing confidence in the price-stability objective of central banks by quantifying the inflation and deflationary biases in inflation expectations. In a model with an occasionally binding zero-lower-bound constraint, we show that an inflation bias as well as a deflationary bias exist as a steady-state outcome. We assess the predictions of this model using unique individual-level inflation expectations data across nine countries that allow for a direct identification of these biases. Both inflation and deflationary biases are present (and sizable) in inflation ...
Finance and Economics Discussion Series , Paper 2019-042

Working Paper
The Factor Structure of Disagreement
Herbst, Edward P.; Winkler, Fabian (2021-07-30)
We estimate a Bayesian three-dimensional dynamic factor model on the individual forecasts in the Survey of Professional Forecasters. The factors extract the most important dimensions along which disagreement comoves across variables. We interpret our results through a general semi-structural dispersed information model. The two most important factors in the data describe disagreement about aggregate supply and demand, respectively. Up until the Great Moderation, supply disagreement was dominant, while in recent decades and particularly during the Great Recession, demand disagreement was most ...
Finance and Economics Discussion Series , Paper 2021-046

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