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Jel Classification:E37 

Working Paper
Online Estimation of DSGE Models

This paper illustrates the usefulness of sequential Monte Carlo (SMC) methods in approximating DSGE model posterior distributions. We show how the tempering schedule can be chosen adaptively, document the accuracy and runtime benefits o fgeneralized data tempering for “online” estimation (that is, re-estimating a model asnew data become available), and provide examples of multimodal posteriors that are well captured by SMC methods. We then use the online estimation of the DSGE model to compute pseudo-out-of-sample density forecasts and study the sensitivity ofthe predictive performance to ...
Finance and Economics Discussion Series , Paper 2020-023

Working Paper
Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions

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 has relied on quantile regression methods to estimate tail risks. In this paper we examine the ability of Bayesian VARs with stochastic volatility to capture tail risks in macroeconomic forecast distributions and outcomes. We consider both a conventional stochastic volatility specification and a specification featuring a common volatility factor that is a function of past financial conditions. Even though the conditional ...
Working Papers , Paper 20-02

Working Paper
Bad Jobs and Low Inflation

The low rate of inflation observed in the U.S. over the entire past decade is hard to reconcile with traditional measures of labor market slack. We show that an alternative notion of slack that encompasses workers' propensity to search on the job explains this missing inflation. We derive this novel concept of slack from a model in which a drop in the on-the-job search rate lowers the intensity of interfirm wage competition to retain or hire workers. The on-the-job search rate can be measured directly from aggregate labor-market flows and is countercyclical. Its recent drop is corroborated by ...
Working Paper Series , Paper WP-2020-09

Working Paper
Finite-Order VAR Representation of Linear Rational Expectations Models: With Some Lessons for Monetary Policy

This paper considers the characterization via finite-order VARs of the solution of a large class of linear rational expectations (LRE) models. I propose a unified approach that uses a companion Sylvester equation to check the existence and uniqueness of a solution to the canonical (first-order) LRE model in finite-order VAR form and a quadratic matrix equation to characterize it decoupling the backward- and forward-looking aspects of the model. I also investigate the fundamentalness of the shocks recovered. Solving LRE models by this procedure is straightforward to implement, general in its ...
Globalization Institute Working Papers , Paper 285

Report
Revisiting useful approaches to data-rich macroeconomic forecasting

This paper analyzes the properties of a number of data-rich methods that are widely used in macroeconomic forecasting, in particular principal components (PC) and Bayesian regressions, as well as a lesser-known alternative, partial least squares (PLS) regression. In the latter method, linear, orthogonal combinations of a large number of predictor variables are constructed such that the covariance between a target variable and these common components is maximized. Existing studies have focused on modelling the target variable as a function of a finite set of unobserved common factors that ...
Staff Reports , Paper 327

Working Paper
Economic Activity by Race

We observe empirical differences between races across various macroeconomic variables for the White, Black, Asian, and Hispanic populations in the U.S. For instance, the Black unemployment rate in the U.S. is more often than not double the White unemployment rate. In this paper, I treat nine macroeconomic variables as noisy indicators of economic activity and estimate an index that measures the economic activity of racial demographic groups in the U.S., called Economic Activity by Race (EAR). The noise of the indicators motivates the use of Kalman filter estimation to extract a common ...
Working Papers , Paper 23-16

Working Paper
Countercyclical Fluctuations in Uncertainty are Endogenous

This paper uses a battery of calibrated and estimated structural models to determine the causal drivers of the negative correlation between output and aggregate uncertainty. We find the transmission of uncertainty shocks to output is weak, while aggregate uncertainty endogenously responds to first moment shocks in the presence of labor market search frictions. This indicates that countercyclical movements in aggregate uncertainty are endogenous responses to changes in output, rather than exogenous impulses. A vector autoregression on simulated data shows recursive identification techniques do ...
Working Papers , Paper 2109

Working Paper
Disentangling rent index differences: data, methods, and scope

Rent measurement determines 32 percent of the CPI. Accurate rent measurement is therefore essential for accurate inflation measurement, but the CPI rent index often differs from alternative measures of rent inflation. Using repeat-rent inflation measures created from CPI microdata, we show that this discrepancy is largely explained by differences in rent growth for new tenants relative to all tenants. New-tenant rent inflation provides information about future all-tenant rent inflation, but the use of new-tenant rents is contraindicated in a cost-of-living index such as the CPI. Nevertheless, ...
Working Papers , Paper 22-38R

Working Paper
Incorporating Short Data into Large Mixed-Frequency VARs for Regional Nowcasting

Interest in regional economic issues coupled with advances in administrative data is driving the creation of new regional economic data. Many of these data series could be useful for nowcasting regional economic activity, but they suffer from a short (albeit constantly expanding) time series which makes incorporating them into nowcasting models problematic. Regional nowcasting is already challenging because the release delay on regional data tends to be greater than that at the national level, and "short" data imply a "ragged edge" at both the beginning and the end of regional data sets, ...
Working Papers , Paper 23-09

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Kiley, Michael T. 16 items

Clark, Todd E. 15 items

Zaman, Saeed 10 items

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Mertens, Elmar 8 items

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