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Author:Matthes, Christian 

Journal Article
The Highs and Lows of Productivity Growth

Productivity growth shows evidence of switching between long periods of high and low average growth. Estimates suggest that the United States has been in the low-growth regime since 2004. Assuming this low growth continues, productivity growth in the year 2025 would be 0.6%. By dropping this assumption and allowing for a switch to consistent higher growth, an alternative estimate forecasts that the distribution of possible productivity growth across quarters could average about 1.1% in 2025.
FRBSF Economic Letter , Volume 2020 , Issue 21 , Pages 5

Working Paper
Monetary Policy across Space and Time

In this paper we ask two questions: (i) is the conduct of monetary policy stable across time and similar across major economies, and (ii) do policy decisions of major central banks have international spillover effects. To address these questions, we build on recent semi-parametric advances in time-varying parameter models that allow us to increase the VAR dimension and to jointly model three advanced economies (US, UK, and the Euro Area). In order to study policy spillovers, we jointly identify three economy-specific monetary policy shocks using a combination of sign and magnitude ...
Working Paper , Paper 18-14

Working Paper
Estimating the Missing Intercept

Cross-sectional data have proven to be increasingly useful for macroeconomic research. However, their use often leads to the 'missing intercept' problem in which aggregate general equilibrium effects and policy responses are absorbed into fixed effects. We present a statistical approach to jointly estimate aggregate and idiosyncratic effects within a panel framework, leveraging identification strategies coming from both cross-sectional or time-series settings. We then apply our methodology to study government spending multipliers (Nakamura and Steinsson, 2014) and wealth effects from stock ...
Working Paper , Paper 25-12

Working Paper
What Do Sectoral Dynamics Tell Us About the Origins of Business Cycles?

We use economic theory to rank the impact of structural shocks across sectors. This ranking helps us to identify the origins of U.S. business cycles. To do this, we introduce a Hierarchical Vector Auto-Regressive model, encompassing aggregate and sectoral variables. We find that shocks whose impact originate in the "demand" side (monetary, household, and government consumption) account for 43 percent more of the variance of U.S. GDP growth at business cycle frequencies than identified shocks originating in the "supply" side (technology and energy). Furthermore, corporate financial shocks, ...
Working Paper , Paper 19-9

Working Paper
Approximating Time Varying Structural Models With Time Invariant Structures

The paper studies how parameter variation affects the decision rules of a DSGE model and structural inference. We provide diagnostics to detect parameter variations and to ascertain whether they are exogenous or endogenous. Identifi cation and inferential distortions when a constant parameter model is incorrectly assumed are examined. Likelihood and VAR-based estimates of the structural dynamics when parameter variations are neglected are compared. Time variations in the financial frictions of Gertler and Karadi's (2010) model are studied.
Working Paper , Paper 15-10

Working Paper
Extreme Weather and the Macroeconomy

Working Paper , Paper 21-14

Working Paper
Choosing Prior Hyperparameters

Bayesian inference is common in models with many parameters, such as large VAR models, models with time-varying parameters, or large DSGE models. A common practice is to focus on prior distributions that themselves depend on relatively few hyperparameters. The choice of these hyperparameters is crucial because their influence is often sizeable for standard sample sizes. In this paper we treat the hyperparameters as part of a hierarchical model and propose a fast, tractable, easy-to-implement, and fully Bayesian approach to estimate those hyperparameters jointly with all other parameters in ...
Working Paper , Paper 16-9

Briefing
How Likely Is a Return to the Zero Lower Bound?

The likelihood of returning to near-zero interest rates is relevant to policymakers in considering the path of future interest rates. At the zero lower bound, the Fed can no longer lower rates and thus can respond to a contraction only through alternative policy measures, such as quantitative easing. Recent research at the Richmond Fed has used repeated simulations of the U.S. economy to estimate the probability of such an occurrence over the next ten years. The estimated probability of returning to the zero lower bound one or more times during this period is approximately one chance in four.
Richmond Fed Economic Brief , Issue September

Working Paper
Tales of Transition Paths: Policy Uncertainty and Random Walks

What happens when fiscal and/or monetary policy changes systematically? We construct a DSGE model in which agents have to estimate fiscal and monetary policy rules and assess how uncertainty surrounding the conduct of policymakers influences transition paths after policy changes. We find that policy changes of the magnitude often considered in the literature can lead private agents to hold substantially different views about the nature of equilibrium than would be predicted by a full information analysis. In particular, random walk-like behavior can be observed for a large number of periods ...
Working Paper , Paper 15-11

Journal Article
Time-Varying Parameter Vector Autoregressions: Specification, Estimation, and an Application

Time-varying parameter vector autoregressions (TVP-VARs) have become a popular tool to study the dynamics of macroeconomic time series. In this article, we discuss the specification and estimation of this class of models with a focus on implementability. We provide a step-by-step guide for researchers interested in utilizing this methodology in their own research. Specifically, we discuss how to use Bayesian Gibbs-sampling techniques to easily conduct inference.
Economic Quarterly , Issue 4Q , Pages 323-352

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