Search Results

(refine search)

SORT BY: PREVIOUS / NEXT

All:
Title:
Author:
Abstract:
Keywords:

+ Add Search Parameter

Report
Inflation in the Great Recession and New Keynesian models
Giannoni, Marc; Del Negro, Marco; Schorfheide, Frank (2013)
It has been argued that existing DSGE models cannot properly account for the evolution of key macroeconomic variables during and following the recent great recession. We challenge this argument by showing that a standard DSGE model with financial frictions available prior to the recent crisis successfully predicts a sharp contraction in economic activity along with a modest and protracted decline in inflation following the rise in financial stress in the fourth quarter of 2008. The model does so even though inflation remains very dependent on the evolution of economic activity and of monetary ...
Staff Reports , Paper 618

Working Paper
Inflation Expectations with Finite Horizon Planning
Gust, Christopher J.; Herbst, Edward P.; López-Salido, J. David (2024-08-09)
Under finite horizon planning, households and firms evaluate a full set of state-contingent paths along which the economy might evolve out to a finite horizon but have limited ability to process events beyond that horizon. We show--analytically and empirically--that such a model accounts for an initial underreaction and subsequent overreaction of inflation forecasts. A planning horizon of four quarters can account for the evidence on the predictability of inflation forecast errors and macroeconomic data. Our identification and estimation strategies combine full-information methods based ...
Finance and Economics Discussion Series , Paper 2024-063

Working Paper
The Role of News about TFP in U.S. Recessions and Booms
Faccini, Renato; Melosi, Leonardo (2018-04-15)
We develop a general equilibrium model to study the historical contribution of TFP news to the U.S. business cycle. Hiring frictions provide incentives for firms to start hiring ahead of an anticipated improvement in technology. For plausibly calibrated hiring costs, employment gradually rises in response to positive TFP news shocks even under standard preferences. TFP news shocks are identified mainly by current and expected unemployment rates since periods in which average unemployment is relatively high (low) are also periods in which average TFP growth is slow (fast). We work out the ...
Working Paper Series , Paper WP-2018-6

Working Paper
The St. Louis Fed DSGE Model
Faria-e-Castro, Miguel (2024-12-10)
This document contains a technical description of the dynamic stochastic general equilibrium (DSGE) model developed and maintained by the Research Division of the St. Louis Fed as one of its tools for forecasting and policy analysis. The St. Louis Fed model departs from an otherwise standard medium-scale New Keynesian DSGE model along two main dimensions: first, it allows for household heterogeneity, in the form of workers and capitalists, who have different marginal propensities to consume (MPC). Second, it explicitly models a fiscal sector endowed with multiple spending and revenue ...
Working Papers , Paper 2024-014

Working Paper
Uncertainty Shocks, Monetary Policy and Long-Term Interest Rates
Tristani, Oreste; Amisano, Gianni (2019-04-11)
We study the relationship between monetary policy and long-term rates in a structural, general equilibrium model estimated on both macro and yields data from the United States. Regime shifts in the conditional variance of productivity shocks, or "uncertainty shocks", are an important model ingredient. First, they account for countercyclical movements in risk premia. Second, they induce changes in the demand for precautionary saving, which affects expected future real rates. Through changes in both risk-premia and expected future real rates, uncertainty shocks account for about 1/2 of the ...
Finance and Economics Discussion Series , Paper 2019-024

Working Paper
Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Oﬀs
Arias, Jonas E.; Fernández-Villaverde, Jesús; Rubio-Ramirez, Juan F.; Shin, Minchul (2021-05-06)
We present a general framework for Bayesian estimation and causality assessment in epidemiological models. The key to our approach is the use of sequential Monte Carlo methods to evaluate the likelihood of a generic epidemiological model. Once we have the likelihood, we specify priors and rely on a Markov chain Monte Carlo to sample from the posterior distribution. We show how to use the posterior simulation outputs as inputs for exercises in causality assessment. We apply our approach to Belgian data for the COVID-19 epidemic during 2020. Our estimated time-varying-parameters SIRD model ...
Working Papers , Paper 21-18

Working Paper
Capital-Task Complementarity and the Decline of the U.S. Labor Share of Income
Orak, Musa (2017-03)
This paper provides evidence that shifts in the occupational composition of the U.S. workforce are the most important factor explaining the trend decline in the labor share over the past four decades. Estimates suggest that while there is unitary elasticity between equipment capital and non-routine tasks, equipment capital and routine tasks are highly substitutable. Through the lenses of a general equilibrium model with occupational choice and the estimated production technology, I document that the fall in relative price of equipment capital alone can explain 72 percent of the observed ...
International Finance Discussion Papers , Paper 1200

Working Paper
Priors and the Slope of the Phillips Curve
Jones, Callum; Kulish, Mariano; Nicolini, Juan Pablo (2021-03-17)
The slope of the Phillips curve in New Keynesian models is difficult to estimate using aggregate data. We show that in a Bayesian estimation, the priors placed on the parameters governing nominal rigidities significantly influence posterior estimates and thus inferences about the importance of nominal rigidities. Conversely, we show that priors play a negligible role in a New Keynesian model estimated using state-level data. An estimation with state-level data exploits a relatively large panel dataset and removes the influence of endogenous monetary policy.
Working Papers , Paper 778

Working Paper
Trend-Cycle Decomposition and Forecasting Using Bayesian Multivariate Unobserved Components
Jahan-Parvar, Mohammad R.; Knipp, Charles; Szerszen, Pawel J. (2024-12-30)
We propose a generalized multivariate unobserved components model to decompose macroeconomic data into trend and cyclical components. We then forecast the series using Bayesian methods. We document that a fully Bayesian estimation, that accounts for state and parameter uncertainty, consistently dominates out-of-sample forecasts produced by alternative multivariate and univariate models. In addition, allowing for stochastic volatility components in variables improves forecasts. To address data limitations, we exploit cross-sectional information, use the commonalities across variables, and ...
Finance and Economics Discussion Series , Paper 2024-100

show more (50)

PREVIOUS / NEXT

Fed in Print

Search Results

FILTER BY year

FILTER BY Bank

FILTER BY Series

FILTER BY Content Type

FILTER BY Author

FILTER BY Jel Classification

FILTER BY Keywords