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Keywords:DSGE models 

Exploiting the monthly data flow in structural forecasting

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

Working Paper
Fiscal Stimulus Under Average Inflation Targeting

The stimulus effects of expansionary fiscal policy under average inflation targeting (AIT) depends on both monetary and fiscal policy regimes. AIT features an inflation makeup under the monetary regime, but not under the fiscal regime. In normal times, AIT amplifies the short-run fiscal multipliers under both regimes while mitigating the cumulative multiplies due to intertemporal substitution. In a zero-lower-bound (ZLB) period, AIT reduces fiscal multipliers under a monetary regime by shortening the duration of the ZLB through expected inflation makeup. Under the fiscal regime, AIT has a ...
Working Paper Series , Paper 2022-22

Discussion Paper
Online Estimation of DSGE Models

The estimation of dynamic stochastic general equilibrium (DSGE) models is a computationally demanding task. As these models change to address new challenges (such as household and firm heterogeneity, the lower bound on nominal interest rates, and occasionally binding financial constraints), they become even more complex and difficult to estimate?so much so that current estimation procedures are no longer up to the task. This post discusses a new technique for estimating these models which belongs to the class of sequential Monte Carlo (SMC) algorithms, an approach we employ to estimate the ...
Liberty Street Economics , Paper 20190821

Working Paper
The US Banks’ Balance Sheet Transmission Channel of Oil Price Shocks

We document the existence of a quantitative relevant banks' balance-sheet transmission channel of oil price shocks by estimating a dynamic stochastic general equilibrium model with banking and oil sectors. The associated amplification mechanism implies that those shocks explain a non-negligible share of US GDP growth fluctuations, up to 17 percent, instead of 6 percent absent the banking sector. Also, they mitigated the severity of the Great Recession’s trough. GDP growth would have been 2.48 percentage points more negative in 2008Q4 without the beneficial effect of low oil prices. The ...
Working Papers , Paper 22-33

Working Paper
OccBin: A Toolkit for Solving Dynamic Models With Occasionally Binding Constraints Easily

We describe how to adapt a first-order perturbation approach and apply it in a piecewise fashion to handle occasionally binding constraints in dynamic models. Our examples include a real business cycle model with a constraint on the level of investment and a New Keynesian model subject to the zero lower bound on nominal interest rates. We compare the piecewise linear perturbation solution with a high-quality numerical solution that can be taken to be virtually exact. The piecewise linear perturbation method can adequately capture key properties of the models we consider. A key advantage of ...
Finance and Economics Discussion Series , Paper 2014-47

DSGE forecasts of the lost recovery

The years following the Great Recession were challenging for forecasters. Unlike other deep downturns, this recession was not followed by a swift recovery, but generated a sizable and persistent output gap that was not accompanied by deflation as a traditional Phillips curve relationship would have predicted. Moreover, the zero lower bound and unconventional monetary policy generated an unprecedented policy environment. We document the real real-time forecasting performance of the New York Fed dynamic stochastic general equilibrium (DSGE) model during this period and explain the results using ...
Staff Reports , Paper 844

Working Paper
The financial accelerator mechanism: does frequency matter?

We use mixed-frequency (quarterly-monthly) data to estimate a dynamic stochastic general equilibrium model embedded with the financial accelerator mechanism à la Bernanke et al. (1999). We find that the financial accelerator can work very differently at monthly frequency compared to quarterly frequency; that is, we document its inversion. That is because aggregating monthly data into quarterly data leads to large biases in the estimated quarterly parameters and, as a consequence, to a deep change in the transmission of shocks.
Working Papers , Paper 22-29

Working Paper
Has U.S. Monetary Policy Tracked the Efficient Interest Rate?

Interest rate decisions by central banks are universally discussed in terms of Taylor rules, which describe policy rates as responding to inflation and some measure of the output gap. We show that an alternative specification of the monetary policy reaction function, in which the interest rate tracks the evolution of a Wicksellian efficient rate of return as the primary indicator of real activity, fits the U.S. data better than otherwise identical Taylor rules. This surprising result holds for a wide variety of specifications of the other ingredients of the policy rule and of approaches to ...
Working Paper Series , Paper 2014-12

Working Paper
The Chicago Fed DSGE Model: Version 2

The Chicago Fed dynamic stochastic general equilibrium (DSGE) model is used for policy analysis and forecasting at the Federal Reserve Bank of Chicago. This guide describes its specification, estimation, dynamic characteristics, and how it is used to forecast the U.S. economy. In many respects the model resembles other medium-scale New Keynesian frameworks, but there are several features which distinguish it: the monetary policy rule includes anticipated future deviations, productivity is driven by both neutral and investment specific technical change, multiple price and wage indices identify ...
Working Paper Series , Paper WP 2023-36

Working Paper
Optimal Dynamic Capital Requirements and Implementable Capital Buffer Rules

We build a quantitatively relevant macroeconomic model with endogenous risk-taking. In our model, deposit insurance and limited liability can lead banks to make risky loans that are socially inefficient. This excessive risk-taking can be triggered by aggregate or sectoral shocks that reduce the return on safer loans. Excessive risk-taking can be avoided by raising bank capital requirements, but unnecessarily tight requirements lower welfare by limiting liquidity producing bank deposits. Consequently, optimal capital requirements are dynamic (or state contingent). We provide examples in which ...
Finance and Economics Discussion Series , Paper 2020-056


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