A Toolkit for Solving Models with a Lower Bound on Interest Rates of Stochastic Duration

41 Pages Posted: 6 Mar 2020 Last revised: 17 Apr 2023

See all articles by Gauti B. Eggertsson

Gauti B. Eggertsson

Brown University - Department of Economics

Sergey Egiev

Brown University

Alessandro Lin

Bank of Italy - Economic Outlook and Monetary Policy Directorate

Josef Platzer

Brown University - Department of Economics

Luca Riva

Brown University - Department of Economics

Multiple version iconThere are 2 versions of this paper

Date Written: February 5, 2020

Abstract

This paper presents a toolkit to solve for equilibrium in economies with the effective lower bound (ELB) on the nominal interest rate in a computationally efficient way under a special assumption about the underlying shock process, a two-state Markov process with an absorbing state. We illustrate the algorithm in the canonical New Keynesian model, replicating the optimal monetary policy in Eggertsson and Woodford (2003), as well as showing how the toolkit can be used to analyse the medium-scale DSGE model developed by the Federal Reserve Bank of New York. As an application, we show how various policy rules perform relative to the optimal commitment equilibrium. A key conclusion is that previously suggested strategies - such as price level targeting and nominal GDP targeting - do not perform well when there is a small drop in the price level, as observed during the Great Recession, because they do not imply a sufficiently strong commitment to low future interest rates ("make-up strategy"). We propose two new policy rules, Cumulative Nominal GDP Targeting Rule and Symmetric Dual-Objective Targeting Rule that are more robust. Had these policies been in place in 2008, they would have reduced the output contraction by approximately 80 percent. If the Federal Reserve had followed Average Inflation Targeting - which can arguably approximate the new policy framework announced in August 2020 - the output contraction would have been roughly 25 percent smaller.

Keywords: Occasionally binding constraints; Regime shifts, First-order perturbation, Optimal policy, Simple policy rules, Nominal GDP target

JEL Classification: E31, E40, E50, E60

Suggested Citation

Eggertsson, Gauti B. and Egiev, Sergey and Lin, Alessandro and Platzer, Josef and Riva, Luca, A Toolkit for Solving Models with a Lower Bound on Interest Rates of Stochastic Duration (February 5, 2020). Available at SSRN: https://ssrn.com/abstract=3532643 or http://dx.doi.org/10.2139/ssrn.3532643

Gauti B. Eggertsson (Contact Author)

Brown University - Department of Economics ( email )

64 Waterman Street
Providence, RI 02912
United States

Sergey Egiev

Brown University ( email )

64 Waterman Street
Providence, RI 02912
United States

Alessandro Lin

Bank of Italy - Economic Outlook and Monetary Policy Directorate ( email )

Via Nazionale 91
Rome, 00184
Italy

Josef Platzer

Brown University - Department of Economics ( email )

64 Waterman St
Providence, RI 02912
United States

Luca Riva

Brown University - Department of Economics ( email )

64 Waterman Street
Providence, RI 02912
United States

HOME PAGE: http://lucariva.net

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