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

Gauti Eggertsson, Sergey Egiev, Alessandro Lin, Josef Platzer and Luca Riva ()

No 27878, NBER Working Papers from National Bureau of Economic Research, Inc

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 policy rules – 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 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.

JEL-codes: E31 E40 E50 E60 (search for similar items in EconPapers)
Date: 2020-10
New Economics Papers: this item is included in nep-cba, nep-dge, nep-mac and nep-mon
Note: ME
References: Add references at CitEc
Citations: View citations in EconPapers (8)

Published as Gauti B. Eggertsson & Sergey K. Egiev & Alessandro Lin & Josef Platzer & Luca Riva, 2021. "A toolkit for solving models with a lower bound on interest rates of stochastic duration," Review of Economic Dynamics, vol 41, pages 121-173.

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Related works:
Journal Article: A Toolkit for Solving Models with a Lower Bound on Interest Rates of Stochastic Duration (2021)
Working Paper: A Toolkit for Solving Models with a Lower Bound on Interest Rates of Stochastic Duration (2020)
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