Low inflation environments can impede monetary stimulus effectiveness due to the zero lower bound.
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Peer-reviewed macroeconomic literature reports that low inflation environments and liquidity traps characterized by nominal rates at the zero lower bound can impede the effectiveness of monetary policy and deteriorate economic performance.
Abstract This paper employs stochastic simulations of a small structural rational expectations model to investigate the consequences of the zero bound on nominal interest rates. We find that if the economy is subject to stochastic shocks similar in magnitude to those experienced in the United States over the 1980s and 1990s, the consequences of the zero bound are negligible for target inflation rates as low as 2 percent. However, the effects of the constraint are non-linear with respect to the inflation target and produce a quantitatively significant deterioration of the performance of the economy with targets between 0 and 1 percent. The variability of output increases significantly and that of inflation also rises somewhat. Also, we show that the asymmetry of the policy ineffectiveness induced by the zero bound generates a non-vertical long-run Phillips curve. Average output falls increasingly short of potential with lower inflation targets.
The global economic crisis of 2007-8 pushed many advanced economies into a liquidity trap, a macroeconomic scenario characterised by nominal rates at the zero lower bound (ZLB), low inflation and output below trend. We design an experiment to generate empirical evidence on the effectiveness of policies aimed at managing expectations against liquidity traps in a controlled laboratory environment where expectations are elicited directly from human subjects. Our results suggest that monetary policy alone is not sufficient to insulate the economy from the risk of falling into a liquidity trap, even if it preventively cuts the interest rate when inflation threatens to fall below a certain threshold. However, such policy augmented with a fiscal switching rule succeeds in avoiding and escaping liquidity trap episodes. We also measure larger-than-unity fiscal multipliers when monetary policy is constrained by the ZLB. Experimental results in different treatments are well explained by adaptive learning.
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