Sluggish Inflation Expectations: A Markov Chain Analysis

Working Paper: NBER ID: w22009

Authors: Narayana R. Kocherlakota

Abstract: A large body of recent empirical work on inflation dynamics documents that current real variables (like unemployment or output gaps) have little explanatory power for future inflation. Motivated by these findings, I explore the properties of a wide class of models in which inflation expectations respond little, if at all, to real economic conditions. In this general context, I examine Markov equilibria to games in which the relevant forcing processes are Markov chains and the central bank chooses a short- term nominal interest rate at each date subject to a lower bound. I construct a simple numerical algorithm to solve for such Markov equilibria. I apply the algorithm to a numerical example. In the example, the economy can experience long periods of what looks like secular stagnation because households believe that there is a significant risk of a crisis (that is, a sharp decline in economic activity). Within the example, there are large benefits to being able to reduce the lower bound on the short-term nominal interest rate by as little as fifty basis points.

Keywords: Inflation Expectations; Markov Chains; Monetary Policy; Zero Lower Bound

JEL Codes: E31; E32; E52; E58


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
central bank's nominal interest rate decisions (E52)inflation expectations (E31)
inflation expectations (E31)economic activity (E20)
central bank's nominal interest rate decisions (E52)economic activity (E20)
inflation expectations (E31)inflation outcomes (E31)
relaxation of the zero lower bound (E43)economic efficiency (D61)
economic conditions (E66)inflation expectations (E31)
economic crises (G01)inflation expectations (E31)

Back to index