G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/w22009
来源IDWorking Paper 22009
Sluggish Inflation Expectations: A Markov Chain Analysis
Narayana R. Kocherlakota
发表日期2016-02-22
出版年2016
语种英语
摘要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.
主题Macroeconomics ; Business Cycles ; Monetary Policy
URLhttps://www.nber.org/papers/w22009
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/579683
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GB/T 7714
Narayana R. Kocherlakota. Sluggish Inflation Expectations: A Markov Chain Analysis. 2016.
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