Inflation expectations and nonlinearities in the Phillips curve
Alexander Doser, Ricardo Nunes, Nikhil Rao, Viacheslav Sheremirov
Abstract
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Alexander Doser, Ricardo Nunes, Nikhil Rao, Viacheslav Sheremirov
Abstract
Open-access reader
Summary This paper examines the presence of nonlinearities in the Phillips curve. We allow for a flexible form of nonlinearity and estimate a threshold regression model with the number and location of thresholds determined directly from the data. Over the estimation period starting in the late 1960s, we document that the linear model cannot be rejected if we properly control for inflation expectations. More precisely, not controlling for consumer expectations may lead the econometrician to overestimate the degree of nonlinearity. Our results hold with aggregate data, regional data, and controlling for cost‐push shocks directly or using instrumental variables.
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Summary This paper examines the presence of nonlinearities in the Phillips curve. We allow for a flexible form of nonlinearity and estimate a threshold regression model with the number and location of thresholds determined directly from the data. Over the estimation period starting in the late 1960s, we document that the linear model cannot be rejected if we properly control for inflation expectations. More precisely, not controlling for consumer expectations may lead the econometrician to overestimate the degree of nonlinearity. Our results hold with aggregate data, regional data, and controlling for cost‐push shocks directly or using instrumental variables.
Key concepts: Phillips curve, Inflation (cosmology), Econometrics, Economics, Aggregate (composite), Estimation, Nonlinear system, Regression