Estimating inflation persistence by quantile autoregression with quantile-specific unit roots
Wagner Gaglianone (),
Osmani Teixeira de Carvalho Guillén and
Francisco Rodrigues Figueiredo
Economic Modelling, 2018, vol. 73, issue C, 407-430
In this paper we study inflation persistence, which is a key feature of inflation dynamics, related to how quickly a stationary inflation process reverts to its long-run equilibrium after a shock. Emerging economies with high inflation persistence need to adjust macroeconomic policies in a significant way to price shocks (e.g., at the cost of substantial output decrease), since these shocks can affect expectations and inflation for a much longer period. We propose a novel way to estimate inflation persistence by using a quantile autoregression (QAR) model, which allows for asymmetric dynamics and quantile-specific unit roots. An empirical exercise with Brazilian data from January 1995 to May 2017 illustrates the method. The results indicate that inflation is globally stationary, but exhibits non-stationary behavior in 28% of the observations. In addition, shocks occurring when inflation is higher seem to have greater dissipation time compared to shocks that occur when inflation is lower.
Keywords: Inflation; Persistence; Quantile autoregression (search for similar items in EconPapers)
JEL-codes: C14 C22 E31 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:73:y:2018:i:c:p:407-430
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