Boubaker, HeniCanarella, GiorgioGupta, RanganMiller, Stephen M.2017-11-032017-09Boubaker, H., Canarella, G., Gupta, R. & Miller, S.M. 2017, 'Time-varying persistence of inflation : evidence from a Wavelet-based approach', Studies in Nonlinear Dynamics and Econometrics, vol. 21, no. 4, pp. 1-38.1558-3708 (online)10.1515/snde-2016-0130http://hdl.handle.net/2263/63019We propose a new long-memory model with a time-varying fractional integration parameter, evolving non-linearly according to a Logistic Smooth Transition Autoregressive (LSTAR) specification. To estimate the time-varying fractional integration parameter, we implement a method based on the wavelet approach, using the instantaneous least squares estimator (ILSE). The empirical results show the relevance of the modeling approach and provide evidence of regime change in inflation persistence that contributes to a better understanding of the inflationary process in the US. Most importantly, these empirical findings remind us that a "one-size-fits-all" monetary policy is unlikely to work in all circumstances.en© 2017 Walter de Gruyter GmbH, Berlin/BostonTime-varying long-memoryLSTAR modelMODWT algorithmLogistic smooth transition autoregressive (LSTAR)Instantaneous least squares estimator (ILSE)Maximum overlap discrete wavelet transform (MODWT)Postprint Article