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This paper proposes the use of wavelet methods to estimate U.S. core inflation. It explains wavelet methods and … for their performance in following trend inflation and predicting future inflation. Results suggest that wavelet … are a promising avenue for future research on core inflation …
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In this paper, we estimate trend inflation in Sweden using an unobserved components stochastic volatility model. Using … data from 1995Q4 to 2021Q4 and Bayesian estimation methods, we find that trend inflation has been well-anchored during the … period - although in general at a level below the inflation target - and it does not appear to have been affected much by the …
Persistent link: https://www.econbiz.de/10012818429
Using US and EU data, the present paper investigates if the core inflation, the measure of price growth obtained … excluding the more volatile items such as energy and food prices, is a good approxi- mation of the headline inflation that … issue if controlling the core inflation is still useful to anchor the medium-run inflation expectations. Using the wavelet …
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The predictive likelihood is of particular relevance in a Bayesian setting when the purpose is to rank models in a forecast comparison exercise. This paper discusses how the predictive likelihood can be estimated for any subset of the observable variables in linear Gaussian state-space models...
Persistent link: https://www.econbiz.de/10010412361
Testing procedures for assessing whether two stationary and independent linear processes with unequal lengths have the same spectral densities or same auto‐covariance functions are investigated. New test statistics are proposed based on the difference of the two wavelet‐based estimates of...
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