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We examine recursive out-of-sample forecasting of monthly postwarU.S. core inflation and log price levels. We use … fractional integration and structural breaks in the meanand variance of inflation in the 1970s and 1980s and weincorporate these …) model with those for ARIMA(1,d,1) models withfixed order of d=0 and d=1 for inflation. Comparing meansquared forecast errors …
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We summarize the general combination approach by Billio et al. [2010]. In the combination model the weights follow logistic autoregressive processes, change over time and their dynamics are possible driven by the past forecasting performances of the predictive densities. For illustrative...
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of US inflation using a model with time-varying mean and variance; we report significant improvements in the forecasting …
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model in an empirical study on the forecasting of U.S. headline inflation. In particular, we forecast monthly inflation … using daily oil prices and quarterly inflation using effective federal funds rates. The forecasting results and other …
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persistent rise in inflation following the COVID-19 recession. …
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