ability to describe the US inflation data. Specifically, the model allows for long memory in the conditional mean formulation … yields a good description of the salient features, including skewness and heteroskedasticity, of the US inflation data … ; inflation ; long memory ; normal mixture …

ability to describe the US inflation data. Specifically, the model allows for long memory in the conditional mean formulation … yields a good description of the salient features, including skewness and heteroskedasticity, of the US inflation data … ; Inflation ; Long Memory ; Normal Mixture …

attain local stationarity and bounded mean values. The model is applied to the analysis of inflation dynamics. Allowing for …

The estimation of inflation volatility is important to Central Banks as it guides their policy initiatives for … Heteroscedasticity (GARCH) family with a view to providing a parsimonious approximation to the dynamics of Nigeria's inflation volatility … and food CPI, implying that the impacts of inflation shocks on their volatilities die away very slowly. However, the …

This paper analyzes euro area and U.S. inflation dynamics since the beginning of the 1990s by estimating New Keynesian … hybrid Phillips curves with time-varying parameters. We measure inflation expectations by subjective forecasts from Consensus … results indicate that in both economic areas the inflation dynamics have steadily become more forward-looking over time. We …

We propose a noncausal autoregressive model with time-varying parameters, and apply it to U.S. postwar inflation. The … model fits the data well, and the results suggest that inflation persistence follows from future expectations. Persistence … curve indicate that current inflation also depends on past inflation although future expectations dominate. The implied …

The persistence property of inflation is an important issue for not only economists, but, especially for central banks …, given that the degree of inflation persistence determines the extent to which central banks can control inflation. Further …, not only is the level of inflation persistence that is important in economic analyses, but also the question of whether …

In this paper, I apply univariate and vector autoregressive (VAR) models to forecast inflation in Vietnam. To … properties of inflation in Vietnam. Then, I compute the pseudo out-of-sample root mean square error (RMSE) as a measure of … forecasting models from among the different candidates. I find that VAR_m2 is the best monthly model to forecast inflation in …

ability to describe the US inflation data. Specifically, the model allows for long memory in the conditional mean formulation … yields a good description of the salient features, including skewness and heteroskedasticity, of the US inflation data …