This paper develops a Bayesian quantile regression model with time-varying parameters (TVPs) for forecasting inflation … inflation with the ability of quantile regression to model flexibly the whole distribution of inflation. In order to make our …-based indicators for the prediction of the conditional distribution of inflation in the euro area, both in the short and longer run …

time-varying causality tests indicate that inflation is not always a monetary phenomenon in Malaysia. Therefore, the …

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

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 …

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 …

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 …

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 …