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 …

) with a special focus on persistence of real wages, wage and price inflation. The analysis is conducted within a structural … model, as well as the cointegrating properties of the estimated system. Overall, in the long run, wage and price inflation …

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

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 …

while ARIMA model gives the most accurate forecast of twelve-month inflation in EU countries. The Holt-Winters (additive and … fact that the European Union has been implementing a policy of strict inflation targeting for a long time, so the ARIMA … models give the most accurate forecast of inflation future values. In the countries of the Western Balkans the targeting …

cointegration parameters. Algorithms for (constrained) maximum likelihood estimation are presented, and asymptotic properties …

fractional cointegration types; survival analysis; statistical modelling; likelihood; econometric methodology; the teaching and …

We investigate changes in the time series characteristics of postwar U.S. inflation. In a model-based analysis the … conditional mean of inflation is specified by a long memory autoregressive fractionally integrated moving average process and the … efficient estimates of the parameters using a monthly dataset of core inflation for which we consider different subsamples of …