Various inflation forecasting models are compared using a simulated out-of-sample forecasting framework. We focus on … the question of whether monetary aggregates are useful for forecasting inflation, but unlike previous work we examine a … are also reported on. The first shows that cointegration vector parameter estimation error is crucial when using VEC …

Inflation is a monetary phenomenon. While this statement is widely accepted in terms of a long-run relationship, the … quantity theory has been made operational also for the short-run dynamics of inflation by so-called Pstar models. An error … inflation. The response of the HICP is strongly positive. Other factors such as raw material prices and unit labor costs also …

This study examined the causal relationship between inflation and economic growth as well as estimating threshold and … forecasting of inflation in Nigeria for the period of 1961 { 2016. The study employed Granger causality test, Au- toregressive … (VAR) models. Granger causality test result showed that inflation does not granger cause economic growth and neither does …

This paper builds a short-term inflation projections (STIP) model for Latvia. The model is designed to forecast highly … Modelling Approach to Cointegration Analysis. Econometric Society Monographs, 31, 371-413.]. We assess the forecast accuracy of …) benchmarks. Across inflation components, the forecast accuracy gains are 20-30% forecasting 3 months ahead and 15-55% forecasting …

research employed the Unit root test, Co-integration test, and Vector Error Correction model (VECM) to examine the variables …