. -- New Keynesian Phillips curve ; cointegration ; vector autoregressive model …

. -- New Keynesian Phillips curve ; cointegration ; vector autoregressive model …

Previously, a linear and lagged relationship between inflation and labor force change rate, π(t)= A1dLF(t-t1)/LF(t-t1 … (RMFSE) of 0.8% at a two-year horizon for the period between 1965 and 2002 (the best among other inflation forecasting models …) and has a perfect parsimony - only one predictor. The relationship is tested for cointegration. Both variables are …

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 …

investment can help hedge against inflation in the United States (US) and Canada. This study employed an autoregressive … distributed lag (ARDL) cointegration test developed by Pesaran, Shin, and Smith (2001), and finds evidence of a positive long … against inflation in the United States and Canada. …

effects of uncertainty shocks on inflation. We find the response of inflation to be statistically insignificant until mid …

framework we examine the twelve potential intertemporal relationships between inflation, growth and their respective … uncertainties using US data. We find that high inflation is detrimental to output growth both directly and indirectly via the … nominal uncertainty. Output growth boosts inflation but mainly indirectly through a reduction in real uncertainty. Our …

the Phillips curve over time. We consider different specifications and different measures for inflation. Furthermore, we ….S. headline inflation has remained empirically relevant over the years. …