are also reported on. The first shows that cointegration vector parameter estimation error is crucial when using VEC …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 …

view of inflation. Second, we discuss how the recent inflationary episode has contributed to redistributing real resources …

This paper applies the recently developed maximum-likelihood-panel cointegration method of Larsson and Lyhagen (2007 … error terms. The findings using this new method are contrasted to those from the Pedroni (1995) cointegration tests and …

inflation in the cointegrated models. Finally, impulse response functions in the first difference specification die out within a …

The extent to which the stock market provides a hedge to investors against inflation is examined for African stock … markets. By employing parametric and nonparametric cointegration procedures, we show that the point estimates of the …

This paper develops a set of leading indicators of industrial production growth and consumer price inflation for the … inflation. Our findings provide evidence on the factors determining real activity and inflation in a period of disinflation and …

chain reactions, and provides new evidence on the long-run inflation-unemployment tradeoff in the US. It is argued that … inflation/unemployment responses to money growth shocks. SVAR (structural vector autoregression) and GMM (generalised method of … and real sides of the economy are symbiotic. In the light of the significant and robust long-run inflation …

processes, cointegration is a necessary condition both for consistent estimation of the parameters of the model and … compatibility between the model and the data. Tests find little support for cointegration and, together with an out …