The difficulty in modelling inflation and the significance in discovering the underlying data generating process of … inflation is expressed in an ample literature regarding inflation forecasting. In this paper we evaluate nonlinear machine … learning and econometric methodologies in forecasting the U.S. inflation based on autoregressive and structural models of the …

between income inequality and the inflation rate. Employing a semiparametric instrument variable (IV) estimator, we find that … the relationship depends on the level of the inflation rate. A positive relationship occurs only if the states exceed a … threshold level of inflation rate. Below this value, inflation rate lowers income inequality. The results suggest that a …

In this paper we evaluate inflation persistence in the U.S. using long range monthly and annual data. The importance of … inflation persistence is crucial to policy authorities and market participants, since the level of inflation persistence … found in the relevant literature, we evaluate inflation persistence through the nonparametric Hurst exponent within both a …

The persistence property of inflation is an important issue for not only economists, but, especially for central banks …, given that the degree of inflation persistence determines the extent to which central banks can control inflation. Further …, not only is the level of inflation persistence that is important in economic analyses, but also the question of whether …