This study introduces the Ensemble Empirical Mode Decomposition (EEMD) technique to forecasting popular vote share. The technique is useful when using polling data, which is pertinent when none of the main candidates is the incumbent. Our main interest in this study is the short- and long-term...

The purpose of this paper is to investigate the nature of professionals’ inflation forecasts inattentiveness. We introduce and empirically investigate a new generalized model of inattentiveness due to informational rigidity. In doing so, we outline a novel model that considers the non-linear...

The purpose of the present paper is to investigate perceived inflation gap persistence using actual data of professional forecasts. We derive the unobserved perceived inflation gap persistence and using a state dependent model we estimate the non-linear persistence coefficient of inflation gap....