The main purpose of this paper is to develop generalized ‘State Dependent Models' (SDM) in a multivariate framework for empirical analysis. This significantly extends the existing SDM which only allow univariate analysis following a simple AR process. The extended model enables greater...

We examine the relationship between the prices paid by households and their shopping patterns measured in terms of shopping frequency and the range of stores visited. We use the TNS data which allows us to control for household heterogeneity. The main contribution of the paper is that we find...

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...

Five sampling schemes (SS) for price index construction - one cut-off sampling technique and four probability-proportional-to-size (<italic>pps</italic>) methods - are evaluated by comparing their performance on a homescan market research data set across 21 months for each of the 13 classification of individual...

We examine the relationship between the prices paid by households and their shopping patterns measured in terms of shopping frequency and the range of stores visited. We use the TNS data which allows us to control for household heterogeneity. The main contribution of the paper is that we find...