Statistical offices try to match item models when measuring inflation between two periods. For product areas with a high turnover of differentiated models, however, the use of hedonic indexes is more appropriate since they include the prices and quantities of unmatched new and old models. The...

The MatClass project is an experiment in the use of object- oriented methods in numerical methods using C++. MatClass is a family of numerical classes for C++ that are freely available. MatClass combined with a C++ compiler gives the user a compiled matrix language together with a set of...

Statistical offices try to match item models when measuring inflation between two periods. However, for product areas with a high turnover of differentiated models, the use of hedonic indexes is more appropriate since they include unmatched new and old models. There are two main competing...

This study evaluates a number of methods of reducing the bias and mean squared error of log-periodogram (LP) based methods to estimate the long-memory parameter and, in addition, assesses the actual coverage of the associated confidence intervals, considering both tails and the width of the...

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...

Statistical offices use the matched models method to compile consumer price indices (CPIs) to measure inflation. The prices of a sample of models are recorded, and then price collectors visit the same stores each subsequent month to record the prices of the same matched sample of models. The...

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...