This paper describes an approach that accommodates in a coherent way three types of uncertainty when measuring the output gap. These are trend uncertainty (associated with the choice of model and de-trending technique), estimation uncertainty (with a given model) and data uncertainty (associated...

Methods are described for the appropriate use of data obtained and analysed in real time to represent the output gap. The methods employ cointegrating VAR techniques to model real time measures and realisations of output series jointly. The model is used to mitigate the impact of data revisions;...

We estimate a model that allows for dynamic and interdependent responses of morbidity in different local areas to economic conditions at the local and national level, with statistical selection of optimal local area. We apply this approach to quarterly British data on chronic health conditions...

We estimate a model that allows for dynamic and interdependent responses of morbidity in different local areas to economic conditions at the local and national level, with statistical selection of optimal local area. We apply this approach to quarterly British data on chronic health conditions...

We construct a structural macroeconometric model for member states of the West African Economic and Monetary Union. Fitting this model to annual and quarterly time series data allows us to identify the channels through which macroeconomic innovation in one country impact on other countries in...

A canonical model is described which reflects the real time informational context of decision-making. Comparisons are drawn with ‘conventional’ models that incorrectly omit market-informed insights on future macroeconomic conditions and inappropriately incorporate information that was not...

The forecasting performance of a Global VAR model of actual and expected outputs in the G7 economies is compared with that of alternative models to judge the usefulness of modelling cross-country interdependencies and employing survey data. Both effects are found to be important in...