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...

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...

We undertake an empirical analysis of the UK output gap using real-time data and an approach that accommodates, in a coherent way, three types of uncertainty when measuring the gap. These are model uncertainty (associated with the choice of model and de-trending technique), estimation...

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...