Survey data frequently requires conversion from qualitative responses to quantitative series and it is often asserted that the conversion procedures introduce measurement errors that render the series unusable in structural modelling. We investigate the nature and treatment of the measurement...

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...

Survey data frequently requires conversion from qualitative responses to quantitative series. A commonly cited criticism of the use of the survey data is that the conversion procedures incorporate measurement errors which render the series unusable. In this paper, we provide a novel contribution...

This paper provides a characterisation of U.S. monetary policy within a generalized Tay¬lor rule framework that accommodates uncertainties about the duration of policy regimes and the speciÞcation of the rule, in addition to the standard parameter and stochastic un¬certainties inherent in...

Defining a recessionary event as one which impacts adversely on individuals’ economic well-being, the paper argues that recession is a multi-faceted phenomenon whose meaning differs from person to person as it impacts on their decision-making in real time. It argues that recession is best...

An output gap measure is suggested based on a multivariate Beveridge-Nelson decomposition of output using a vector-autoregressive model that includes data on actual output and on expected output obtained from surveys. The gap is estimated using an integrated approach to identifying permanent and...

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...