Detection of structural change is a critical empirical activity, but continuous 'monitoring' of time series for structural changes in real time raises well-known econometric issues. These have been explored in a univariate context. If multiple series co-break, as may be plausible, then it is...

We examine how to forecast after a recent break. We consider monitoring for change and then combining forecasts from models that do and do not use data before the change; and robust methods, namely rolling regressions, forecast averaging over different windows and exponentially weighted moving...

We consider time series forecasting in the presence of ongoing structural change where both the time-series dependence and the nature of the structural change are unknown. Methods that downweight older data, such as rolling regressions, forecast averaging over different windows and exponentially...

Density forecast combinations are becoming increasingly popular as a means of improving forecast ‘accuracy’, as measured by a scoring rule. In this paper we generalise this literature by letting the combination weights follow more general schemes. Sieve estimation is used to optimise the...

Using a panel of UK firms spanning three decades, we provide estimates of the long-run elasticity of substitution between capital and other factors of production, the (negative of the) elasticity of capital and investment with respect to the user cost. The parameter is estimated using 'time...

The methodology used in papers by Darby and Ireland and Caporale and Williams is examined, to see whether it continues to explain UK consumption behaviour. First, Muellbauer and Murphy's proxy for financial liberalisation (FLIB) is updated. Then a forward-looking consumption model is...

Theory tells us that output, the capital stock and the user cost of capital are related. From the capital accumulation identity, it also follows that the capital stock and investment have a long-run proportional relationship. The dynamic structure thus implies a multi-cointegrating framework, in...

Conventional wisdom has it that Tobin’s Q cannot help explain aggregate investment. This is puzzling, as recent evidence suggests the closely related user cost approach can do so. We do not attempt to explain this puzzle. Instead, we take an entirely different approach, not using the...

In recent years there has been increasing interest in forecasting methods that utilise large data sets, driven partly by the recognition that policymaking institutions need to process large quantities of information. Factor analysis is a popular way of doing this. Forecast combination is...

Simple intertemporal consumption theory implies that non-durable consumption is a random walk, but that consumption cointegrates with income and wealth. By the Granger representation theorem, there must be a (vector) error correction mechanism ((V)ECM) representation of the data; but from the...