A Real Business Cycle model of the UK is developed to account for the behaviour of UK nonstationary macro data. The model is tested by the method of indirect inference, bootstrapping the errors to generate 95% confidence limits for a VECM representation of the data; we find the model can explain...

We extend the method of indirect inference testing to data that is not filtered and so may be non-stationary. We apply the method to an open economy real business cycle model on UK data. We review the method using a Monte Carlo experiment and find that it performs accurately and has good power....

Placed in the context of the upcoming referendum, this second edition brings up to date a thorough review of all economic aspects of the UK's membership of the EU. It notes the intention of the EU to move to 'ever closer union' and the nature of the regulatory and general economic philosophy of...

We use the method of indirect inference to test a full open economy model of the UK that has been in forecasting use for three decades. The test establishes, using a Wald statistic, whether the parameters of a time-series representation estimated on the actual data lie within some confidence...

A model of profits switches between four regimes with fixed probabilities; the rationally expected profits stream implies the stock market value. This efficient market model is not rejected by UK post-war time-series behaviour of either profits or the FTSE index.

This paper extends Meenagh and Minford (2021) to the four waves of infection in the UK by end-2021, using the unique newly available sample-based estimates of infections created by the ONS. These allow us to estimate the e§ects on the Covid hospitalisation and fatality rates of vaccination and...

It has been widely argued that inflation persistence since WWII has been widespread and durable and that it can only be accounted for by models with a high degree of nominal rigidity. We examine UK post-war data where after confirming previous studies findings of varying persistence due to...