Using indirect inference based on a VAR we confront US data from 1972 to 2007 with a standard New Keynesian model in which an optimal timeless policy is substituted for a Taylor rule. We find the model explains the data both for the Great Acceleration and the Great Moderation. The implication is...

This paper uses a threshold autoregressive (TAR) framework to assess the relative importance of structural breaks and asymmetric persistence in accounting for the post-war unemployment experience. In comparing unemployment patterns across time periods and countries, we take the US as a...

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...

We review the methods used in many papers to evaluate DSGE models by comparing their simulated moments with data moments. We compare these with the method of Indirect Inference to which they are closely related. We illustrate the comparison with contrasting assessments of a two-country model in...

We evaluate the Smets-Wouters model of the US using indirect inference with a VAR representation of the main US data series. We find that the original New Keynesian SW model is on the margin of acceptance when SW's own estimates of the variances and time-series behaviour of the structural errors...

We examine a two country model of the EU and the US. Each has a small sector of the labour and product markets in which there is wage/price rigidity, but otherwise enjoys flexible wages and prices with a one quarter information lag. Using a VAR to represent the data, we find the model as a whole...

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...