This paper investigates optimal indexation in the New Keynesian model, when the indexation choice includes the possibility of partial indexation and of varying weights on rational and lagged indexation. It Önds that the Calvo contract adjusted for rationally expected indexation under both...

Calvo contracts, which are the basis of the current generation of New Keynesian models, widely include indexation to general ináation. We argue that the indexing formula should be expected ináation rather than lagged ináation. This is likely to optimise the welfare of the representative agent...

We propose a numerical method, based on indirect inference, for checking the identification of a DSGE model. Monte Carlo samples are generated from the model's true structural parameters and a VAR approximation to the reduced form estimated for each sample. We then search for a different set of...

We propose a new type of test. Its aim is to test subsets of the structural equations of a DSGE model. The test draws on the statistical inference for limited information models and the use of indirect inference to test DSGE models. Using Monte Carlo experiments on two subsets of equations of...

This paper investigates the public sector wage premium in the UK using a microfounded eco-nomic model and indirect inference. The neoclassical wage determination model is tested and estimated without introducing any gap between the theoretical and empirical models. To test if the model is true,...

The EU has pursued protectionist policies not merely in food but also in manufacturing at the customs union level. In services it has not dismantled much of the existing national protectionism. The economic costs are calculated here at some 3% of GDP for the UK and some 4% for the rest of the EU...

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.