We fit the logistic function, the reduced form of epidemic behaviour, to the data for deaths from Covid-19, for a wide variety of countries, with a view to estimating a causal model of the covid virus' progression. We then set out a structural model of the Covid virus behaviour based on...

We set up two rival Computable General Equilibrium (CGE) models of world trade, one based on classical theories of comparative advantage, the other based on recent gravity theories. We have tested them by indirect inference on the time-series of trade facts for five major countries or country...

We carry out an indirect inference test of two versions of a computable general equilibrium (CGE) model of world trade. One of these, the 'classical' model,is well-known as the Heckscher-Ohlin-Samuelson model of world trade, in which countries trade homogeneous products in world markets and...

We set out Modern Monetary Theory (MMT) as a full DSGE model, and test it by indirect inference on post Financial Crisis US data, alongside a standard New Keynesian, NK, model. The MMT model is rejected, while the NK model has a high probability. We then evaluate replacing the Öscal and...

DSGE models based on New Keynesian principles, which have been extended to allow for banking, the zero lower bound on interest rates (ZLB), and varying price duration, can account well for recent macroeconomic behavior across a variety of economies. These models Önd that active Öscal policy...

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...

The downturn in the world economy following the global banking crisis has left the Chinese economy relatively unscathed. This paper develops a model of the Chinese economy using a DSGE framework with a banking sector to shed light on this episode. It differs from other applications in the use of...

Out-of-sample forecasting tests of DSGE models against time-series benchmarks such as an unrestricted VAR are increasingly used to check a) the specification b) the forecasting capacity of these models. We carry out a Monte Carlo experiment on a widely-used DSGE model to investigate the power 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...