What Causes Banking Crises? An Empirical Investigation for the World Economy

We add the Bernanke-Gertler-Gilchrist model to a world model consisting of the US, the Euro-zone and the Rest of the World in order to explore the causes of the banking crisis. We test the model against linear-detrended data and reestimate it by indirect inference; the resulting model passes the Wald test only on outputs in the two countries. We then extract the model’s implied residuals on unfiltered data to replicate how the model predicts the crisis. Banking shocks worsen the crisis but ‘traditional’ shocks explain the bulk of the crisis; the non-stationarity of the productivity shocks plays a key role. Crises occur when there is a ‘run’ of bad shocks; based on this sample Great Recessions occur on average once every quarter century. Financial shocks on their own, even when extreme, do not cause crises—provided the government acts swiftly to counteract such a shock as happened in this sample.     

From demand management to monetary control, sustainable budgets and supply-side policy

The monetarist revolution displaced Keynesian management in the 1970s and early 1980s. But because of the shift in thinking to rational expectations, the idea that information is used efficiently in forming beliefs about the economy, monetarism has evolved into a general policy preoccupation with proper budgeting and the supply side as well as with monetary-policy rules that will both control inflation and help to stabilize the economy.     

Testing a DSGE Model of the EU Using Indirect Inference

We use the method of indirect inference, using the bootstrap, to test the Smets and Wouters model of the EU against a VAR auxiliary equation describing their data. We find that their model generates excessive variance compared with the data. But their model fits the dynamic facts quite well if the errors have the properties assumed by SW but scaled down. We compare a New Classical version of the model which also performs reasonably if error properties are chosen using New Classical priors (notably excluding shocks to preferences). Both versions have (different) difficulties fitting the data if the actual error properties are used. A model combining rigid and flexible-wage/price sectors, with a weight of around 5% on the rigid sector, does best in fitting the data.     

Measuring the Economic Costs and Benefits of the EU

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 2% for the rest of the EU. Added to its social interventionism, these costs suggest that the EU has put political integration before economic efficiency. This paper draws heavily on my book with Vidya Mahambare and Eric Nowell (Minford et al., 2005). I am grateful for helpful comments to Kim Huynh, Michele Fratianni and other participants at the IU 2006 conference in Fratianni’s honour. I contributed this paper in recognition of many pleasurable discussions with Michele over the years on this and many other topics. JEL Classification Numbers: F13, F14     

Emerging Markets, Unemployment and Inflation

World inflation is being held down by emerging market competition interacting with continuing OECD monetary policy. Here at home, fast productivity growth makes the UK something of an emerging market within Europe.     

Testing Macro Models by Indirect Inference: A Survey for Users

With Monte Carlo experiments on models in widespread use we examine the performance of indirect inference (II) tests of DSGE models in small samples. We compare these tests with ones based on direct inference (using the Likelihood Ratio, LR). We find that both tests have power so that a substantially false model will tend to be rejected by both; but that the power of the II test is substantially greater, both because the LR is applied after re-estimation of the model error processes and because the II test uses the false model’s own restricted distribution for the auxiliary model’s coefficients. This greater power allows users to focus this test more narrowly on features of interest, trading off power against tractability.     

Testing Part of a DSGE Model by Indirect Inference

We propose a way of testing a subset of equations of a DSGE model. The test draws on statistical inference for limited information models and the use of indirect inference to test DSGE models. Using the numerical small sample distribution of our test for two subsets of equations of the Smets–Wouters model we show that the test has accurate size and good power in small samples, and better power than using asymptotic distribution theory. In a test of the Smets–Wouters model on US Great Moderation data, we reject the specification of the wage‐price but not the expenditure sector. This points to the wage‐price sector as the source of overall model rejection.