Space for whom?

A critical assessment of the prospects and constraints of space technology in relation to the socioeconomic and sociocultural development of society emphasizes the need for a reevaluation of the progress made thus far. Proper use of the unique space environment and the adjustment of technology to the requirements of changing pluriform societies could provide mankind with new capabilities for a well balanced utilization of resources, environmental monitoring, and global management.     

The ‘Puzzles’ methodology: En route to Indirect Inference?

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 two recent papers. We conclude that Indirect Inference is the proper end point of the puzzles methodology.     

Do business strategies vary across firms in the banking industry? New perspectives from the bank size–profitability nexus

This study examines the roles of interdependence and policy variations across firms in the causality between bank size and profitability in Nigeria, using second-generation estimators and the Dumitrescu–Hurlin panel Granger non-causality test. The findings support different business strategies and policy variances across banks. Causality is found non-existent in the cases of 11 banks. A unidirectional causality from size to profitability is established in two banks while evidence of a unidirectional causality is established from profitability to bank size in the other two banks. This study concludes that cross-sectional dependence and policy variations across firms matter in the bank size–profitability nexus.     

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.     

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.