A well known result is that the Gaussian log-likelihood can be expressed as the sum over different frequency components. This implies that the likelihood ratio statistic has a similar linear decomposition. We exploit these observations to devise diagnostic methods that are useful for...

We propose a new method of testing stochastic dominance which improves on existing tests based on bootstrap or subsampling. Our test requires estimation of the contact sets between the marginal distributions. Our tests have asymptotic sizes that are exactly equal to the nominal level uniformly...

This paper studies the correlation and volatilities of the bond and stock markets in a regime- switching bivariate GARCH model. We extend the univariate Markov-Switching GARCH of Haas, Mittnik and Paolella (2004) into a bivariate Markov-switching GARCH model with Conditional Constant Correlation...

Most natural resources that are used in production are non-renewable. When they become depleted they are lost for future use. Does it follow that the limited availability of natural resources will at some time in the future constrain economic growth as many environmentalists believe? While...

Historical growth dynamics of energy technologies reveal a consistent relationship between the extent to which a technology’s installed capacity grows and the time duration of that growth. This extent – duration relationship is remarkably consistent across both supply-side and demand-side...

We use an innovative methodology to measure management practices in over 300 manufacturing firms in the UK. We then match this management data to production and energy usage information for establishments owned by these firms. We find that establishments in better managed firms are significantly...

There is a growing literature on unit root testing in threshold autoregressive models. This paper makes two contributions to the literature. First, an asymptotic theory is developed for unit root testing in a threshold autoregression, in which the errors are allowed to be dependent and...

In this note we propose a simple method of measuring directional predictability and testing for the hypothesis that a given time series has no directional predictability. The test is based on the correlogram of quantile hits. We provide the distribution theory needed to conduct inference,...