Supervised dimension reduction methods have been extensively applied in different scientific fields like biology and medicine in recent years. However, they have hardly ever been used in micro economics, and in particular cost function modeling. Nonetheless, these methods can also be useful in...

In econometric analysis, non-nested models arise naturally when rival economic theories are used to explain the same phenomenon, such as unemployment, inflation or output growth. The authors examine the problem of hypothesis testing when the models under consideration are ‘non-nested’ or...

This paper provides a general framework for aggregating linear dynamic models by deriving the aggregate model as an optimal prediction of the aggregate variable of interest with respect to an aggregate information set generated by current and past values of available aggregate observations. The...

This paper develops a long-run growth model for a major oil exporting economy and derives conditions under which oil revenues are likely to have a lasting impact. This approach contrasts with the standard literature on the "Dutch disease" and the "resource curse", which primarily focuses on...

This survey uses a number of recent developments in the analysis of cointegrating Vector Autoregressions (VAR) to examine the links to the older structural modelling traditions using Autoregressive Distributed Lag (ARDL) and Simultaneous Equations Models (SEM). In particular, it emphasises the...

Using a recursive modelling procedure which generalises existing methods for simulating investors' search in `real time' for a model that can forecast stock returns, the authors demonstrate the extent to which monthly stock returns in the UK were predictable during the period 1970-1993. Owing to...

This paper develops a new approach to testing for the existence of a linear long-run relationship, when the orders of integration of the underlying regressors are not known with certainty. The test is the standard Wald or F statistic for testing the significance of the lagged levels of the...