Standard solution methods for linearised models with rational expectations take the structural parameters to be constant. These solutions are fundamental for likelihood-based estimation of such models. Regime changes, such as those as- sociated with either changed rules for economic policy,...

Many macroeconometric models are built to understand business cycles. However, the methods applied to assess them are rarely of the form that one learns whether they provide a good explanation of cycle characteristics. In this paper we review and apply techniques that do this for models with...

Simulation methods are now widely used in econometrics. The range of uses covers both the estimation of parameters in and the use of models. In this paper we discuss how simulation methods can be used to investigate some issues that have proven extremely difficult to handle analytically....

Macroeconometric and financial researchers often use secondary or constructed binary random variables that differ in terms of their statistical properties from the primary random variables used in micro-econometric studies. One important difference between primary and secondary binary variables...

This paper considers the implications of the permanent/transitory decomposition of shocks for identification of structural models in the general case where the model might contain more than one permanent structural shock. It provides a simple and intuitive generalization of the influential work...

In this paper, we discuss discrete-time tests for duration dependence. Two of our test statistics are new to the econometrics literature, and we make an important distinction between the discrete and continuous time frameworks. We then test for duration dependence in business and stock market...