Hierarchical clustering is a popular method for finding structure in multivariate data, resulting in a binary tree constructed on the particular objects of the study, usually sampling units. The user faces the decision where to cut the binary tree in order to determine the number of clusters to...

When the behaviour of a specific hypothesis test statistic is studied by a Monte Carlo experiment, the usual way to describe its quality is by giving the empirical level of the test. As an alternative to this procedure, we use the empirical distribution of the obtained \emph{p-}values and...

We discuss some practical issues related to the use of the Parameterized Expectations Approach (PEA) for solving non-linear stochastic dynamic models with rational expectations. This approach has been applied in models of macroeconomics, financial economics, economic growth, contract theory,...