High-dimensional regression problems which reveal dynamic behavior are typicallyanalyzed by time propagation of a few number of factors. The inference on thewhole system is then based on the low-dimensional time series analysis. Such highdimensional problems occur frequently in many different...

Econometrics often deals with data under, from the statistical point of view, non-standard conditions such as heteroscedasticity or measurement errors and the estimation methods need thus be either adopted to such conditions or be at least insensitive to them. The methods insensitive to...

This paper presents the software framework JStatCom which is geared towardsthe development of rich GUI clients for numerical procedures. The concept is tosolve all recurring tasks with the help of reusable Java components. Optionally, onecan delegate the execution of special numerical algorithms...

We propose and apply a new approach for analyzing the effects of fiscal policyusing vector autoregressions. Unlike most of the previous literature this approachdoes not require that the contemporaneous reaction of some variables to fiscalpolicy shocks be set to zero or need additional...