To model multivariate, possibly heavy-tailed data, we compare the multivariate normal model (N) with two versions of the multivariate Student model: the independent multivariate Student (IT) and the uncorrelated multivariate Student (UT). After recalling some facts about these distributions and...

To model multivariate, possibly heavy-tailed data, we compare the multivariate normal model (N) with two versions of the multivariate Student model: the independent multivariate Student (IT) and the uncorrelated multivariate Student (UT). After recalling some facts about these distributions and...

This paper presents a command, reganat, which implements graph ically the method of regression anatomy as described by Angrist and Pischke (2009). This tool can help the analyst in the validation of linear models, since it produces a bi-dimensional scatterplot obtained under the control of other...

The main objective of this paper is to elucidate the capability of time-series regression models to capture and forecast movements in occupancy patterns, rental rates and construction activity. The model presented is a three-stage simultaneous equation model. The first stage incorporates the...