Copulas are functions that describe the dependence between two or more random
variables. This article provides a brief review of copula theory and two areas of economics in …

Dependence Modeling with Copulas covers the substantial advances that have taken place
in the field during the last 15 years, including vine copula modeling of high-dimensional …

The “count data”? eld has further? ourished since the previous edition of this book was
published in 2003. The development of new methods has not slowed down by any means …

This article explores the copula approach for econometric modeling of joint parametric
distributions. Although theoretical foundations of copulas are complex, this paper …

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The dominant approach in the literature to dealing with sample selection is to assume a
bivariate normality assumption directly on the error terms, or on transformed error terms, in …

The rise of new media is helping marketers evolve from digital to interactive marketing,
which facilitates a two-way communication between marketers and customers without …

This paper is concerned with regression models for correlated mixed discrete and
continuous outcomes constructed using copulas. Our approach entails specifying marginal …

University drop-out is a topic of increasing concern in Italy as well as in other countries. In
empirical analysis, university drop-out is generally measured by means of a binary variable …

The majority of model-based clustering techniques is based on multivariate normal models
and their variants. In this paper copulas are used for the construction of flexible families of …