Modeling Dependence in Econometrics

2014
ISBN: 978-3-319-03394-5
Verlag: Springer International Publishing

Buch, Englisch, Band 251, 575 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 8891 g

Reihe: Advances in Intelligent Systems and Computing

In economics, many quantities are related to each other. Such economic relations are often much more complex than relations in science and engineering, where some quantities are independence and the relation between others can be well approximated by linear
functions. As a result of this complexity, when we apply traditional statistical techniques - developed for science and engineering - to process economic data, the inadequate treatment of dependence leads to misleading models and erroneous predictions. Some economists even blamed such inadequate treatment of dependence for the 2008 financial crisis.

To make economic models more adequate, we need more accurate techniques for describing dependence. Such techniques are currently being developed. This book contains description of state-of-the-art techniques for modeling dependence and economic applications of
these techniques. Most of these research developments are centered around the notion of a copula - a general way of describing dependence in probability theory and statistics. To be even more adequate, many papers go beyond traditional copula techniques and
take into account, e.g., the dynamical (changing) character of the dependence in economics.

Zielgruppe

Research

Autoren/Hrsg.

Huynh, Van-Nam

Sriboonchitta, Songsak

Kreinovich, Vladik

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Ökonometrie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Part I Keynote Paper.- Part II Fundamental Theory.- Part III Applications.