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Image of Modeling Dependence in Econometrics

Electronic Resource

Modeling Dependence in Econometrics

Kreinovich, Vladik - Personal Name; Sriboonchitta, Songsak - Personal Name; Huynh, Van-Nam - Personal Name;

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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.


Availability
Inventory Code Barcode Call Number Location Status
1408000651EB0003233519.53 ModCentral Library (OPAC)Available
Detail Information
Series Title
-
Call Number
519.53 Mod
Publisher
Switzerland : Springer Cham., 2013
Collation
xx, 57p.: Ill.
Language
English
ISBN/ISSN
978-3-319-03395-2
Classification
519.53
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Econometrics
Specific Detail Info
-
Statement of Responsibility
RTS
Other version/related

No other version available

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  • Modeling Dependence in Econometrics
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