The Optimal Prediction Simultaneous Equations Selection

This paper presents a method for selection of the optimal simultaneous equation system from a set of nested models under the condition of a small sample. The purpose of selection is to identify a model with the best prognostic possibilities. Multivariate AIC, BIC and AICC are used as the selection criteria. The selection properties of this method are investigated by Monte-Carlo simulations.

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Year of publication:	2004-01-01
Authors:	Gorobets, A.
Institutions:	Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
Subject:	simultaneous equations \| selection \| criteria \| simulation

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Extent:	application/pdf
Series:	Research Paper. - ISSN 1566-5283.
Type of publication:	Book / Working Paper
Notes:	The text is part of a series RePEc:dgr:eureri Number ERS-2003-023-ORG
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10004969831