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Abstract

The paper aims at systematic placement of identification concept within Bayesian approach. Pointing to some deficiencies of the standard Bayesian language to describe identification problem we propose several useful characterizations that seem to be intuitively sound and attractive given their potential applications. We offer comprehensive interpretations for them. Moreover we introduce the concepts of uniform, marginal and faithful identification. We argue that all these concepts may have practical significance. Our theoretical development is illustrated with a number of simple examples and one real application i.e. Structural VAR model.



Item Type: MPRA Paper -

Original Title: Bayesian Approach and Identification-

Language: English-

Keywords: Bayesian, Identification-

Subjects: C - Mathematical and Quantitative Methods > C0 - General > C01 - EconometricsC - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C11 - Bayesian Analysis: GeneralC - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C51 - Model Construction and Estimation-





Author: Kociecki, Andrzej

Source: https://mpra.ub.uni-muenchen.de/46538/



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