Bayesian Full Information Analysis of Simultaneous Equation Models Using Integration by Monte Carlo

Language: English

Published by Springer, J.B. Metzler Sep 1984, 1984

3540133844 / 9783540133841

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This item is printed on demand - Print on Demand Titel. Neuware -In their review of the 'Bayesian analysis of simultaneous equation systems', Dr~ze and Richard (1983) - hereafter DR - express the following viewpoint about the present state of development of the Bayesian full information analysis of such sys tems i) the method allows 'a flexible specification of the prior density, including well defined noninformative prior measures'; ii) it yields 'exact finite sample posterior and predictive densities'. However, they call for further developments so that these densities can be eval uated through 'numerical methods, using an integrated software packa~e. To that end, they recommend the use of a Monte Carlo technique, since van Dijk and Kloek (1980) have demonstrated that 'the integrations can be done and how they are done'. In this monograph, we explain how we contribute to achieve the developments suggested by Dr~ze and Richard. A basic idea is to use known properties of the porterior density of the param eters of the structural form to design the importance functions, i. e. approximations of the posterior density, that are needed for organizing the integrations.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 128 pp. Englisch.…

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Title
Bayesian Full Information Analysis of Simultaneous Equation Models Using Integration by Monte Carlo
Author
L. Bauwens
Publisher
Springer, J.B. Metzler Sep 1984
Publication year
1984
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3540133844
ISBN 13
9783540133841
Item weight
236 grams
Dimensions
244x170x8 mm

buchversandmimpf2000

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