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Bayesian Inference in Dynamic Econometric Models$
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Luc Bauwens, Michel Lubrano, and Jean-François Richard

Print publication date: 2000

Print ISBN-13: 9780198773122

Published to Oxford Scholarship Online: September 2011

DOI: 10.1093/acprof:oso/9780198773122.001.0001

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Non-Linear Time Series Models

Non-Linear Time Series Models

Chapter:
(p.231) 8 Non-Linear Time Series Models
Source:
Bayesian Inference in Dynamic Econometric Models
Author(s):

Luc Bauwens

Michel Lubrano

Jean-François Richard

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780198773122.003.0008

This chapter examines non-linear time series models in relation to the Bayesian inference approach in econometric analysis. There are two types of models which are quite different for the treatment of inference. The first class of models corresponds to models with a threshold while the second class has been advocated as a reasonable approximation to the disequilibrium models proposed in 1974 by Maddala and Nelson. This chapter also analyses the so-called one-market disequilibrium model.

Keywords:   time series models, Bayesian inference, econometric analysis, approximation, disequilibrium model

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