Dynamic Log-Linear Probability Model with Interactions

Christian Gouriéroux, Nour Meddahi

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The log-linear probability model has been initially introduced by Nerlove and Press (1973) for the analysis of contingency tables constructed from business survey data. We extend this modelling approach to the dynamic analysis of multivariate qualitative processes with the application to technical analysis of financial returns in mind. We develop the dynamic qualitative models with pairwise and/or three-wise interactions, discuss the interpretations of the interaction parameters,study the filtering and prediction algorithms, and compare the approach to machine learning models as the restricted Boltzmann machine and the normalizing flows.

Original languageEnglish
Title of host publicationAdvanced Studies in Theoretical and Applied Econometrics
PublisherSpringer Science and Business Media Deutschland GmbH
Pages453-473
Number of pages21
DOIs
Publication statusPublished - 1 Jan 2025
Externally publishedYes

Publication series

NameAdvanced Studies in Theoretical and Applied Econometrics
Volume57
ISSN (Print)1570-5811
ISSN (Electronic)2214-7977

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