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ITERATIONS OF DEPENDENT RANDOM MAPS AND EXOGENEITY IN NONLINEAR DYNAMICS

Published online by Cambridge University Press:  04 February 2021

Zinsou Max Debaly and
Lionel Truquet
Zinsou Max Debaly
Affiliation:
Center for Research in Economics and Statistics
Lionel Truquet*
Affiliation:
Center for Research in Economics and Statistics
*
Address correspondence to Lionel Truquet, Center for Research in Economics and Statistics, National School of Statistics and Information Analysis, UMR CNRS 9194, Campus de Ker-Lann, rue Blaise Pascal, BP 37203, 35172 Bruz Cedex, France; e-mail: Lionel.TRUQUET@ensai.Fr.
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Abstract

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We discuss the existence and uniqueness of stationary and ergodic nonlinear autoregressive processes when exogenous regressors are incorporated into the dynamic. To this end, we consider the convergence of the backward iterations of dependent random maps. In particular, we give a new result when the classical condition of contraction on average is replaced with a contraction in conditional expectation. Under some conditions, we also discuss the dependence properties of these processes using the functional dependence measure of Wu (2005, Proceedings of the National Academy of Sciences 102, 14150–14154) that delivers a central limit theorem giving a wide range of applications. Our results are illustrated with conditional heteroscedastic autoregressive nonlinear models, Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) processes, count time series, binary choice models, and categorical time series for which we provide many extensions of existing results.

Information

Type
ARTICLES
Information
Econometric Theory , Volume 37 , Issue 6 , December 2021, pp. 1135 - 1172
Copyright
© The Author(s), 2021. Published by Cambridge University Press

Footnotes

This work was funded by CY Initiative of Excellence (grant “Investissements d’Avenir” ANR-16-IDEX-0008), Project “EcoDep” PSI-AAP2020-0000000013.

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