Second-Order Least Squares Estimation in Nonlinear Time Series Models with ARCH Errors

Many financial and economic time series exhibit nonlinear patterns or relationships. However, most statistical methods for time series analysis are developed for mean-stationary processes that require transformation, such as differencing of the data. In this paper, we study a dynamic regression mode...

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Bibliographic Details
Main Authors: Mustafa Salamh, Liqun Wang
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Econometrics
Subjects:
Online Access:https://www.mdpi.com/2225-1146/9/4/41

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