Journals / International Econometric Review / 2019 / Volume: 11 Issue: 2

Performance of Methods Determining Structural Break in Linear Regression Models

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Publication Date
2019-09-25
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results of the simulation revealed that the performances varies in terms of some structural features from the suggested methods for breakage determination.

📌 3 Key Takeaways

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Objective & Hypothesis:In this study, performance evaluation of some suggested approaches for the determination of structural break in a regression equation was studied.
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Key Findings & Data:Suggested tests for the determination of the structural break may have performance differences under some factors.
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Conclusion & Impact:The results of the simulation revealed that the performances varies in terms of some structural features from the suggested methods for breakage determination.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Structural break · Linear regression models · Model stability

Abstract

In this study, performance evaluation of some suggested approaches for the determination of structural break in a regression equation was studied. In this context, firstly the theoretical structure of some well-known methods on determination of structural break was considered by defining structural break problem. Suggested tests for the determination of the structural break may have performance differences under some factors. To demonstrate these differences, a simulation study in terms of effects of factors considered as performances of these methods. The results of the simulation revealed that the performances varies in terms of some structural features from the suggested methods for breakage determination.

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Cite This Article

Güler, Z. Ö., Bakır, M. A. (2019). Performance of Methods Determining Structural Break in Linear Regression Models. International Econometric Review, Volume: 11 Issue: 2. https://doi.org/10.33818/ier.450804

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