Performance of Methods Determining Structural Break in Linear Regression Models
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.
Keywords
References
- Antoshin, S., Berg, A. and Souto, R. M. (2008). Testing for Structural Breaks in Small Samples. IMF Working Paper No.75.
- Brown, R. L., Durbın, J., Evans, J. M. (1975). Techniques for Testing the Constancy of Regression Relationships over Time. Journal of the Royal Statistical Society, 37, 149-192.
- Chow, C. G. (1960). Tests of Equality Between Sets of Coefficients in Two Linear Regressions. Econometrica, 28 (3), 591-605.
- Gujarati, D. N. (1970). Use Of Dummy Variables In Testing For Equality Between Sets Of Cooefficients In Linear Regressions: A Generalization. The American Statistician, 24 (5), 18-22.
- Gujarati, D. N. (2004). Basic Econometrics. Fourth Edition, New York City, US: McGraw-Hill Companies.
- Guris,S. and Caglayan, E. (2010). Basic Econometric Notions, Istanbul, Turkey: Der Yayınevi, 382-383.
- Hansen, E. B. (1992). Testing For Paremeter Instability In Linear Models. Journal Of Policy Modeling, 14 (4), 517-533.
- Hendry, D. F. (1989). PC-Give: An Interactive Econometric Modeling System. University of Oxford.
Details
Primary Language
English
Subjects
Business Administration
Journal Section
Research Article
Publication Date
September 25, 2019
Submission Date
August 3, 2018
Acceptance Date
October 4, 2019
Published in Issue
Year 2019 Volume: 11 Number: 2
Cited By
Structural change in the South African agricultural sector: Bai-Perron modelling
Scientific African
https://doi.org/10.1016/j.sciaf.2023.e01732