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Structural breaks in cointegration models

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  • Skrobotov, Anton

    (RANEPA, Moscow, SPBU, Saint Petersburg, Russian Federation)

Abstract

This review discusses methods of testing for a cointegration in a time series in the presence of structural breaks. The review covers a large number of recently developed testing methods based on both one equation and multiple equation frameworks. In addition, various methods for estimating the dating of break dates and constructing of their confidence intervals are presented. In addition, nonlinear cointegration methods with regime switching are considered.

Suggested Citation

  • Skrobotov, Anton, 2021. "Structural breaks in cointegration models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 63, pages 117-141.
    • Handle: RePEc:ris:apltrx:0429
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    Cited by:

    1. Skrobotov, Anton, 2021. "Structural breaks in cointegration models: Multivariate case," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 64, pages 83-106.
    2. Polbin, Andrey & Skrobotov, Anton, 2022. "On decrease in oil price elasticity of GDP and investment in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 66, pages 5-24.

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    More about this item

    Keywords

    testing for cointegration; testing for cointegration rank; structural breaks; error correction model;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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