A structural break refers to a significant and lasting change in the relationship between variables in a statistical model or in a time series data set. This change can occur due to various events such as economic crises, policy changes, technological advances, or other external shocks that impact the underlying processes being modeled. In the context of time series analysis, a structural break can indicate that the behavior of the data before and after the break is fundamentally different.
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