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Abstract:
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Indicator saturation is a generic approach to robust estimation, and to the detection and quantification of structural breaks. Saturation techniques are inherently high-dimensional and require automated model selection with non-standard inference. This paper characterizes several roles for saturation techniques and proposes extensions of impulse indicator saturation that have greater power to detect empirically common structural breaks. A model for the Brazilian inflation rate illustrates saturation techniques.
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