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Threshold Regression/Evidence
Method evidence record

Threshold Regression

Threshold regression is a nonlinear, regime-switching model in which the regression parameters take different values above and below an estimated threshold value of a threshold variable. The sample-splitting and threshold-estimation framework was developed by Bruce E. Hansen (2000) and is widely used for time-series and panel data with structural breaks and regime-dependent relationships.

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Threshold Regression Model
Taxonomic method record · regression-model / econometrics
  • Hansen, B. E. (2000). Sample Splitting and Threshold Estimation. Econometrica, 68(3), 575-603. · DOI 10.1111/1468-0262.00124
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Related methods

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Same method familyARDL Bounds Testmachine-suggested · Relational suggestion, not evidence.Same method familyNARDL Modelmachine-suggested · Relational suggestion, not evidence.Same method familyOLS Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyPanel Fixed Effectsmachine-suggested · Relational suggestion, not evidence.Same method familyQuantile Regressionmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Sources

1 recorded citation, copied from the method source record.

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