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Regressão por Limiar×Regressão Quantílica×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem20001978
Autor originalBruce E. HansenKoenker & Bassett
TipoNonlinear regime-switching regressionConditional quantile regression
Fonte seminalHansen, B. E. (2000). Sample Splitting and Threshold Estimation. Econometrica, 68(3), 575-603. DOI ↗Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗
Outros nomesthreshold model, regime-switching regression, sample splitting model, Eşik Değer Regresyonu (Threshold Regression)conditional quantile regression, regression quantiles, Kantil Regresyon
Relacionados55
ResumoThreshold 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.Quantile regression models conditional quantiles of an outcome - the median, the 25th or 75th percentile, and so on - rather than the conditional mean that OLS targets. Introduced by Koenker and Bassett in 1978, it reveals how predictors act across the whole distribution, including its tails.
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ScholarGateComparar métodos: Threshold Regression · Quantile Regression. Recuperado em 2026-06-15 de https://scholargate.app/pt/compare