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Efectul Heteogen al Tratamentului: Regresia Discontinuitate Fuzzy×Regresia cuantilică×
DomeniuInferență cauzalăEconometrie
FamilieRegression modelRegression model
Anul apariției20011978
Autorul originalHahn, Todd & Van der Klaauw (2001); extensions by Calonico, Cattaneo & Titiunik (2014)Koenker & Bassett
TipQuasi-experimental causal inference / heterogeneity analysisConditional quantile regression
Sursa seminalăHahn, J., Todd, P., & Van der Klaauw, W. (2001). Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design. Econometrica, 69(1), 201-209. DOI ↗Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗
Denumiri alternativeHTE-Fuzzy RDD, heterogeneous LATE at threshold, subgroup fuzzy RD, fuzzy RD with effect heterogeneityconditional quantile regression, regression quantiles, Kantil Regresyon
Înrudite55
RezumatHeterogeneous Treatment Effect Fuzzy RDD extends the standard fuzzy regression discontinuity design — where treatment probability, not treatment status itself, jumps at a threshold — by examining whether the Local Average Treatment Effect (LATE) estimated at the threshold differs systematically across subgroups defined by covariates such as gender, socioeconomic status, or prior ability. It combines the instrumental-variable logic of fuzzy RDD with structured heterogeneity analysis.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.
ScholarGateSet de date
  1. v1
  2. 2 Surse
  3. PUBLISHED
  1. v1
  2. 2 Surse
  3. PUBLISHED

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ScholarGateCompară metode: Heterogeneous Treatment Effect Fuzzy Regression Discontinuity · Quantile Regression. Preluat la 2026-06-19 de pe https://scholargate.app/ro/compare