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Fuzzy regresné diskontinuity dizajny s heterogénnymi kauzálnymi efektmi×Kvantilová regresia×
OdborKauzálna inferenciaEkonometria
RodinaRegression modelRegression model
Rok vzniku20011978
TvorcaHahn, Todd & Van der Klaauw (2001); extensions by Calonico, Cattaneo & Titiunik (2014)Koenker & Bassett
TypQuasi-experimental causal inference / heterogeneity analysisConditional quantile regression
Pôvodný zdrojHahn, 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 ↗
Ďalšie názvyHTE-Fuzzy RDD, heterogeneous LATE at threshold, subgroup fuzzy RD, fuzzy RD with effect heterogeneityconditional quantile regression, regression quantiles, Kantil Regresyon
Príbuzné55
ZhrnutieHeterogeneous 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.
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ScholarGatePorovnať metódy: Heterogeneous Treatment Effect Fuzzy Regression Discontinuity · Quantile Regression. Získané 2026-06-19 z https://scholargate.app/sk/compare