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اثرات ناهمگن تفاوت-در-تفاوت فازی رگرسیون ناپیوسته×رگرسیون کوانتایل×
حوزهاستنتاج علّیاقتصادسنجی
خانوادهRegression modelRegression model
سال پیدایش20011978
پدیدآورHahn, Todd & Van der Klaauw (2001); extensions by Calonico, Cattaneo & Titiunik (2014)Koenker & Bassett
نوعQuasi-experimental causal inference / heterogeneity analysisConditional quantile regression
منبع بنیادینHahn, 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 ↗
نام‌های دیگرHTE-Fuzzy RDD, heterogeneous LATE at threshold, subgroup fuzzy RD, fuzzy RD with effect heterogeneityconditional quantile regression, regression quantiles, Kantil Regresyon
مرتبط55
خلاصهHeterogeneous 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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  1. v1
  2. 2 منابع
  3. PUBLISHED

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ScholarGateمقایسهٔ روش‌ها: Heterogeneous Treatment Effect Fuzzy Regression Discontinuity · Quantile Regression. بازیابی‌شده در 2026-06-19 از https://scholargate.app/fa/compare