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رگرسیون ناپیوستگی فازی داده‌های پانل×متغیرهای ابزاری داده‌های پنل (Panel IV / 2SLS)×
حوزهاستنتاج علّیاستنتاج علّی
خانوادهRegression modelRegression model
سال پیدایش2001 (fuzzy RDD); panel extension circa 20111978-1991
پدیدآورHahn, Todd & Van der Klaauw; extended to panel settings by Papay, Willett & Murnane and othersHausman (1978); Anderson & Hsiao (1982); Arellano & Bond (1991)
نوعQuasi-experimental causal inferenceCausal inference / panel regression
منبع بنیادینHahn, J., Todd, P., & Van der Klaauw, W. (2001). Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design. Review of Economic Studies, 68(1), 201-209. DOI ↗Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58(2), 277-297. DOI ↗
نام‌های دیگرPanel Fuzzy RDD, Panel FRD, Fuzzy RD with Panel Data, Panel Fuzzy RDPanel IV, Panel 2SLS, Within-IV, Fixed-Effects IV
مرتبط54
خلاصهPanel Data Fuzzy Regression Discontinuity Design (Panel FRD) extends the fuzzy RDD framework to settings where multiple observations per unit are available over time. It exploits a probabilistic — rather than deterministic — threshold-crossing rule to identify a local average treatment effect (LATE) while controlling for unit-level and time-level fixed effects, sharpening identification in repeated-measures contexts.Panel data instrumental variables combines the bias-correcting power of instrumental variables (IV) with the within-unit variation exploited by panel data methods. It addresses endogeneity — omitted variables, reverse causation, or measurement error — in longitudinal settings where observations are repeated across units and time. Seminal contributions come from Hausman (1978) on specification testing and Arellano and Bond (1991) on GMM-based panel IV.
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ScholarGateمقایسهٔ روش‌ها: Panel Data Fuzzy Regression Discontinuity · Panel Data Instrumental Variables. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare