विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| पैनल डेटा रिग्रेशन डिसकंटीन्यूइटी डिज़ाइन× | पैनल डेटा फिक्स्ड इफेक्ट्स मॉडल× | |
|---|---|---|
| क्षेत्र≠ | कारणात्मक अनुमान | अर्थमिति |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 1960 (original RDD); panel extension codified 2000s–2010s | 2014 |
| प्रवर्तक≠ | Thistlethwaite & Campbell (1960); panel extension developed through Lee & Lemieux (2010) and related applied work | Hsiao (textbook treatment); within transformation of panel data |
| प्रकार≠ | Causal inference / quasi-experimental | Panel data regression |
| मौलिक स्रोत≠ | Lee, D. S., & Lemieux, T. (2010). Regression Discontinuity Designs in Economics. Journal of Economic Literature, 48(2), 281-355. DOI ↗ | Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗ |
| उपनाम | Panel RD, Panel RDD, Longitudinal Regression Discontinuity, Fixed-Effects RDD | fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli |
| संबंधित | 5 | 5 |
| सारांश≠ | Panel data regression discontinuity design (Panel RDD) combines the sharp local identification of a regression discontinuity with the within-unit variation available in repeated-observation panel data. Units are observed across multiple periods, and treatment is assigned based on whether a running variable crosses a known threshold. By leveraging both the discontinuity and panel structure, researchers can control for unobserved unit-level heterogeneity while estimating a causal treatment effect near the threshold. | The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014). |
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