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| Σχεδιασμός Ασυγχώνιστης Παλινδρόμησης (Regression Discontinuity Design - RDD)× | Εκτιμητές Μεταβλητών-Εργαλείων μέσω Ελαχίστων Τετραγώνων Δύο Σταδίων (IV/2SLS)× | |
|---|---|---|
| Πεδίο | Αιτιακή Συμπερασματολογία | Αιτιακή Συμπερασματολογία |
| Οικογένεια | Regression model | Regression model |
| Έτος προέλευσης≠ | 2008 | 2009 |
| Δημιουργός≠ | Imbens & Lemieux (guide to practice); Cattaneo, Idrobo & Titiunik (practical introduction) | Angrist & Pischke (textbook treatment); Stock & Yogo (weak-instrument theory) |
| Τύπος≠ | Quasi-experimental causal design | Instrumental-variables regression |
| Θεμελιώδης πηγή≠ | Imbens, G. W., & Lemieux, T. (2008). Regression Discontinuity Designs: A Guide to Practice. Journal of Econometrics, 142(2), 615-635. DOI ↗ | Angrist, J. D. & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| Εναλλακτικές ονομασίες | RDD, regression discontinuity design, sharp RDD, fuzzy RDD | instrumental variables, IV estimation, 2SLS, instrumental variable regression |
| Συναφείς | 5 | 5 |
| Σύνοψη≠ | Regression Discontinuity Design is a quasi-experimental method that identifies a causal effect by locally comparing units just above and just below a cutoff on a continuous assignment (running) variable. Formalised for applied work by Imbens and Lemieux (2008) and developed as a practical framework by Cattaneo, Idrobo, and Titiunik (2020), it estimates a local average treatment effect (LATE) at the threshold. | IV/2SLS is a two-stage estimation method that recovers the causal effect of an endogenous regressor by isolating the part of its variation driven by an external instrument. It is the workhorse identification strategy in modern applied econometrics, developed at length in Angrist and Pischke's Mostly Harmless Econometrics (2009). |
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