השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| אפקט הטיפול הממוצע המקומי (LATE / CACE)× | כלים דרך ריבועים פחותים בשני שלבים (IV/2SLS)× | |
|---|---|---|
| תחום | הסקה סיבתית | הסקה סיבתית |
| משפחה | Regression model | Regression model |
| שנת המקור≠ | 1994 | 2009 |
| הוגה השיטה≠ | Imbens & Angrist (1994); Angrist, Imbens & Rubin (1996) | Angrist & Pischke (textbook treatment); Stock & Yogo (weak-instrument theory) |
| סוג≠ | Instrumental-variable causal estimand | Instrumental-variables regression |
| מקור מכונן≠ | Imbens, G. W., & Angrist, J. D. (1994). Identification and Estimation of Local Average Treatment Effects. Econometrica, 62(2), 467-475. DOI ↗ | Angrist, J. D. & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| כינויים≠ | LATE, CACE, complier average causal effect, Yerel Ortalama Tedavi Etkisi (LATE / CACE) | instrumental variables, IV estimation, 2SLS, instrumental variable regression |
| קשורות | 5 | 5 |
| תקציר≠ | The Local Average Treatment Effect is an instrumental-variable estimand, introduced by Imbens and Angrist (1994) and formalised with Rubin (1996), that recovers the average treatment effect for the subpopulation of compliers — units whose treatment status is actually moved by the instrument. It is closely tied to compliance analysis. | 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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