Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Lokale Gemiddelde Behandelingsuitkomst (LATE / CACE)× | Instrumentele Variabelen via Two-Stage Least Squares (IV/2SLS)× | |
|---|---|---|
| Vakgebied | Causale inferentie | Causale inferentie |
| Familie | Regression model | Regression model |
| Jaar van ontstaan≠ | 1994 | 2009 |
| Grondlegger≠ | Imbens & Angrist (1994); Angrist, Imbens & Rubin (1996) | Angrist & Pischke (textbook treatment); Stock & Yogo (weak-instrument theory) |
| Type≠ | Instrumental-variable causal estimand | Instrumental-variables regression |
| Oorspronkelijke bron≠ | 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 |
| Aliassen≠ | LATE, CACE, complier average causal effect, Yerel Ortalama Tedavi Etkisi (LATE / CACE) | instrumental variables, IV estimation, 2SLS, instrumental variable regression |
| Verwant | 5 | 5 |
| Samenvatting≠ | 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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