Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Analýza citlivosti na skrytou zkreslenost (Rosenbaumovy meze / E-hodnota)× | Instrumentální proměnné pomocí dvoufázové metody nejmenších čtverců (IV/2SLS)× | |
|---|---|---|
| Obor | Kauzální inference | Kauzální inference |
| Rodina | Regression model | Regression model |
| Rok vzniku≠ | 2002 | 2009 |
| Tvůrce≠ | Paul R. Rosenbaum (bounds); Tyler J. VanderWeele & Peng Ding (E-value) | Angrist & Pischke (textbook treatment); Stock & Yogo (weak-instrument theory) |
| Typ≠ | Sensitivity analysis for causal inference | Instrumental-variables regression |
| Původní zdroj≠ | Rosenbaum, P. R. (2002). Observational Studies (2nd ed.). Springer. ISBN: 978-0387989679 | Angrist, J. D. & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| Další názvy | Rosenbaum bounds, E-value, hidden bias sensitivity analysis, unmeasured confounding sensitivity | instrumental variables, IV estimation, 2SLS, instrumental variable regression |
| Příbuzné | 5 | 5 |
| Shrnutí≠ | Sensitivity analysis for hidden bias is a family of methods that quantify how strongly an unmeasured confounder would have to operate before it could overturn a causal conclusion drawn from observational data. It was crystallised by Paul Rosenbaum's sensitivity bounds (2002) and extended by VanderWeele and Ding's E-value (2017). | 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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