Compara mètodes
Revisa els mètodes seleccionats l'un al costat de l'altre; les files que difereixen es ressalten.
| Diferències en Diferències Multiperíode (DiD esglaonat)× | Diferències en Diferències amb Dades de Panell (Panel DiD / TWFE)× | |
|---|---|---|
| Camp | Inferència causal | Inferència causal |
| Família | Regression model | Regression model |
| Any d'origen≠ | 2021 | 1985–2004 |
| Autor original≠ | Callaway & Sant'Anna; Goodman-Bacon | Ashenfelter & Card (1985); codified by Angrist & Pischke (2009); serial correlation critique by Bertrand, Duflo & Mullainathan (2004) |
| Tipus | Causal inference / panel regression | Causal inference / panel regression |
| Font seminal≠ | Callaway, B., & Sant'Anna, P. H. C. (2021). Difference-in-differences with multiple time periods. Journal of Econometrics, 225(2), 200-230. DOI ↗ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| Àlies | staggered DiD, multi-period DiD, staggered difference-in-differences, heterogeneous timing DiD | Two-Way Fixed Effects DiD, TWFE, Panel DiD, Panel Diff-in-Diff |
| Relacionats≠ | 5 | 4 |
| Resum≠ | Multi-period Difference-in-Differences extends the classic two-period DiD framework to settings where units adopt treatment at different points in time. Formalised by Callaway and Sant'Anna (2021) and Goodman-Bacon (2021), it decomposes the overall treatment effect into group-time average treatment effects and addresses the bias that arises when conventional two-way fixed-effects regressions are applied to staggered adoption designs. | Panel Data Difference-in-Differences extends the classic two-period DiD design to settings with multiple units observed across many time periods. By absorbing unit-level fixed effects and time fixed effects simultaneously, it isolates the causal effect of a treatment or policy change while controlling for both time-invariant unit heterogeneity and common time shocks affecting all units. |
| ScholarGateConjunt de dades ↗ |
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