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| Διαφορές-σε-Διαφορές Ετερογενούς Επίδρασης Θεραπείας (HTE-DiD)× | Δυναμική Διαφορών σε Διαφορές× | |
|---|---|---|
| Πεδίο | Αιτιακή Συμπερασματολογία | Αιτιακή Συμπερασματολογία |
| Οικογένεια | Regression model | Regression model |
| Έτος προέλευσης | 2021 | 2021 |
| Δημιουργός | Callaway & Sant'Anna; Sun & Abraham | Callaway & Sant'Anna; Sun & Abraham |
| Τύπος≠ | Causal inference / panel regression | Causal inference / quasi-experimental |
| Θεμελιώδης πηγή | Callaway, B., & Sant'Anna, P. H. C. (2021). Difference-in-Differences with multiple time periods. Journal of Econometrics, 225(2), 200-230. DOI ↗ | Callaway, B., & Sant'Anna, P. H. C. (2021). Difference-in-differences with multiple time periods. Journal of Econometrics, 225(2), 200-230. DOI ↗ |
| Εναλλακτικές ονομασίες | HTE-DiD, heterogeneous DiD, CATT estimator, group-time ATT | Dynamic DiD, Staggered DiD, Event-time DiD, Heterogeneous-timing DiD |
| Συναφείς | 4 | 4 |
| Σύνοψη≠ | HTE-DiD extends the classic Difference-in-Differences estimator to settings where treatment effects vary across units, time periods, or treatment cohorts. Developed formally by Callaway and Sant'Anna (2021) and Sun and Abraham (2021), it avoids the biases that arise when a conventional two-way fixed-effects regression is used with staggered adoption or effect heterogeneity, by estimating cohort-and-time-specific average treatment effects that can then be aggregated flexibly. | Dynamic Difference-in-Differences extends the classic DiD framework to settings where units adopt treatment at different times. Rather than collapsing all variation into a single 2x2 comparison, it estimates group-time average treatment effects for each adoption cohort at each calendar period, then aggregates them into interpretable summaries of the causal effect over event time. |
| ScholarGateΣύνολο δεδομένων ↗ |
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