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| Heterogen behandlingseffekt i panelstudier med händelsestudier× | Differens-i-differens (DiD)× | |
|---|---|---|
| Ämnesområde≠ | Kausal inferens | Ekonometri |
| Familj | Regression model | Regression model |
| Ursprungsår≠ | 2021 | 1994 |
| Upphovsperson≠ | Sun & Abraham; Callaway & Sant'Anna | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| Typ≠ | Causal inference / quasi-experimental | Causal inference / panel regression |
| Ursprungskälla≠ | Sun, L., & Abraham, S. (2021). Estimating dynamic treatment effects in event studies with heterogeneous treatment effects. Journal of Econometrics, 225(2), 175-199. DOI ↗ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| Alias≠ | HTE panel event study, heterogeneous effects event study, staggered panel event study, CATT event study | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| Närliggande≠ | 4 | 5 |
| Sammanfattning≠ | A heterogeneous treatment effect panel event study estimates how treatment impacts vary across units and over time in a panel setting, allowing each cohort of treated units to have its own dynamic response. Seminal contributions by Sun and Abraham (2021) and Callaway and Sant'Anna (2021) showed that standard two-way fixed-effects event studies mask sign-reversing treatment heterogeneity across cohorts, motivating cohort-specific estimation followed by flexible aggregation. | Difference-in-Differences is a causal-inference method that estimates the effect of an intervention by comparing how a treatment group and a control group change over time. Made famous by Card and Krueger's 1994 minimum-wage study and developed in Angrist and Pischke's Mostly Harmless Econometrics, it isolates the treatment effect as the difference between the two groups' before-after changes. |
| ScholarGateDatamängd ↗ |
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