Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Estudo de Evento em Painel para Avaliação de Políticas× | Diferenças em Diferenças (DiD)× | |
|---|---|---|
| Área≠ | Inferência causal | Econometria |
| Família | Regression model | Regression model |
| Ano de origem≠ | 2021 | 1994 |
| Autor original≠ | Callaway & Sant'Anna (2021); Borusyak, Jaravel & Spiess (2024); Sun & Abraham (2021) | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| Tipo≠ | Causal inference / quasi-experimental panel design | Causal inference / panel regression |
| Fonte 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 |
| Outros nomes≠ | panel event study, event-study DiD, staggered event study, difference-in-differences event study | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| Relacionados≠ | 6 | 5 |
| Resumo≠ | A panel event study is a quasi-experimental design that traces how an outcome evolves in periods before and after a policy event, using unit and time fixed effects to identify the causal effect. Widely used in economics and policy research, it tests for anticipation effects, verifies parallel pre-trends, and estimates dynamic treatment effects across post-treatment horizons — making it the standard toolkit for rigorous policy evaluation with observational panel data. | 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. |
| ScholarGateConjunto de dados ↗ |
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