Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Estudo de Eventos em Painel na Pesquisa em Educação× | Diferenças-em-Diferenças com Dados em Painel (Panel DiD / TWFE)× | |
|---|---|---|
| Área | Inferência causal | Inferência causal |
| Família | Regression model | Regression model |
| Ano de origem≠ | 1993 (general method); 2000s (education applications) | 1985–2004 |
| Autor original≠ | Jacobson, LaLonde & Sullivan (1993); widely adopted in education economics from 2000s onward | Ashenfelter & Card (1985); codified by Angrist & Pischke (2009); serial correlation critique by Bertrand, Duflo & Mullainathan (2004) |
| Tipo | Causal inference / panel regression | Causal inference / panel regression |
| Fonte seminal≠ | Jacobson, L. S., LaLonde, R. J., & Sullivan, D. G. (1993). Earnings Losses of Displaced Workers. American Economic Review, 83(4), 685-709. link ↗ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| Outros nomes | education event study, panel event-study design, education policy event study, school event study | Two-Way Fixed Effects DiD, TWFE, Panel DiD, Panel Diff-in-Diff |
| Relacionados | 4 | 4 |
| Resumo≠ | The panel event study is a causal-inference design that tracks outcomes for a panel of educational units — students, teachers, schools, or districts — across relative time periods around a well-defined event such as a policy change, school reform, or staffing transition. By estimating period-by-period treatment effects, it reveals not only whether an intervention mattered but also when effects appeared and how long they persisted, making it especially valued in education economics. | 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. |
| ScholarGateConjunto de dados ↗ |
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