Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Análise de Sensibilidade de Efeitos de Tratamento Heterogêneos para Causalidade× | Diferenças em Diferenças (DiD)× | |
|---|---|---|
| Área≠ | Inferência causal | Econometria |
| Família | Regression model | Regression model |
| Ano de origem≠ | 2000s–2010s | 1994 |
| Autor original≠ | Rosenbaum (sensitivity analysis framework); extended to heterogeneous effects by Crump, Imbens, and others | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| Tipo≠ | Robustness / sensitivity check | Causal inference / panel regression |
| Fonte seminal≠ | Rosenbaum, P. R. (2002). Observational Studies (2nd ed.). Springer. ISBN: 978-0387989679 | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| Outros nomes≠ | HTE sensitivity analysis, heterogeneous-effects sensitivity analysis, sensitivity analysis with effect heterogeneity, HTE robustness analysis | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| Relacionados | 5 | 5 |
| Resumo≠ | Heterogeneous Treatment Effect Sensitivity Analysis examines how robust subgroup-specific causal estimates are to unobserved confounding. Rather than testing a single average treatment effect, it asks whether the estimated variation in treatment effects across units or subgroups could be explained away by hidden bias, and at what level of hidden bias the causal conclusions for each subgroup would break down. | 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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