Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Avaliação de Impacto Contrafactual (AIC)× | Diferenças em Diferenças (DiD)× | |
|---|---|---|
| Área≠ | Inferência causal | Econometria |
| Família | Regression model | Regression model |
| Ano de origem≠ | 1970s–2000s | 1994 |
| Autor original≠ | Heckman, Imbens, Rubin, and the program evaluation literature | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| Tipo≠ | Causal inference / program evaluation | Causal inference / panel regression |
| Fonte seminal≠ | Heckman, J. J., & Vytlacil, E. J. (2007). Econometric evaluation of social programs, Part I: Causal models, structural models and econometric policy evaluation. Handbook of Econometrics, 6B, 4779-4874. DOI ↗ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| Outros nomes≠ | CIE, counterfactual evaluation, counterfactual policy evaluation, impact evaluation | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| Relacionados | 5 | 5 |
| Resumo≠ | Counterfactual Impact Evaluation is a family of causal methods that estimates the effect of an intervention by comparing what actually happened to participants with what would have happened had the intervention not taken place. Formalised in the Rubin Causal Model and extended by Heckman, Imbens and others, CIE underlies most modern program and policy evaluation practice. | 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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