Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Avaliação de Políticas com Ponderação por Escore de Propensão× | Diferenças em Diferenças (DiD)× | |
|---|---|---|
| Área≠ | Inferência causal | Econometria |
| Família | Regression model | Regression model |
| Ano de origem≠ | 1983/2003 | 1994 |
| Autor original≠ | Rosenbaum & Rubin (1983); extended to policy evaluation by Hirano, Imbens & Ridder (2003) | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| Tipo≠ | Quasi-experimental causal inference | Causal inference / panel regression |
| Fonte seminal≠ | Hirano, K., Imbens, G. W., & Ridder, G. (2003). Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score. Econometrica, 71(4), 1161-1189. DOI ↗ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| Outros nomes≠ | PSW policy evaluation, inverse probability weighting for policy, IPW policy evaluation, policy PSW | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| Relacionados≠ | 6 | 5 |
| Resumo≠ | Policy evaluation propensity score weighting applies inverse-probability weighting to observational data to estimate the causal effect of a policy program. By reweighting participants and non-participants so they resemble a target population, it removes selection bias from voluntary or administratively allocated program assignment without requiring randomization. | 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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