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Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.

Bayesian Difference-in-Differences×Diferenças em Diferenças (DiD)×
ÁreaInferência causalEconometria
FamíliaRegression modelRegression model
Ano de origem2015-20231994
Autor originalLi & Marchand (formal Bayesian DiD framework); Brodersen et al. (Bayesian causal inference in time series)Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
TipoBayesian causal inference / panel regressionCausal inference / panel regression
Fonte seminalLi, F., & Marchand, J. (2023). Bayesian inference for difference-in-differences. Econometrics Journal, 26(3), 509-529. link ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
Outros nomesBayesian DiD, Bayes DiD, Bayesian diff-in-diff, Bayesian panel causal estimatordiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Relacionados55
ResumoBayesian Difference-in-Differences applies Bayesian statistical inference to the classic DiD design, replacing frequentist point estimates with full posterior distributions over the treatment effect. This yields not only an estimate of the causal effect but also a coherent probability statement about its magnitude and uncertainty, making it especially useful when sample sizes are modest or informative prior knowledge is available.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.
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ScholarGateComparar métodos: Bayesian Difference-in-Differences · Difference-in-Differences. Recuperado em 2026-06-15 de https://scholargate.app/pt/compare