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Comparar métodos

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

Análise de Dados em Painel com Rupturas Estruturais×Diferenças em Diferenças (DiD)×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem1998-20101994
Autor originalBai & Perron (1998); extended to panels by Bai (2010) and Joseph et al.Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
TipoPanel time-series model with regime shiftsCausal inference / panel regression
Fonte seminalBai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47-78. DOI ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
Outros nomespanel structural break test, break-point panel model, panel change-point analysis, regime-shift panel analysisdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Relacionados45
ResumoStructural break panel data analysis detects and estimates points in time — break dates — where the underlying regression coefficients shift permanently across a panel of cross-sectional units observed over multiple periods. By jointly exploiting cross-sectional and time-series variation, it offers sharper identification of regime shifts than single-series break tests, and it delivers separate coefficient estimates for each regime before and after each break.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: Structural Break Panel Data Analysis · Difference-in-Differences. Recuperado em 2026-06-15 de https://scholargate.app/pt/compare