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Método de Control Sintético para Datos de Panel×Diferencia en Diferencias (Diff-in-Diff)×
CampoInferencia causalEconometría
FamiliaRegression modelRegression model
Año de origen20101994
Autor originalAlberto Abadie, Alexis Diamond & Jens HainmuellerCard & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
TipoCausal inference / panel dataCausal inference / panel regression
Fuente seminalAbadie, A., Diamond, A., & Hainmueller, J. (2010). Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California's Tobacco Control Program. Journal of the American Statistical Association, 105(490), 493-505. DOI ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
AliasSCM panel, panel synthetic control, synthetic control estimator, comparative case studydiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Relacionados55
ResumenThe panel data synthetic control method estimates the causal effect of an intervention on a single treated unit by constructing a data-driven weighted combination of untreated units — a synthetic control — that best reproduces the treated unit's pre-treatment outcome trajectory. The post-treatment gap between the treated unit and its synthetic counterpart is the estimated treatment effect.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: Panel Data Synthetic Control Method · Difference-in-Differences. Recuperado el 2026-06-15 de https://scholargate.app/es/compare