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Variables Instrumentales Bayesianas (Bayesian IV)×Diferencia en Diferencias (Diff-in-Diff)×
CampoInferencia causalEconometría
FamiliaRegression modelRegression model
Año de origen20031994
Autor originalKleibergen & Zivot (2003); Lancaster (2004)Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
TipoCausal inference / Bayesian estimationCausal inference / panel regression
Fuente seminalKleibergen, F., & Zivot, E. (2003). Bayesian and classical approaches to instrumental variable regression. Journal of Econometrics, 114(1), 29-72. DOI ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
AliasBayesian IV, Bayesian 2SLS, Bayesian LIML, BayesIVdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Relacionados65
ResumenBayesian Instrumental Variables combines the instrumental variable strategy for addressing endogeneity with Bayesian posterior inference. Instead of relying on asymptotic sampling distributions, it places prior distributions over all structural parameters and recovers a full posterior distribution for the causal effect, providing probability statements about the parameter rather than p-values — especially valuable when instruments are weak or the sample is small.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 Instrumental Variables · Difference-in-Differences. Recuperado el 2026-06-15 de https://scholargate.app/es/compare