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बायेसियन डिफरेंस-इन-डिफरेंस×अंतर-में-अंतर (डिफ-इन-डिफ)×
क्षेत्रकारणात्मक अनुमानअर्थमिति
परिवारRegression modelRegression model
उद्भव वर्ष2015-20231994
प्रवर्तकLi & Marchand (formal Bayesian DiD framework); Brodersen et al. (Bayesian causal inference in time series)Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
प्रकारBayesian causal inference / panel regressionCausal inference / panel regression
मौलिक स्रोतLi, 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
उपनामBayesian DiD, Bayes DiD, Bayesian diff-in-diff, Bayesian panel causal estimatordiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
संबंधित55
सारांशBayesian 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.
ScholarGateडेटासेट
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  2. 2 स्रोत
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  1. v1
  2. 2 स्रोत
  3. PUBLISHED

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