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Heterogeneous treatment effect Placebo test×अंतर-में-अंतर (डिफ-इन-डिफ)×
क्षेत्रकारणात्मक अनुमानअर्थमिति
परिवारRegression modelRegression model
उद्भव वर्ष2000s–2010s1994
प्रवर्तकRosenbaum (placebo test concept); Athey & Imbens (HTE estimation framework)Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
प्रकारValidation / falsification testCausal inference / panel regression
मौलिक स्रोतImbens, G. W., & Rubin, D. B. (2015). Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction. Cambridge University Press. ISBN: 978-0521885881Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
उपनामHTE placebo test, heterogeneous-effect placebo check, subgroup placebo test, CATE placebo validationdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
संबंधित35
सारांशA placebo test for heterogeneous treatment effects is a falsification strategy used to validate whether estimated variation in treatment effects across subgroups or covariate values is genuine rather than an artifact of model specification, overfitting, or coincidental patterns. By applying the same estimation procedure to pseudo-treatments, fake outcomes, or subgroups that logically should not differ, researchers check that observed heterogeneity reflects real causal variation.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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  1. v1
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  3. PUBLISHED

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