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विषम उपचार प्रभाव अंतर-में-अंतर (HTE-DiD)×अंतर-में-अंतर (डिफ-इन-डिफ)×
क्षेत्रकारणात्मक अनुमानअर्थमिति
परिवारRegression modelRegression model
उद्भव वर्ष20211994
प्रवर्तकCallaway & Sant'Anna; Sun & AbrahamCard & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
प्रकारCausal inference / panel regressionCausal inference / panel regression
मौलिक स्रोतCallaway, B., & Sant'Anna, P. H. C. (2021). Difference-in-Differences with multiple time periods. Journal of Econometrics, 225(2), 200-230. DOI ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
उपनामHTE-DiD, heterogeneous DiD, CATT estimator, group-time ATTdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
संबंधित45
सारांशHTE-DiD extends the classic Difference-in-Differences estimator to settings where treatment effects vary across units, time periods, or treatment cohorts. Developed formally by Callaway and Sant'Anna (2021) and Sun and Abraham (2021), it avoids the biases that arise when a conventional two-way fixed-effects regression is used with staggered adoption or effect heterogeneity, by estimating cohort-and-time-specific average treatment effects that can then be aggregated flexibly.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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  3. PUBLISHED
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  3. PUBLISHED

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