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Просматривайте выбранные методы рядом; строки с различиями подсвечены.

Динамический анализ прерванных временных рядов×Разность разностей (Difference-in-Differences, DiD)×
ОбластьПричинно-следственный выводЭконометрика
СемействоRegression modelRegression model
Год появления2002–20171994
Автор методаWagner, Soumerai, Zhang & Ross-Degnan; extended by Lopez Bernal, Cummins & GasparriniCard & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
ТипQuasi-experimental time-series designCausal inference / panel regression
Основополагающий источникLopez Bernal, J., Cummins, S., & Gasparrini, A. (2017). Interrupted time series regression for the evaluation of public health interventions: a tutorial. International Journal of Epidemiology, 46(1), 348-355. DOI ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
Другие названияDynamic ITS, ITS with lagged effects, time-varying ITS, flexible ITSdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Связанные45
СводкаDynamic Interrupted Time Series (Dynamic ITS) extends the standard ITS design by allowing intervention effects to build up, decay, or shift over multiple time lags rather than assuming a single instantaneous level change. It estimates how an intervention's impact evolves across time periods, making it especially suited to public health, health services research, and policy evaluation where effects accumulate gradually or wear off after initial impact.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.
ScholarGateНабор данных
  1. v1
  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

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ScholarGateСравнение методов: Dynamic Interrupted Time Series · Difference-in-Differences. Получено 2026-06-17 из https://scholargate.app/ru/compare