Siri Masa Terganggu Data Panel
Siri Masa Terganggu Data Panel (panel ITS) ialah kaedah kuasi-eksperimen yang menganggarkan kesan kausal sesuatu intervensi menggunakan pemerhatian berulang daripada berbilang unit mengikut masa. Dengan memanfaatkan variasi merentasi unit dan tempoh masa, ia memberikan pengenalpastian kausal yang lebih kukuh berbanding ITS unit tunggal, mengesan perubahan dalam tahap dan cerun trajektori hasil serta-merta selepas intervensi yang bertarikh jelas.
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Method map
The neighbourhood of related methods — select a node to explore.
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Sumber
- Lopez 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: 10.1093/ije/dyw098 ↗
- Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Houghton Mifflin. ISBN: 978-0395615560
Cara memetik halaman ini
ScholarGate. (2026, June 3). Panel Data Interrupted Time Series Analysis. ScholarGate. https://scholargate.app/ms/causal-inference/panel-data-interrupted-time-series
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Perbezaan-dalam-Perbezaan (Diff-in-Diff)Ekonometrik↔ compare
- Analisis Siri Masa Terganggu (ITS)Inferens Kausal↔ compare
- Perbezaan-dalam-Perbezaan Data Panel (Panel DiD / TWFE)Inferens Kausal↔ compare
- Model Kesan Tetap Data PanelEkonometrik↔ compare
- Kaedah Kawalan Sintetik (SCM)Inferens Kausal↔ compare
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