方法证据记录
Policy Evaluation Interrupted Time Series
Interrupted Time Series (ITS) for policy evaluation uses routinely collected aggregate time-series data to estimate the causal impact of a policy change. A segmented regression model splits the series at a known intervention date, estimating both an immediate level shift and a change in trend attributable to the policy — without requiring a randomised control group.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Interrupted Time Series Analysis for Policy Evaluation
分类方法记录 · regression-model / causal-inference
- Bernal, J. L., 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
- Box, G. E. P., & Tiao, G. C. (1975). Intervention Analysis with Applications to Economic and Environmental Problems. Journal of the American Statistical Association, 70(349), 70-79. · DOI 10.1080/01621459.1975.10480264
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