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Regression modelQuasi-experimental / causal inference

Muundo wa kifani cha utafiti wa matukio

Muundo wa kifani cha utafiti wa matukio unapanua mfumo wa kawaida wa tofauti-ndani-ya-tofauti kwa kukadiria athari za matibabu katika kila kipindi kabla na baada ya tukio, badala ya kuunganisha kila kitu kuwa mgawo mmoja wa baada ya matibabu. Kwa kuchora mgawo wa kuongoza na kuchelewesha dhidi ya muda wa jamaa wa tukio, watafiti wanaweza kupima kwa wakati mmoja kwa mielekeo iliyopo awali na kufuatilia jinsi athari ya kisababishi inavyoendelea kwa vipindi vingi vya baada ya matibabu.

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Vyanzo

  1. Sun, L., & Abraham, S. (2021). Estimating dynamic treatment effects in event studies with heterogeneous treatment effects. Journal of Econometrics, 225(2), 175-199. DOI: 10.1016/j.jeconom.2020.09.006
  2. Callaway, B., & Sant'Anna, P. H. C. (2021). Difference-in-differences with multiple time periods. Journal of Econometrics, 225(2), 200-230. DOI: 10.1016/j.jeconom.2020.12.001

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Dynamic Event Study Design (Lead-Lag Specification). ScholarGate. https://scholargate.app/sw/causal-inference/dynamic-event-study-design

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ScholarGateDynamic Event Study Design (Dynamic Event Study Design (Lead-Lag Specification)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/causal-inference/dynamic-event-study-design · Seti ya data: https://doi.org/10.5281/zenodo.20539026