WebThe synthetic control method offers a way to quantify the effect of an intervention using weighted averages of untreated units to approximate the counterfactual outcome that the treated unit(s) would have experienced in the absence of the intervention. ... 2024. "A Penalized Synthetic Control Estimator for Disaggregated Data," Journal of the ... WebJul 6, 2024 · penalized synthetic control method as well as that of the model averaged syn thetic control method, this allows for the selection of the tuning parameter controlling model selection. Imp ortantly ,
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WebDec 16, 2024 · Abadie and L’Hour ( 2024) propose a synthetic control estimator that penalizes the discrepancies between the values of the predictors for the treated unit and the values of the predictors for each of the units that contribute to the synthetic control. WebThe synthetic control method offers a way to estimate the effect of an aggregate intervention using weighted averages of untreated units to approximate the counterfactual outcome that the treated unit (s) would have experienced in the absence of the intervention. driving instructor gov uk
pensynth: Penalized Synthetic Control w/ Alberto Abadie
WebAug 30, 2024 · A synthetic control estimator compares the outcome of a treated unit to the outcome of a weighted average of untreated units that best resembles the characteristics … WebThe closest work to ours is the paper by Abadie and L’Hour (2024), who propose the penalized SC estimator. The penalized SC and MASC estimators are dif- ferent, but related in that both assign weights to untreated units while taking into consideration their distance from the treated unit in terms of pre-treatment charac- teristics. WebA Penalized Synthetic Control Estimator for Disaggregated Data. Jérémy L’Hour, CREST (joint with A. Abadie) 4:45pm – 5:30pm . mRSC: Multi-dimensional Robust Synthetic Control . Devavrat Shah, MIT (joint with J. Amjad, V. Misra and D. Shen) 6:00pm – Conference dinner (by invitation) 2 . May 21 : driving jersey