Synthetic control methods are commonly applied in empirical research to estimate the effects of treatments or interventions on aggregate outcomes.

We propose a synthetic control estimator that penalizes the pairwise discrepancies between the characteristics of the treated units and the characteristics of ...

We propose a synthetic control estimator that penalizes the pairwise discrepancies between the characteristics of the treated units and the characteristics of ...

Penalized synthetic control yields a smooth transition between the synthetic control method (when λ = 0 ) and nearest neighbour matching (when λ → ∞ ).

28 мар. 2024 г. · Estimate penalized synthetic control models and perform hold-out validation to determine their penalty parameter. This method is based on the ...

This work proposes a synthetic control estimator that penalizes the pairwise discrepancies between the characteristics of the treated units and the ...

A penalized synthetic control estimator introduces a penalty term in the synthetic matching algorithm that penalizes discrepancies between the treated economy ...

Продолжительность: 1:07:17
Опубликовано: 25 апр. 2021 г.

28 мар. 2024 г. · Description Estimate penalized synthetic control models and perform hold-out validation to determine their penalty parameter. This method is ...

A penalized synthetic control estimator for disaggregated data with Alberto Abadie Journal of the American Statistical Association, December 2021.