In the present paper, we consider the role that observed covariates play in the SC method by characterizing the bias properties of the SC estimator without ... INTRODUCTION · THE ROLE OF COVARIATES... |
8 дек. 2017 г. · I am trying to run a synthetic control model using the "synth" command with no predictor variables. I am only trying to match on the dependent variable as in ... |
Accepted Wisdom 2: Covariates are unnecessary, especially if a close pre- treatment match for the outcome time-series can be found without them. Accepted Wisdom ... |
17 сент. 2021 г. · In this article we propose a set of simple principles to guide empirical practice in synthetic control studies. |
6 июл. 2021 г. · We demonstrate both theoretically and empirically that using all outcome lags as separate predictors renders all other covariates irrelevant in such settings. |
SCM is superior than Matching Methods because it not only matches on covariates (i.e., pre-treatment variables), but also outcomes. For a review of the method, ... |
Synthetic control approaches allow for causal inferences based on similar assumptions to difference-in-differences, but are particularly well suited for ... |
25 мар. 2022 г. · You need to choose covariates that are confounders, in particular, a sufficient set of variables to remove confounding. |
9 мар. 2018 г. · Potential Consequences of Ignoring the Covariates Above, we have proven that using all pre-treatment values of the outcome variable as separate ... |
The results in Table 1 illustrate the potential benefit in terms of the fit of the covariates from using synthetic control methods in studies with a few ... |
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