This presentation was a discussion in response to “The synthetic control method compared to difference-in-differences for evaluating pay-for-performance schemes in health care” presented by Noemi Kreif (LSHTM). Outline of discussion: 1 Very brief overview of synthetic control methods 2 Synthetic control methods for disaggregated data 3 Matching vs/and synthetic control methods 4 Indirect effect
The synthetic control method (SCM) is a new, popular method developed for the purpose of estimating ...
Synthetic control methods are an innovative matching technique first introduced within the economics...
To infer the treatment effect for a single treated unit using panel data, synthetic control methods ...
This paper examines the synthetic control method in contrast to commonly used difference-in-differen...
This paper examines the synthetic control method in contrast to commonly used difference-in-differen...
This paper examines the synthetic control method in contrast to commonly used difference-in-differen...
We analyze the conditions under which the Synthetic Control (SC) estimator is unbiased. We show that...
Background: Many public health interventions cannot be evaluated using randomised controlled trials....
We analyze the properties of the Synthetic Control (SC) and related estimators when the pre-treatmen...
Background: Many public health interventions cannot be evaluated using randomised controlled trials ...
The R package microsynth has been developed for implementation of the synthetic control methodology ...
It is becoming increasingly popular in applications of synthetic control methods to include the enti...
To estimate the effect of an exogenous intervention on a treated unit, a control unit is necessary. ...
Difference-in-differences (DiD) estimators provide unbiased treatment effect estimates when, in the ...
We evaluate whether a lack of guidance on how to choose the matching variables used in the Synthetic...
The synthetic control method (SCM) is a new, popular method developed for the purpose of estimating ...
Synthetic control methods are an innovative matching technique first introduced within the economics...
To infer the treatment effect for a single treated unit using panel data, synthetic control methods ...
This paper examines the synthetic control method in contrast to commonly used difference-in-differen...
This paper examines the synthetic control method in contrast to commonly used difference-in-differen...
This paper examines the synthetic control method in contrast to commonly used difference-in-differen...
We analyze the conditions under which the Synthetic Control (SC) estimator is unbiased. We show that...
Background: Many public health interventions cannot be evaluated using randomised controlled trials....
We analyze the properties of the Synthetic Control (SC) and related estimators when the pre-treatmen...
Background: Many public health interventions cannot be evaluated using randomised controlled trials ...
The R package microsynth has been developed for implementation of the synthetic control methodology ...
It is becoming increasingly popular in applications of synthetic control methods to include the enti...
To estimate the effect of an exogenous intervention on a treated unit, a control unit is necessary. ...
Difference-in-differences (DiD) estimators provide unbiased treatment effect estimates when, in the ...
We evaluate whether a lack of guidance on how to choose the matching variables used in the Synthetic...
The synthetic control method (SCM) is a new, popular method developed for the purpose of estimating ...
Synthetic control methods are an innovative matching technique first introduced within the economics...
To infer the treatment effect for a single treated unit using panel data, synthetic control methods ...