Difference between revisions of "Synthetic Control Method"
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'''THIS IS A STUB PAGE - CONTRIBUTIONS REQUESTED''' | '''THIS IS A STUB PAGE - CONTRIBUTIONS REQUESTED''' | ||
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The synthetic control method is a statistical method to evaluate treatment | The synthetic control method is a statistical method to evaluate '''treatment effects''' in comparative case studies. It creates a synthetic version of '''treated units''' by weighting '''variables''' and observations in the [[Control Group | control group]].</onlyinclude> | ||
== Read First == | == Read First == | ||
* Synthetic Control Methods require data on outcomes in the group that receives the treatment as well as the group that does not - for both pre- and post-treatment periods | * Synthetic Control Methods require data on outcomes in the group that receives the '''treatment''' as well as the group that does not - for both pre- and post-treatment periods | ||
== Overview == | == Overview == | ||
The Synthetic Control Method (SCM) is a statistical approach used to evaluate the treatment effect in comparative case studies. An SCM estimates the effect of | The Synthetic Control Method (SCM) is a statistical approach used to evaluate the '''treatment effect''' in comparative case studies. An SCM estimates the effect of the '''treatment''' or intervention of interest by comparing the evolution of an outcome '''variable''' for a unit affected by the '''treatment''' to the evolution of the same outcome '''variable''' for a synthetic control group. | ||
The synthetic control group is created by searching for a weighted combination of control units chosen to approximate the unit affected by the treatment in terms of predictor variables. The evolution of the outcome variable for the resulting synthetic control group is an estimate of the counterfactual of what would have been observed for the affected unit in the absence of the treatment. | The synthetic control group is created by searching for a weighted combination of control units chosen to approximate the unit affected by the '''treatment''' in terms of predictor '''variables'''. The evolution of the outcome '''variable''' for the resulting synthetic control group is an estimate of the counterfactual of what would have been observed for the affected unit in the absence of the '''treatment'''. | ||
== Back to Parent == | == Back to Parent == | ||
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== Additional Resources == | == Additional Resources == | ||
*[http://onlinelibrary.wiley.com/doi/10.1111/ajps.12116/full Comparative politics and the synthetic control method] | |||
[http://onlinelibrary.wiley.com/doi/10.1111/ajps.12116/full | *[https://web.stanford.edu/~jhain/synthpage.html Stata Package for Synthetic Control Method] | ||
*[https://web.stanford.edu/~jhain/synthpage.html Synth - Package for Synthetic Control Method in Stata, R and MATLAB] | |||
[https://web.stanford.edu/~jhain/synthpage.html Stata Package for Synthetic Control Method] | |||
[https://web.stanford.edu/~jhain/synthpage.html Synth - Package for Synthetic Control Method in Stata, R and MATLAB] | |||
[[Category: Quasi-Experimental Methods]][[Category: Data Analysis]] | [[Category: Quasi-Experimental Methods]][[Category: Data Analysis]] | ||
Latest revision as of 16:49, 7 August 2023
THIS IS A STUB PAGE - CONTRIBUTIONS REQUESTED
The synthetic control method is a statistical method to evaluate treatment effects in comparative case studies. It creates a synthetic version of treated units by weighting variables and observations in the control group.
Read First
- Synthetic Control Methods require data on outcomes in the group that receives the treatment as well as the group that does not - for both pre- and post-treatment periods
Overview
The Synthetic Control Method (SCM) is a statistical approach used to evaluate the treatment effect in comparative case studies. An SCM estimates the effect of the treatment or intervention of interest by comparing the evolution of an outcome variable for a unit affected by the treatment to the evolution of the same outcome variable for a synthetic control group.
The synthetic control group is created by searching for a weighted combination of control units chosen to approximate the unit affected by the treatment in terms of predictor variables. The evolution of the outcome variable for the resulting synthetic control group is an estimate of the counterfactual of what would have been observed for the affected unit in the absence of the treatment.
Back to Parent
This article is part of the topic Quasi-Experimental Methods.