gaps.plot | R Documentation |
This function plots the gaps in the trajectories of the outcome variable for the treated unit and the
synthetic control group constructed by synth
and dataprep
. The user can specify whether
the whole time period or only the pre-treatment period should be plotted.
gaps.plot(synth.res = NA,
dataprep.res = NA,
Ylab = c("Title"),
Xlab = c("Time"),
Main = c("Gaps: Treated - Synthetic"),
tr.intake = NA,
Ylim = NA,
Z.plot = FALSE)
synth.res |
Output list created by |
dataprep.res |
Output list created by |
tr.intake |
Optional scalar to indicate the time of treatment intake with a vertical line. |
Ylab |
Optional label for Y axis. |
Xlab |
Optional label for X axis. |
Ylim |
Optional Ylim. |
Main |
Optional main title. |
Z.plot |
Flag. If true, only pretreatment period is plotted. |
The trajectory of the outcome for the synthetic control group is calculated as: dataprep.res$Y0plot %*% synth.res$solution.w. You can use this calculation to construct custom made plots.
The plot of trajectories.
Jens Hainmueller and Alexis Diamond
Abadie, A., Diamond, A., Hainmueller, J. (2014). Comparative Politics and the Synthetic Control Method. American Journal of Political Science Forthcoming 2014.
Synthetic : An R Package for Synthetic Control Methods in Comparative Case Studies. Journal of Statistical Software 42 (13) 1–17.
Abadie, A., Diamond, A., Hainmueller, J. (2011). Synth: An R Package for Synthetic Control Methods in Comparative Case Studies. Journal of Statistical Software 42 (13) 1–17.
Abadie A, Diamond A, Hainmueller J (2010). Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California's Tobacco Control Program. Journal of the American Statistical Association 105 (490) 493–505.
Abadie, A. and Gardeazabal, J. (2003) Economic Costs of Conflict: A Case Study of the Basque Country American Economic Review 93 (1) 113–132.
dataprep
, synth
, path.plot
, synth.tab
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