Hi everyone!
I am trying to do a parallel trend assumption testing where the pre-event years (denoted as year_new) are 2010 and 2012; post-event years (denoted as year_new) are 2014 and 2015. The variable of interest is monthly per capita consumption (denoted as MPCE_C). I have used the following command:
lgraph MPCE_C year_new, by (treat_uk)
The image of the graph is attached as the first picture where the blue line is for the control group and red line is for the treatment group.
The average MPCE_C is 2159.205 in 2012 and 2166.047 in 2014, as a result of which the point in the graph for the control and treatment groups seem to overlap. The treatment group is given by treat_uk=1 and control group is given by treat_uk=0. The image of the summary table are attached as the second picture.
Please advice me how should I modify the y-axis so that the gap between mean MPCE in 2012 and 2015 is visible in the graph.
I am trying to do a parallel trend assumption testing where the pre-event years (denoted as year_new) are 2010 and 2012; post-event years (denoted as year_new) are 2014 and 2015. The variable of interest is monthly per capita consumption (denoted as MPCE_C). I have used the following command:
lgraph MPCE_C year_new, by (treat_uk)
The image of the graph is attached as the first picture where the blue line is for the control group and red line is for the treatment group.
The average MPCE_C is 2159.205 in 2012 and 2166.047 in 2014, as a result of which the point in the graph for the control and treatment groups seem to overlap. The treatment group is given by treat_uk=1 and control group is given by treat_uk=0. The image of the summary table are attached as the second picture.
Please advice me how should I modify the y-axis so that the gap between mean MPCE in 2012 and 2015 is visible in the graph.
