Hi there, I am having problems interpreting the chart from the
p output. I would really much appreciate any help in this regard.
I am evaluating a staggered intervention. Units are census blocks and years are from 2006 to 2019. The first round happened in 2009, and the second round in 2011. I want to provide some motivation to use the C&S estimator, and I wanted to see the results from the Bacon Decomposition first. And even though I read the paper, see the slides, and see other sources, I still have trouble understanding what is really showing us.
This is the code:
And this is the figure I obtained:

My problem with this picture is the labels. In the theoretical explanation, I always see "early vs later" groups, and in this picture, I see "Timing groups", or "Always treated vs timing", which I do not understand. If anybody has a clue on this I would really appreciate it! Thank you.
Code:
bacondecom
I am evaluating a staggered intervention. Units are census blocks and years are from 2006 to 2019. The first round happened in 2009, and the second round in 2011. I want to provide some motivation to use the C&S estimator, and I wanted to see the results from the Bacon Decomposition first. And even though I read the paper, see the slides, and see other sources, I still have trouble understanding what is really showing us.
This is the code:
Code:
xtreg sale_price age lotsizesquarefeet noofstories fullbath GarageAreaSqFt i.year trend1-trend1067 post, fe vce(cluster bg00) bacondecomp sale_price post age lotsizesquarefeet noofstories fullbath GarageAreaSqFt trend1-trend1067 , stub(Bacon_)
My problem with this picture is the labels. In the theoretical explanation, I always see "early vs later" groups, and in this picture, I see "Timing groups", or "Always treated vs timing", which I do not understand. If anybody has a clue on this I would really appreciate it! Thank you.
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