paper? http://www.hec.unil.ch/agoyal/docs/Predictability_RFS.pdf
Such nice graphs! I suspect they used Python (matplotlib or seaborn), but I'm not sure... They used R? The graphs are overwhelmingly better than Stata ugos
They used R?
Which software did these two gentlemen use to make such nice graphs in this
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I don't think the graphs look nice. You wanna use build in packages from other software and upload the graph into LaTex, that is fine. That is what I do actually. But it never looks nice in my opinion. The only way to get a nice looking graph in LaTex is using tikz or pstricks.
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The thing is that it is almost like a fixed cost. Once you do for one graph, the others you just need to copy and past in latex and change the data file you are using for the plot. Maybe adjust the axes.
But I am waiting for a coauthor to pay that fixed cost for me! lol
I love coding too but in my case my software would be an RA or much simpler graph. I find it extremely inefficient to spend time on drawing graphs. Not criticizing. Just my side of the story...
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This paper by Goyal and Welch is as pathetic as that paper by Petersen on estimating standard errors.
Both of the papers come decade or two too late, and redo what is already known for decades, and what is already programmed in Stata say (in the case of Petersen delayed "research").
The moral of the story is that if you are a famous douchebag like Ivo Welch, or Petersen, you can publish whatever crap as "research."
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That is exactly my point :)
The thing is that it is almost like a fixed cost. Once you do for one graph, the others you just need to copy and past in latex and change the data file you are using for the plot. Maybe adjust the axes.
But I am waiting for a coauthor to pay that fixed cost for me! lolI love coding too but in my case my software would be an RA or much simpler graph. I find it extremely inefficient to spend time on drawing graphs. Not criticizing. Just my side of the story...