Hi all!!
Firstly, thank you for reading/helping! I'm attempting a project on looking at CEO personal campaign contributions before the 2002 election, and seeing if that changed their stock price (pre/post 6 month average). I have an output of my dataex for the format of the data, and after some dataset transformation/manipulation, this is the final result I have. I'm curious as to what the best regression would be to use? Regular reg, or should I use areg? I was originally going to use, "reg changestockprice totalrep if post == 1 i.companyid, robust" but I also want to loop through other variables, like totaldem and towinners, for example. How would I go about writing a loop for that, and then making a table to append all of those regressions together? Apologies for the longer post, kind of stumped as to where to go from here, and also fix the collinearity problem I ran into when I ran the first regression previously mentioned. Any and all help would be so so appreciated!! Thank you!
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