I have a dataset including over 500 firms that have CEO changes based on CEO_ID and lagged CEO_ID. Please see the following table to understand my dataset. I want to create an indicator variable that is equal to one for one year after the CEO changes and zero for one year before the CEO changes. Could you give me some suggestions on how I can create that indicator variable in this case? Thanks in advance for your help.
gvkey | fyear | execid | execid_n | lag1_execid | CEO_change |
1004 | 2003 | 9251 | 9251 | 9252 | -1 |
1004 | 2004 | 9252 | 9252 | 9251 | 1 |
1004 | 2005 | 23781 | 23781 | 9252 | 14529 |
1004 | 2006 | 9249 | 9249 | 23781 | -14532 |
1004 | 2008 | 23781 | 23781 | 9249 | 14532 |
1004 | 2009 | 36199 | 36199 | 23781 | 12418 |
1004 | 2010 | 9249 | 9249 | 36199 | -26950 |
1004 | 2011 | 41787 | 41787 | 9249 | 32538 |
1004 | 2012 | 33979 | 33979 | 41787 | -7808 |
1004 | 2013 | 46404 | 46404 | 33979 | 12425 |
1004 | 2015 | 9249 | 9249 | 46404 | -37155 |
1004 | 2016 | 51706 | 51706 | 9249 | 42457 |
1045 | 2002 | 3661 | 3661 | 3662 | -1 |
1045 | 2004 | 16654 | 16654 | 3661 | 12993 |
1045 | 2007 | 28280 | 28280 | 16654 | 11626 |
1045 | 2008 | 14591 | 14591 | 28280 | -13689 |
1045 | 2009 | 28280 | 28280 | 14591 | 13689 |
1045 | 2011 | 14591 | 14591 | 28280 | -13689 |
1045 | 2015 | 46190 | 46190 | 46189 | 1 |
1045 | 2016 | 46193 | 46193 | 46190 | 3 |
1075 | 2004 | 19092 | 19092 | 10739 | 8353 |
1075 | 2005 | 10739 | 10739 | 19092 | -8353 |
1075 | 2009 | 39817 | 39817 | 10739 | 29078 |
1075 | 2010 | 33218 | 33218 | 39817 | -6599 |
1075 | 2011 | 12755 | 12755 | 33218 | -20463 |
1075 | 2012 | 5835 | 5835 | 12755 | -6920 |
1075 | 2013 | 39817 | 39817 | 5835 | 33982 |
1075 | 2014 | 12755 | 12755 | 39817 | -27062 |
1078 | 2003 | 18569 | 18569 | 20862 | -2293 |
1078 | 2004 | 20862 | 20862 | 18569 | 2293 |
1078 | 2005 | 24400 | 24400 | 20862 | 3538 |
1078 | 2006 | 14300 | 14300 | 24400 | -10100 |
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