Code:
* Example generated by -dataex-. For more info, type help dataex clear input long DSCD int year float twonegcashflow double cfps 1 1999 . 1.026 1 2000 . 1.268 1 2001 . 1.499 1 2002 . 1.493 1 2003 . 1.183 1 2004 . 1.709 1 2005 . 2.258 1 2006 . 2.576 1 2007 . 2.656 1 2008 . 2.898 1 2009 . 1.998 1 2010 . 1.644 1 2011 . 1.927 1 2012 . 2.139 1 2013 . 2.61 1 2014 . 2.677 1 2015 . 3.435 1 2016 . 3.499 1 2017 . 3.279 1 2018 . 3.804 1 2019 . 4.378 1 2020 . . 1 2021 . . 2 1999 . 5.134 2 2000 . 5.443 2 2001 . 5.444 2 2002 . 4.871 2 2003 . 5.251 2 2004 . 5.821 2 2005 . 7.139 2 2006 . 8.35 2 2007 . 9.211 2 2008 . 8.615 2 2009 . 6.729 2 2010 . 6.47 2 2011 . 5.807 2 2012 . 6.195 2 2013 . 6.898 2 2014 . 6.767 2 2015 . 9.84 2 2016 . 12.122 2 2017 . 12.171 2 2018 . 14.214 2 2019 . 16.786 2 2020 . 17.909 2 2021 . . 3 1999 . .009 3 2000 . -.432 3 2001 1 -1.075 3 2002 1 -.499 3 2003 1 -.169 3 2004 1 -.269 3 2005 . .119 3 2006 . .321 3 2007 . .323 3 2008 . -.506 3 2009 . . 3 2010 . . 3 2011 . . 3 2012 . . 3 2013 . . 3 2014 . . 3 2015 . . 3 2016 . . 3 2017 . . 3 2018 . . 3 2019 . . 3 2020 . . 3 2021 . . 4 1999 . 1.567 4 2000 . 2.474 4 2001 . 2.202 4 2002 . 2.771 4 2003 . 2.226 4 2004 . 2.351 4 2005 . 2.405 4 2006 . 2.533 4 2007 . 2.975 4 2008 . 2.968 4 2009 . 4.122 4 2010 . 3.214 4 2011 . 3.475 4 2012 . 3.604 4 2013 . 3.97 4 2014 . 2.127 4 2015 . 1.411 4 2016 . 1.737 4 2017 . 2.057 4 2018 . 2.408 4 2019 . 1.714 4 2020 . 1.585 4 2021 . . 5 1999 . .176 5 2000 . .162 5 2001 . .201 5 2002 . .339 5 2003 . .541 5 2004 . .583 5 2005 . .719 5 2006 . .839 end label values DSCD DSCD1 label def DSCD1 1 "130042", modify label def DSCD1 2 "130062", modify label def DSCD1 3 "130079", modify label def DSCD1 4 "130086", modify label def DSCD1 5 "130088", modify
I have tried to use the following code:
bysort DSCD year: drop if (twonegcashflow[_N])==1
However, this only seems to drop the firm years where twonegcashflow =1 and not the entire firm.
Any guidance would be greatly appreciated.
Thanks,
Ammar.
0 Response to Deleting entire Firm based on condition from panel data set
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