Dear all,
I'm trying to figure out how to delete observations based on the value of a previous observation.
Namely, I have companies (BvdIdNumber) for different years (t) with an outcome dummy variable firm survival (1 = survived).
I am trying to delete the observations for the subsequent years after the first observation of a company has a 0 for the variable firm survival.
Below an example of the dataset.
For the first company (AT9010101806) I would only like to keep observations for t0-t8, as t8 is the first time a 0 appears for firm survival and I do not want to keep a failed company in my dataset after the first year of failure.
Thank you in advance for your help and time.
Best regards,
Laura
I'm trying to figure out how to delete observations based on the value of a previous observation.
Namely, I have companies (BvdIdNumber) for different years (t) with an outcome dummy variable firm survival (1 = survived).
I am trying to delete the observations for the subsequent years after the first observation of a company has a 0 for the variable firm survival.
Below an example of the dataset.
For the first company (AT9010101806) I would only like to keep observations for t0-t8, as t8 is the first time a 0 appears for firm survival and I do not want to keep a failed company in my dataset after the first year of failure.
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input str16 BvdIdNumber byte t float(Gender Age Nationality FirmSurvival) "AT9010101806" 0 0 .01408922 .5 1 "AT9010101806" 1 0 .01381379 .5 1 "AT9010101806" 2 0 .01354892 .5 1 "AT9010101806" 3 0 .01329402 .5 1 "AT9010101806" 4 0 .01304853 .5 1 "AT9010101806" 5 0 .012811944 .5 1 "AT9010101806" 6 0 .012583784 .5 1 "AT9010101806" 7 0 .012363608 .5 1 "AT9010101806" 8 0 .012151004 .5 0 "AT9010101806" 9 0 .011945589 .5 0 "AT9010101806" 10 0 .011747003 .5 0 "AT9010131067" 0 0 0 0 1 "AT9010131067" 1 0 0 0 1 "AT9010131067" 2 0 0 0 1 "AT9010131067" 3 0 0 0 1 "AT9010131067" 4 0 0 0 1 "AT9010131067" 5 0 .037223335 0 1 "AT9010131067" 6 0 .03663288 0 1 "AT9010131067" 7 0 .03606087 0 1 "AT9010131067" 8 0 .035506442 0 1 "AT9010131067" 9 0 .034968805 0 1 "AT9010131067" 10 0 .034447208 0 1 "AT9010132938" 0 0 .1627238 0 1 "AT9010132938" 1 0 .1598938 0 1 "AT9010132938" 2 0 .15716057 0 1 "AT9010132938" 3 0 .1545192 0 1 "AT9010132938" 4 0 .15196514 0 1 "AT9010132938" 5 0 .16941477 .4444444 0 "AT9010132938" 6 0 .1665105 .4444444 0 "AT9010132938" 7 0 .16370414 .4444444 0 "AT9010132938" 8 0 .1609908 .4444444 0 "AT9010132938" 9 0 .15836594 .4444444 0 "AT9010132938" 10 0 .1558253 .4444444 0 end
Best regards,
Laura

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