Dear Statalist, I have a dataset in which each citing_year (within cited family) adds a new set of citing_firms not present in a previous year. I need your help for reshape the below dataset as wide in which each row is a cited_family - citing_year, but the trick is that the following rows (within a given cited_family) must to add the citing_firms in the previous years (here rows).
That is, cited_family==1000065 has 9 unique firms in 2003. So, these 9 firms will be in a single row (9 new variables).
In 2004, I need the same firms present in the row from 2003 plus the new firm from 2004. So, this new row will have in this case one more variable.
In 2005, I need all the previous firms (in this case would be the 10 previous: 9 from 2003 and 1 from 2004 firms) plus the new firms from 2005, all in a new row for cited_family – citing_year.
Can you help me with this?
Thanks in advance for your help!
That is, cited_family==1000065 has 9 unique firms in 2003. So, these 9 firms will be in a single row (9 new variables).
In 2004, I need the same firms present in the row from 2003 plus the new firm from 2004. So, this new row will have in this case one more variable.
In 2005, I need all the previous firms (in this case would be the 10 previous: 9 from 2003 and 1 from 2004 firms) plus the new firms from 2005, all in a new row for cited_family – citing_year.
Can you help me with this?
Thanks in advance for your help!
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input long(cited_han_id cited_family) int citing_year 2456791 1000065 2003 4063354 1000065 2003 106357619 1000065 2003 112493276 1000065 2003 112589240 1000065 2003 113008532 1000065 2003 113011155 1000065 2003 113011156 1000065 2003 113011157 1000065 2003 112589245 1000065 2004 105475384 1000065 2005 105889591 1000065 2005 105889594 1000065 2005 105889596 1000065 2005 105889597 1000065 2005 105895227 1000065 2005 105895228 1000065 2005 105895229 1000065 2005 105895230 1000065 2005 100951950 1000065 2011 100951952 1000065 2011 100951953 1000065 2011 1981214 1001348 2004 106051498 1001348 2004 106051499 1001348 2004 106051500 1001348 2004 106051501 1001348 2004 125793616 1001348 2004 125797054 1001348 2004 125799278 1001348 2004 125804427 1001348 2004 113013746 1001348 2006 113013747 1001348 2006 113013748 1001348 2006 113013749 1001348 2006 100959356 1001348 2008 100959357 1001348 2008 100959358 1001348 2008 100959359 1001348 2008 105892621 1001348 2010 185353888 1001348 2012 185367070 1001348 2012 185367071 1001348 2012 185532401 1001348 2012 185606878 1001348 2012 2433998 1001348 2014 118295562 1001348 2014 118295563 1001348 2014 139562940 1001348 2014 139562941 1001348 2014 3131499 1001348 2017 101363461 1001348 2017 101363462 1001348 2017 101363463 1001348 2017 101363464 1001348 2017 end

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