I'll try to be as clear as possible.
I've to download google trends data regarding a list of ticker name (ticker name is the identification name for a stock on the stock exchange).
I explore if STATA has some packages to do it, nevertheless it seems that it doesn't (if someone knows something, please let me know).
So, I found that with python you can do it. I found the codes on python and it seems that the input that you have to insert in one line of codes is the following:
Code:
KEYWORDS=['AAPL','FB','AMZN',]
I Have a panel data as this one
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input double fyear str8 tic 1987 "0015B" 1988 "0015B" 1989 "0015B" 1990 "0015B" 1991 "0015B" 1992 "0015B" 1993 "0015B" 1994 "0015B" 1995 "0015B" 1996 "0015B" 1997 "0015B" 1998 "0015B" 1999 "0015B" 2000 "0015B" 2001 "0015B" 2002 "0015B" 2003 "0015B" 2004 "0015B" 2005 "0015B" 2006 "0015B" 2007 "0015B" 2008 "0015B" 2009 "0015B" 2010 "0015B" 2011 "0015B" 2012 "0015B" 2013 "0015B" 2000 "0030B" 2001 "0030B" 2002 "0030B" 2003 "0030B" 2004 "0030B" 2005 "0030B" 2006 "0030B" 2007 "0030B" 2008 "0030B" 2009 "0030B" 2010 "0030B" 2011 "0030B" 2012 "0030B" 2013 "0030B" 1987 "0032A" 1988 "0032A" 1989 "0032A" 1990 "0032A" 1991 "0032A" 1992 "0032A" 1993 "0032A" 1994 "0032A" 1995 "0032A" 1996 "0032A" 1997 "0032A" 1998 "0032A" 1999 "0032A" 2000 "0032A" 2001 "0032A" 2002 "0032A" 2003 "0032A" 2004 "0032A" 2005 "0032A" 2006 "0032A" 2007 "0032A" 2008 "0032A" 2009 "0032A" 2010 "0032A" 2011 "0032A" 2012 "0032A" 2013 "0032A" 2014 "0032A" 2015 "0032A" 1987 "0033A" 1988 "0033A" 1989 "0033A" 1990 "0033A" 1991 "0033A" 1992 "0033A" 1993 "0033A" 1994 "0033A" 1995 "0033A" 1996 "0033A" 1997 "0033A" 1998 "0033A" 1999 "0033A" 2000 "0033A" 2001 "0033A" 2002 "0033A" 2003 "0033A" 2004 "0033A" 2005 "0033A" 2006 "0033A" 2007 "0033A" 2008 "0033A" 2009 "0033A" 2010 "0033A" 2011 "0033A" 2012 "0033A" 2013 "0033A" 2014 "0033A" 2015 "0033A" 2003 "0038A" end
I can overcome this problem with
Code:
duplicates drop tic fyear, force
Thank you in advance for your kind support
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