Dear Statalist Users,
I hope you are doing great.
I observe 81 cities from 1990 to 2018. Each city has a unique identifier based on "plate" variable. For example city "Adana" has its identifier 1.
I need to create a variable, let's say X, which will take "refugee_lead1"s only 2012 values for each unique city. For example, I want X to be -0.0234827. However, the tricky part is that I want to assign X to each cities' years 1999, 2000, ... , 2008. So, for example, for city Adana, X should be -0.0234827 for all years from 1999 to 2008.
Thank you very much in advance.
I hope you are doing great.
I observe 81 cities from 1990 to 2018. Each city has a unique identifier based on "plate" variable. For example city "Adana" has its identifier 1.
I need to create a variable, let's say X, which will take "refugee_lead1"s only 2012 values for each unique city. For example, I want X to be -0.0234827. However, the tricky part is that I want to assign X to each cities' years 1999, 2000, ... , 2008. So, for example, for city Adana, X should be -0.0234827 for all years from 1999 to 2008.
Thank you very much in advance.
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input byte plate int child_birth_year str15 city float refugee_lead1 1 1999 "Adana" -.17585197 1 2000 "Adana" -.17585197 1 2001 "Adana" -.17585197 1 2002 "Adana" -.17585197 1 2003 "Adana" -.17585197 1 2004 "Adana" -.17585197 1 2005 "Adana" -.17585197 1 2006 "Adana" -.17585197 1 2007 "Adana" -.17585197 1 2008 "Adana" -.17585197 1 2009 "Adana" -.17585197 1 2010 "Adana" -.17585197 1 2011 "Adana" -.17585197 1 2012 "Adana" -.023482664 1 2013 "Adana" .30652675 1 2014 "Adana" .9005294 1 2015 "Adana" 1.0030403 1 2016 "Adana" 1.049462 1 2017 "Adana" 1.339191 1 2018 "Adana" -.17585197 2 1999 "Adiyaman" -.17585197 2 2000 "Adiyaman" -.17585197 2 2001 "Adiyaman" -.17585197 2 2002 "Adiyaman" -.17585197 2 2003 "Adiyaman" -.17585197 2 2004 "Adiyaman" -.17585197 2 2005 "Adiyaman" -.17585197 2 2006 "Adiyaman" -.17585197 2 2007 "Adiyaman" -.17585197 2 2008 "Adiyaman" -.17585197 2 2009 "Adiyaman" -.17585197 2 2010 "Adiyaman" -.17585197 2 2011 "Adiyaman" -.17585197 2 2012 "Adiyaman" .10755357 2 2013 "Adiyaman" .7510749 2 2014 "Adiyaman" .4379744 2 2015 "Adiyaman" .5134343 2 2016 "Adiyaman" .5564089 2 2017 "Adiyaman" .6446755 2 2018 "Adiyaman" -.17585197 3 1999 "Afyon" -.17585197 3 2000 "Afyon" -.17585197 3 2001 "Afyon" -.17585197 3 2002 "Afyon" -.17585197 3 2003 "Afyon" -.17585197 3 2004 "Afyon" -.17585197 3 2005 "Afyon" -.17585197 3 2006 "Afyon" -.17585197 3 2007 "Afyon" -.17585197 3 2008 "Afyon" -.17585197 3 2009 "Afyon" -.17585197 3 2010 "Afyon" -.17585197 3 2011 "Afyon" -.17585197 3 2012 "Afyon" -.17585197 3 2013 "Afyon" -.16407438 3 2014 "Afyon" -.10893186 3 2015 "Afyon" -.07736831 3 2016 "Afyon" -.05967875 3 2017 "Afyon" -.035865184 3 2018 "Afyon" -.17585197 4 1999 "Agri" -.17585197 4 2000 "Agri" -.17585197 4 2001 "Agri" -.17585197 4 2002 "Agri" -.17585197 4 2003 "Agri" -.17585197 4 2004 "Agri" -.17585197 4 2005 "Agri" -.17585197 4 2006 "Agri" -.17585197 4 2007 "Agri" -.17585197 4 2008 "Agri" -.17585197 4 2009 "Agri" -.17585197 4 2010 "Agri" -.17585197 4 2011 "Agri" -.17585197 4 2012 "Agri" -.17585197 4 2013 "Agri" -.17282052 4 2014 "Agri" -.15172163 4 2015 "Agri" -.14987245 4 2016 "Agri" -.14529496 4 2017 "Agri" -.14141472 4 2018 "Agri" -.17585197 5 1999 "Amasya" -.17585197 5 2000 "Amasya" -.17585197 5 2001 "Amasya" -.17585197 5 2002 "Amasya" -.17585197 5 2003 "Amasya" -.17585197 5 2004 "Amasya" -.17585197 5 2005 "Amasya" -.17585197 5 2006 "Amasya" -.17585197 5 2007 "Amasya" -.17585197 5 2008 "Amasya" -.17585197 5 2009 "Amasya" -.17585197 5 2010 "Amasya" -.17585197 5 2011 "Amasya" -.17585197 5 2012 "Amasya" -.17585197 5 2013 "Amasya" -.170944 5 2014 "Amasya" -.16878453 5 2015 "Amasya" -.16520172 5 2016 "Amasya" -.156122 5 2017 "Amasya" -.14787666 5 2018 "Amasya" -.17585197 end
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