Dear Stata Listserv,
I have an unusual data structure where individuals are nested in country-years, which are nested in countries. I’m using individual-level data from the World Values Survey. (Repeated cross-sectional surveys were conducted in countries around the world at various years over the period 1981 to 2014.) To create my dataset, I merged together a country-year dataset -- containing data on countries around the world at all years between 1975 and 2015 -- with an individual-level dataset containing data from the World Values Survey. There are approximately 1,000 individuals per country-year in my dataset. But note that not all country-years have individual-level data (because for most country-years, no WVS survey was conducted). My dependent variable is individual-level attitudes towards homosexuality (hjind). One of my independent variables is GDP per capita (ihmegdp1000), which is measured at the level of the country-year. I’m using Stata 15. Below, country id is represented by the variable S003. Here’s what my three-level mixed effects model looks like:
Here, individuals are nested in country-years, which are nested in countries.
My question: how can I lag GDP per capita by one year (or more)?
When I was working with just country-year data, I could xtset my data (using the command xtset country year) and then use the “L.” prefix to lag my time-varying variables. But Stata won’t let me xtset these data because of the data structure. (The presence of individual-level data for some country years means that there are many duplicate country-years.) Can anyone think of an alternative?
Below, I’m pasting the first 100 or so observations in my dataset. (Note that country id is represented by two variables: S003 and cname. Only cname is available for all observations. S007_01 is the individual id for survey respondents. S017 is the survey weight. Hjind is individual-level attitudes toward homosexuality. ihmegdp1000 is GDP per capita.)
I’d definitely be grateful for your thoughts -- thanks.
Louisa
I have an unusual data structure where individuals are nested in country-years, which are nested in countries. I’m using individual-level data from the World Values Survey. (Repeated cross-sectional surveys were conducted in countries around the world at various years over the period 1981 to 2014.) To create my dataset, I merged together a country-year dataset -- containing data on countries around the world at all years between 1975 and 2015 -- with an individual-level dataset containing data from the World Values Survey. There are approximately 1,000 individuals per country-year in my dataset. But note that not all country-years have individual-level data (because for most country-years, no WVS survey was conducted). My dependent variable is individual-level attitudes towards homosexuality (hjind). One of my independent variables is GDP per capita (ihmegdp1000), which is measured at the level of the country-year. I’m using Stata 15. Below, country id is represented by the variable S003. Here’s what my three-level mixed effects model looks like:
Code:
mixed hjind ihmegdp1000 [w=S017] || S003: || year:
My question: how can I lag GDP per capita by one year (or more)?
When I was working with just country-year data, I could xtset my data (using the command xtset country year) and then use the “L.” prefix to lag my time-varying variables. But Stata won’t let me xtset these data because of the data structure. (The presence of individual-level data for some country years means that there are many duplicate country-years.) Can anyone think of an alternative?
Below, I’m pasting the first 100 or so observations in my dataset. (Note that country id is represented by two variables: S003 and cname. Only cname is available for all observations. S007_01 is the individual id for survey respondents. S017 is the survey weight. Hjind is individual-level attitudes toward homosexuality. ihmegdp1000 is GDP per capita.)
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input double(S003 S007_01 S017) str49 cname float year str34 cname_year float(ihmegdp1000 hjind) . . . "Afghanistan" 1975 "Afghanistan 1975" .7033401 . . . . "Afghanistan" 1976 "Afghanistan 1976" .72165 . . . . "Afghanistan" 1977 "Afghanistan 1977" .67523 . . . . "Afghanistan" 1978 "Afghanistan 1978" .70717 . . . . "Afghanistan" 1979 "Afghanistan 1979" .68529 . . . . "Afghanistan" 1980 "Afghanistan 1980" .67996 . . . . "Afghanistan" 1981 "Afghanistan 1981" .74025 . . . . "Afghanistan" 1982 "Afghanistan 1982" .79604 . . . . "Afghanistan" 1983 "Afghanistan 1983" .833 . . . . "Afghanistan" 1984 "Afghanistan 1984" .8320301 . . . . "Afghanistan" 1985 "Afghanistan 1985" .82116 . . . . "Afghanistan" 1986 "Afghanistan 1986" .85157 . . . . "Afghanistan" 1987 "Afghanistan 1987" .7666 . . . . "Afghanistan" 1988 "Afghanistan 1988" .70508 . . . . "Afghanistan" 1989 "Afghanistan 1989" .65608 . . . . "Afghanistan" 1990 "Afghanistan 1990" .62829 . . . . "Afghanistan" 1991 "Afghanistan 1991" .58427 . . . . "Afghanistan" 1992 "Afghanistan 1992" .55779 . . . . "Afghanistan" 1993 "Afghanistan 1993" .42187 . . . . "Afghanistan" 1994 "Afghanistan 1994" .33727 . . . . "Afghanistan" 1995 "Afghanistan 1995" .45041 . . . . "Afghanistan" 1996 "Afghanistan 1996" .43368 . . . . "Afghanistan" 1997 "Afghanistan 1997" .44256 . . . . "Afghanistan" 1998 "Afghanistan 1998" .43002 . . . . "Afghanistan" 1999 "Afghanistan 1999" .41777 . . . . "Afghanistan" 2000 "Afghanistan 2000" .40621 . . . . "Afghanistan" 2001 "Afghanistan 2001" .38704 . . . . "Afghanistan" 2002 "Afghanistan 2002" .56914 . . . . "Afghanistan" 2003 "Afghanistan 2003" .61988 . . . . "Afghanistan" 2004 "Afghanistan 2004" .6378 . . . . "Afghanistan" 2005 "Afghanistan 2005" .70442 . . . . "Afghanistan" 2006 "Afghanistan 2006" .74301 . . . . "Afghanistan" 2007 "Afghanistan 2007" .77456 . . . . "Afghanistan" 2008 "Afghanistan 2008" .86593 . . . . "Afghanistan" 2009 "Afghanistan 2009" 1.0738001 . . . . "Afghanistan" 2010 "Afghanistan 2010" 1.1336601 . . . . "Afghanistan" 2011 "Afghanistan 2011" 1.1772801 . . . . "Afghanistan" 2012 "Afghanistan 2012" 1.22506 . . . . "Afghanistan" 2013 "Afghanistan 2013" 1.26855 . . . . "Afghanistan" 2014 "Afghanistan 2014" . . . . . "Afghanistan" 2015 "Afghanistan 2015" . . . . . "Albania" 1975 "Albania 1975" 3.36259 . . . . "Albania" 1976 "Albania 1976" 3.41112 . . . . "Albania" 1977 "Albania 1977" 3.46041 . . . . "Albania" 1978 "Albania 1978" 3.51776 . . . . "Albania" 1979 "Albania 1979" 3.56712 . . . . "Albania" 1980 "Albania 1980" 3.62129 . . . . "Albania" 1981 "Albania 1981" 3.74575 . . . . "Albania" 1982 "Albania 1982" 3.77188 . . . . "Albania" 1983 "Albania 1983" 3.74743 . . . . "Albania" 1984 "Albania 1984" 3.6834 . . . . "Albania" 1985 "Albania 1985" 3.62464 . . . . "Albania" 1986 "Albania 1986" 3.74592 . . . . "Albania" 1987 "Albania 1987" 3.64367 . . . . "Albania" 1988 "Albania 1988" 3.51585 . . . . "Albania" 1989 "Albania 1989" 3.77471 . . . . "Albania" 1990 "Albania 1990" 3.39467 . . . . "Albania" 1991 "Albania 1991" 2.5573 . . . . "Albania" 1992 "Albania 1992" 2.45344 . . . . "Albania" 1993 "Albania 1993" 2.65589 . . . . "Albania" 1994 "Albania 1994" 2.88165 . . . . "Albania" 1995 "Albania 1995" 3.17665 . . . . "Albania" 1996 "Albania 1996" 3.47847 . . . . "Albania" 1997 "Albania 1997" 3.12523 . 8 80360847 1 "Albania" 1998 "Albania 1998" 3.52371 2 8 80360400 1 "Albania" 1998 "Albania 1998" 3.52371 1 8 80360338 1 "Albania" 1998 "Albania 1998" 3.52371 1 8 80360038 1 "Albania" 1998 "Albania 1998" 3.52371 4 8 80360669 1 "Albania" 1998 "Albania 1998" 3.52371 1 8 80360429 1 "Albania" 1998 "Albania 1998" 3.52371 3 8 80360613 1 "Albania" 1998 "Albania 1998" 3.52371 5 8 80360545 1 "Albania" 1998 "Albania 1998" 3.52371 1 8 80360779 1 "Albania" 1998 "Albania 1998" 3.52371 1 8 80360023 1 "Albania" 1998 "Albania 1998" 3.52371 1 8 80360221 1 "Albania" 1998 "Albania 1998" 3.52371 1 8 80360799 1 "Albania" 1998 "Albania 1998" 3.52371 7 8 80360584 1 "Albania" 1998 "Albania 1998" 3.52371 1 8 80360982 1 "Albania" 1998 "Albania 1998" 3.52371 1 8 80360441 1 "Albania" 1998 "Albania 1998" 3.52371 . 8 80360094 1 "Albania" 1998 "Albania 1998" 3.52371 1 8 80360167 1 "Albania" 1998 "Albania 1998" 3.52371 1 8 80360920 1 "Albania" 1998 "Albania 1998" 3.52371 1 8 80360106 1 "Albania" 1998 "Albania 1998" 3.52371 2 8 80360854 1 "Albania" 1998 "Albania 1998" 3.52371 1 8 80360728 1 "Albania" 1998 "Albania 1998" 3.52371 . 8 80360130 1 "Albania" 1998 "Albania 1998" 3.52371 1 8 80360850 1 "Albania" 1998 "Albania 1998" 3.52371 2 8 80360386 1 "Albania" 1998 "Albania 1998" 3.52371 1 8 80360358 1 "Albania" 1998 "Albania 1998" 3.52371 1 8 80360058 1 "Albania" 1998 "Albania 1998" 3.52371 1 8 80360388 1 "Albania" 1998 "Albania 1998" 3.52371 4 8 80360223 1 "Albania" 1998 "Albania 1998" 3.52371 1 8 80360926 1 "Albania" 1998 "Albania 1998" 3.52371 1 8 80360941 1 "Albania" 1998 "Albania 1998" 3.52371 1 8 80360398 1 "Albania" 1998 "Albania 1998" 3.52371 1 8 80360074 1 "Albania" 1998 "Albania 1998" 3.52371 4 8 80360294 1 "Albania" 1998 "Albania 1998" 3.52371 1 8 80360496 1 "Albania" 1998 "Albania 1998" 3.52371 1 8 80360888 1 "Albania" 1998 "Albania 1998" 3.52371 . 8 80360201 1 "Albania" 1998 "Albania 1998" 3.52371 2 end label values S003 S003 label def S003 8 "Albania", modify label values S007_01 S007_01 label values S017 S017 label def S017 1 "No weighting", modify
Louisa
Comment