Dear all,
I have the following data and want to generate a new policy variable weighted by the variables p_age and CumP_age. For example, for observation 1, the variable I want to generate looks like this:policy1989*CumP_age15+policy1990*p_age16+policy199 1*p_age17+…policy2010*p_age36
| ID | age | year | policy1963 | policy1964 | policy1965 | … | policy2010 | p_age15 | p_age16 | p_age17 | … | p_age49 | CumP_age15 | CumP_age16 | CumP_age17 | … | CumP_age49 |
| 1 | 15 | 1989 | 4 | 4 | 4 | 4 | 0.0029 | 0.0031 | 0.0055 | 0.0006 | 0.003 | 0.006 | 0.012 | 1.000 | |||
| 2 | 16 | 1991 | 4 | 4 | 3 | 4 | 0.0029 | 0.0031 | 0.0055 | 0.0006 | 0.003 | 0.006 | 0.012 | 1.000 | |||
| 3 | 15 | 1992 | 4 | 4 | 4 | 4 | 0.0029 | 0.0031 | 0.0055 | 0.0006 | 0.003 | 0.006 | 0.012 | 1.000 | |||
| 4 | 22 | 1990 | 4 | 2 | 4 | 4 | 0.0029 | 0.0031 | 0.0055 | 0.0006 | 0.003 | 0.006 | 0.012 | 1.000 | |||
| 5 | 22 | 1988 | 4 | 4 | 3 | 4 | 0.0029 | 0.0031 | 0.0055 | 0.0006 | 0.003 | 0.006 | 0.012 | 1.000 | |||
| 6 | 25 | 1981 | 4 | 4 | 4 | 4 | 0.0029 | 0.0031 | 0.0055 | 0.0006 | 0.003 | 0.006 | 0.012 | 1.000 | |||
| … | 23 | 1982 | 4 | 4 | 4 | 4 | 0.0029 | 0.0031 | 0.0055 | 0.0006 | 0.003 | 0.006 | 0.012 | 1.000 | |||
| 10,067 | 32 | 1980 | 4 | 4 | 2 | 4 | 0.0029 | 0.0031 | 0.0055 | 0.0006 | 0.003 | 0.006 | 0.012 | 1.000 |
I wrote a looping command as below to do this. I put two parallel loops together. Levels and counters are set as the start of looping depends on the two variables “age”and “year. The results are as below. However, it looks obviously wrong to me as the new variable only has ten unique values. I suspect the levelsof are set wrong since levels should be different for each observation. I also need the loop to end at age 49 and whatever year is is when the observation is 49, which I believe the below commands are doing. Any suggestions or maybe other ways to do this?
. levelsof age, local(levels)
15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49
. levelsof year, local(levels2)
1900 1921 1922 1924 1925 1926 1927 1928 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 1943 19
> 44 1945 1946 1947 1948 1949 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 19
> 66 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 19
> 88 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2009 2010
.
. local counter1 = age
. local counter2= year
. local counter3 = age+1
. local counter4= year+1
.
. gen policynew=.
(10,067 missing values generated)
.
. * begin looping through the values of the by category
. foreach l of local levels {
2. foreach l of local levels2 {
3. replace policynew= policy`counter2' * CumP_age`counter1'+policy`counter4' * P_age`counter3'
4. local counter3= `counter3' + 1
5. local counter4= `counter4' + 1
6. }
7. }
(10,067 real changes made)
(10,067 real changes made)
(10,067 real changes made)
(10,067 real changes made)
(10,067 real changes made)
(10,067 real changes made)
(10,067 real changes made)
(10,067 real changes made)
(10,067 real changes made)
(10,067 real changes made)
(10,067 real changes made)
(10,067 real changes made)
(10,067 real changes made)
(10,067 real changes made)
(10,067 real changes made)
(10,067 real changes made)
(10,067 real changes made)
(10,067 real changes made)
(10,067 real changes made)
(10,067 real changes made)
(10,067 real changes made)
(10,067 real changes made)
fpp_2011_ not found
r(111);
end of do-file
r(111);
. tab policynew
policynew | Freq. Percent Cum.
------------+-----------------------------------
.3038127 | 879 8.73 8.73
.305651 | 25 0.25 8.98
.6076253 | 846 8.40 17.38
.9077612 | 16 0.16 17.54
.9095995 | 23 0.23 17.77
.9114379 | 219 2.18 19.95
1.209735 | 516 5.13 25.07
1.211574 | 1,540 15.30 40.37
1.213412 | 248 2.46 42.83
1.215251 | 5,755 57.17 100.00
------------+----------------------------------- Total | 10,067 100.00
Warm regards,
Li
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