Hey guys. I'm using AidDatas dataset on Chinese foreign aid. The dataset contains around 13.000 observations on donations/projects/investments in the 2000-2017 period. I would like to look at the total amount of donations (in USD) by country in the period. I guess what i want is to combine the total amount, in USD, of donations by country instead of having, for example, 200 single observations for a given country with each observation having it's own USD value.
I'm not sure if it's relevant but the variable for the donations in USD looks like this when using dataex:
clear
input double AmountConstantUSD2017
2015410.8121677
.
1000000
2663728.10772083
.
.
1000000
73992447.4366898
50000000
501868.162854889
.
.
.
7399244.74366898
2.500e+08
4000000
3000000
371410.238193509
148464.406297997
148464.406297997
1485898.06914626
29596978.9746759
30000000
5000000
60000000
.
1.000e+09
1.000e+09
405053533
65300000
35300000
7399244.74366898
.
.
30000
.
.
.
.
.
3.760e+08
38000000
28000000
.
175000
.
.
.
.
2000000
1.500e+08
50000000
.
36250000
2.200e+09
3.315e+08
.
3.000e+08
.
3.473e+08
166764178.032811
.
9600000
1.000e+08
73330000
18000000
14798489.4873379
.
.
.
5150000
.
.
3341498.92624091
4.600e+08
.
.
21430000
.
50000
84301667.153149
.
752790000
73992447.4366898
467840000
.
.
.
.
.
.
151548381.710071
1.750e+09
59180000
82871.5411290926
.
4000000
3036500
4500000
.
end
Feel free to ask clarifying questions and i'll answer them as good as i can.
I'm not sure if it's relevant but the variable for the donations in USD looks like this when using dataex:
clear
input double AmountConstantUSD2017
2015410.8121677
.
1000000
2663728.10772083
.
.
1000000
73992447.4366898
50000000
501868.162854889
.
.
.
7399244.74366898
2.500e+08
4000000
3000000
371410.238193509
148464.406297997
148464.406297997
1485898.06914626
29596978.9746759
30000000
5000000
60000000
.
1.000e+09
1.000e+09
405053533
65300000
35300000
7399244.74366898
.
.
30000
.
.
.
.
.
3.760e+08
38000000
28000000
.
175000
.
.
.
.
2000000
1.500e+08
50000000
.
36250000
2.200e+09
3.315e+08
.
3.000e+08
.
3.473e+08
166764178.032811
.
9600000
1.000e+08
73330000
18000000
14798489.4873379
.
.
.
5150000
.
.
3341498.92624091
4.600e+08
.
.
21430000
.
50000
84301667.153149
.
752790000
73992447.4366898
467840000
.
.
.
.
.
.
151548381.710071
1.750e+09
59180000
82871.5411290926
.
4000000
3036500
4500000
.
end
Feel free to ask clarifying questions and i'll answer them as good as i can.

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