Hi all,
I currently have a data set that looks like this where each quarter is represented by a seperate variable and contains values of trade balances (simple values have been put in for example)
naic |
year |
q1 |
q2 |
q3 |
q4 |
321111 |
1997 |
5 |
9 |
4 |
2 |
393333 |
1998 |
4 |
10 |
4 |
1 |
I want to join this with a data set that contains the same naic numbers and the same years but quarter is its own variable (this set contains other variables of industry characteristics- M Y and K)
naic |
year |
M |
Y |
K |
qtr |
321111 |
1997 |
46 |
45 |
55 |
1 |
321111 |
1997 |
29 |
45 |
44 |
2 |
321111 |
1997 |
34 |
54 |
75 |
3 |
321111 |
1997 |
23 |
34 |
53 |
4 |
321111 |
1998 |
54 |
44 |
43 |
1 |
I want to join these data sets, preferably so the first takes the form of the second with qtr as one variable taking on the sequence of values 1 2 3 4 (essentially want the last 4 columns of the first table to be in one column and hence to expand the observations for each naic code by 4 whilst keeping the values for each quarter)
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