Dear stata users,
I am searching for the right regression method for my panel data. As I am new to stata, it is not that easy for me to find the right solutions for my problems.
Suppose, I use the data set Grunfeld (balance data panel) and create 1 more dummy variable group (taken randomly with the value 1,2,3).
Now, I want to regression with the groups but I have the data set unbalanced. Thus, how can I resolve my problem?
It would be a pleasure, if you could help me, since I haven't found any solution.
Best Regards,
I am searching for the right regression method for my panel data. As I am new to stata, it is not that easy for me to find the right solutions for my problems.
FIRM | YEAR | I | F | C | Group |
1 | 1935 | 317.6 | 3078.5 | 2.8 | 1 |
1 | 1936 | 391.8 | 4661.7 | 52.6 | 3 |
1 | 1937 | 410.6 | 5387.1 | 156.9 | 2 |
1 | 1938 | 257.7 | 2792.2 | 209.2 | 1 |
1 | 1939 | 330.8 | 4313.2 | 203.4 | 3 |
1 | 1940 | 461.2 | 4643.9 | 207.2 | 1 |
2 | 1935 | 209.9 | 1362.4 | 53.8 | 1 |
2 | 1936 | 355.3 | 1807.1 | 50.5 | 3 |
2 | 1937 | 469.9 | 2676.3 | 118.1 | 2 |
2 | 1938 | 262.3 | 1801.9 | 260.2 | 3 |
2 | 1939 | 230.4 | 1957.3 | 312.7 | 2 |
2 | 1940 | 361.6 | 2202.9 | 254.2 | 3 |
3 | 1935 | 33.1 | 1170.6 | 97.8 | 1 |
3 | 1936 | 45 | 2015.8 | 104.4 | 3 |
3 | 1937 | 77.2 | 2803.3 | 118 | 2 |
3 | 1938 | 44.6 | 2039.7 | 156.2 | 3 |
3 | 1939 | 48.1 | 2256.2 | 172.6 | 1 |
3 | 1940 | 74.4 | 2132.2 | 186.6 | 1 |
4 | 1935 | 40.29 | 417.5 | 10.5 | 2 |
4 | 1936 | 72.76 | 837.8 | 10.2 | 3 |
4 | 1937 | 66.26 | 883.9 | 34.7 | 3 |
4 | 1938 | 51.6 | 437.9 | 51.8 | 3 |
4 | 1939 | 52.41 | 679.7 | 64.3 | 3 |
4 | 1940 | 69.41 | 727.8 | 67.1 | 1 |
5 | 1935 | 39.68 | 157.7 | 183.2 | 3 |
5 | 1936 | 50.73 | 167.9 | 204 | 1 |
5 | 1937 | 74.24 | 192.9 | 236 | 3 |
5 | 1938 | 53.51 | 156.7 | 291.7 | 1 |
5 | 1939 | 42.65 | 191.4 | 323.1 | 3 |
5 | 1940 | 46.48 | 185.5 | 344 | 1 |
Now, I want to regression with the groups but I have the data set unbalanced. Thus, how can I resolve my problem?
FIRM | YEAR | I | F | C | Group |
1 | 1935 | 317.6 | 3078.5 | 2.8 | 1 |
1 | 1938 | 257.7 | 2792.2 | 209.2 | 1 |
1 | 1940 | 461.2 | 4643.9 | 207.2 | 1 |
2 | 1935 | 209.9 | 1362.4 | 53.8 | 1 |
3 | 1935 | 33.1 | 1170.6 | 97.8 | 1 |
3 | 1939 | 48.1 | 2256.2 | 172.6 | 1 |
3 | 1940 | 74.4 | 2132.2 | 186.6 | 1 |
4 | 1940 | 69.41 | 727.8 | 67.1 | 1 |
5 | 1936 | 50.73 | 167.9 | 204 | 1 |
5 | 1938 | 53.51 | 156.7 | 291.7 | 1 |
5 | 1940 | 46.48 | 185.5 | 344 | 1 |
1 | 1937 | 410.6 | 5387.1 | 156.9 | 2 |
2 | 1937 | 469.9 | 2676.3 | 118.1 | 2 |
2 | 1939 | 230.4 | 1957.3 | 312.7 | 2 |
3 | 1937 | 77.2 | 2803.3 | 118 | 2 |
4 | 1935 | 40.29 | 417.5 | 10.5 | 2 |
1 | 1936 | 391.8 | 4661.7 | 52.6 | 3 |
1 | 1939 | 330.8 | 4313.2 | 203.4 | 3 |
2 | 1936 | 355.3 | 1807.1 | 50.5 | 3 |
2 | 1938 | 262.3 | 1801.9 | 260.2 | 3 |
2 | 1940 | 361.6 | 2202.9 | 254.2 | 3 |
3 | 1936 | 45 | 2015.8 | 104.4 | 3 |
3 | 1938 | 44.6 | 2039.7 | 156.2 | 3 |
4 | 1936 | 72.76 | 837.8 | 10.2 | 3 |
4 | 1937 | 66.26 | 883.9 | 34.7 | 3 |
4 | 1938 | 51.6 | 437.9 | 51.8 | 3 |
4 | 1939 | 52.41 | 679.7 | 64.3 | 3 |
5 | 1935 | 39.68 | 157.7 | 183.2 | 3 |
5 | 1937 | 74.24 | 192.9 | 236 | 3 |
5 | 1939 | 42.65 | 191.4 | 323.1 | 3 |
Best Regards,
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