Hi all,
I'm working with a dataset that resembles the following:
Where I have industries spanning from 151 to 159, and years spanning from 2001 to 2004 (there can be different observations in the same year for every industry).
I was wondering if there is a way to obtain a table similar to the following:
Where the entries for each industry/year couplet are the average of the corresponding HP measures (for each industry and year).
I tried to use collapse (mean) by Industry, but unfortunately it gives me the average for each industry only, without separating between different years.
Do you have any suggestions?
Thanks in advance for your help.
I'm working with a dataset that resembles the following:
| ID | Year | HP_Measure | Industry |
| 01 | 2001 | 0.021 | 151 |
| 02 | 2003 | 0.034 | 153 |
| 03 | 2002 | 0.045 | 155 |
| 04 | 2004 | 0.161 | 151 |
| ... | ... | ... | ... |
| ... | ... | ... | ... |
Where I have industries spanning from 151 to 159, and years spanning from 2001 to 2004 (there can be different observations in the same year for every industry).
I was wondering if there is a way to obtain a table similar to the following:
| Industry | 2001 | 2002 | 2003 | 2004 |
| 151 | 0.095 | 0.064 | 0.248 | 0.0454 |
| 152 | ... | ... | ... | ... |
| ... | ... | ... | ... | .... |
Where the entries for each industry/year couplet are the average of the corresponding HP measures (for each industry and year).
I tried to use collapse (mean) by Industry, but unfortunately it gives me the average for each industry only, without separating between different years.
Do you have any suggestions?
Thanks in advance for your help.

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