dear all,
i have to perform panel data regression with industry-fixed effects.
my sample is having cross-section of companies and time series of years. moreover, industry classification of each company is also mentioned in the data set.
the format of my data set is as follows.
| company_name | year | industry_code | y | x1 | x2 | x3 |
| 20 Microns Ltd | 2011 | 1 | 956.5 | 69.8 | 610.1 | 542.7 |
| 20 Microns Ltd. | 2012 | 1 | 82.3 | 5.1 | 142.8 | 281.8 |
| 20 Microns Ltd. | 2013 | 1 | -25.3 | -38.2 | -98.7 | 123 |
| 20 Microns Ltd. | 2014 | 1 | 413.7 | 26.1 | 130.4 | 65.8 |
| 7Seas Entertainment Ltd. | 2011 | 2 | -121.2 | 100.9 | -96.5 | 88 |
| 7Seas Entertainment Ltd. | 2012 | 2 | -20.9 | -80.7 | 18.6 | 246 |
| 7Seas Entertainment Ltd. | 2013 | 2 | -20.9 | -80.7 | 18.6 | 246 |
| 7Seas Entertainment Ltd. | 2014 | 2 | -2.8 | -21.8 | -104.8 | 41.4 |
| 7Seas Entertainment Ltd. | 2015 | 2 | 7871.9 | 1086.5 | 5092.9 | 5177.8 |
| A B B India Ltd. | 2011 | 3 | -5687.4 | -686 | -4771.1 | 1111.3 |
| A B B India Ltd. | 2012 | 3 | 678.6 | -263.9 | -134.7 | 657.5 |
| A B B India Ltd. | 2013 | 3 | 3450.1 | 26.3 | 1066.3 | 1654.9 |
| A B B India Ltd. | 2014 | 3 | 1010.7 | -41.6 | 1379.2 | 41.8 |
| A B B India Ltd. | 2015 | 3 | 4309.7 | 88.4 | -2329.2 | 6173.1 |
| 3I Infotech Ltd. | 2011 | 1 | 4309.7 | 88.4 | -2329.2 | 6173.1 |
| 3I Infotech Ltd. | 2012 | 1 | 39.2 | -636 | -20 | 235.2 |
| 3I Infotech Ltd. | 2013 | 1 | 1056.3 | 32.1 | 611.9 | 555.8 |
| 3I Infotech Ltd. | 2014 | 1 | 887.9 | 56.9 | 992.2 | 3359.1 |
| 3I Infotech Ltd. | 2015 | 1 | -174.9 | 1.2 | -519.6 | 232.9 |
| 3I Infotech Ltd. | 2016 | 1 | -828.7 | 542.1 | -1084.5 | 2738.2 |
industry fixed effects is to be estimated based on industry code.
please suggest SAS code
thanks in advance