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
