Stata - 来自列数据的面板数据

Question

面板数据新手在这里！我在Stata中有以下格式的数据：

Name    Company1    Company2    Company3    Company4    Company5    Company6
1985    6.0781      2.4766  1.4258  2.6508  13.2083
1986    6.4844      3.0938  2.1953  3.1351  15.7917
1987    10.1563 .2769   5.7109  3.6406  4.4058  15.5833
1988    10.4688 .4219   5.125   3.75    3.6767  8.1667
1989    11.0625 .4289   5.4453  3.9844  3.7288  10.25
1990    11.6875 .7206   6.875   5.6406  5.1974  8.6667
1991    13.6563 1.4863  10.1406 8.9687  5.6869  5.7083
1992    13.75   2.5522  12.2187 13  6.4681  10.875
1993    16.0938 2.6172  10.3437 16.4375 7.0826  13.6667
1994    16.3125 2.5313  9.9375  14  8.7387  12.125
1995    15.8125 3.9766  14.4375 12.5    8.8324  13.2083

我知道我通常不得不以某种方式使用reshape命令，但我不确定如何。我试试

reshape wide Name, i(Name) j(Name)

显然失败了

(note: j = 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2
> 007 2008 2009 2010 2011 2012 2013 2014 2015)
no variables defined
r(111);

CompanyNumber（Number1,2,3,4,5,6）将是面板数据中使用的ID，年份将分别是每个公司的时间。

任何想法如何reshape或者这些数据是否采用适当的面板数据格式？

我的数据在Stata中的实际情况如何

我尝试运行nick cox代码时遇到的错误：

Answer 1

你的沙箱数据有隐含的缺失值，所以前两行被省略了我读到的方式。我认为这是偶然的。正如@Roberto Ferrer清楚解释的那样，这是一个（完全标准的）reshape long。

clear 
input Name    Company1    Company2    Company3    Company4    Company5    Company6
1985    6.0781      2.4766  1.4258  2.6508  13.2083
1986    6.4844      3.0938  2.1953  3.1351  15.7917
1987    10.1563 .2769   5.7109  3.6406  4.4058  15.5833
1988    10.4688 .4219   5.125   3.75    3.6767  8.1667
1989    11.0625 .4289   5.4453  3.9844  3.7288  10.25
1990    11.6875 .7206   6.875   5.6406  5.1974  8.6667
1991    13.6563 1.4863  10.1406 8.9687  5.6869  5.7083
1992    13.75   2.5522  12.2187 13  6.4681  10.875
1993    16.0938 2.6172  10.3437 16.4375 7.0826  13.6667
1994    16.3125 2.5313  9.9375  14  8.7387  12.125
1995    15.8125 3.9766  14.4375 12.5    8.8324  13.2083
end 
reshape long Company, i(Name) 
rename (Company Name _j) (whatever year company) 
sort company year
list , sepby(company)


     +---------------------------+
     | year   company   whatever |
     |---------------------------|
  1. | 1987         1    10.1563 |
  2. | 1988         1    10.4688 |
  3. | 1989         1    11.0625 |
  4. | 1990         1    11.6875 |
  5. | 1991         1    13.6563 |
  6. | 1992         1      13.75 |
  7. | 1993         1    16.0938 |
  8. | 1994         1    16.3125 |
  9. | 1995         1    15.8125 |
     |---------------------------|
 10. | 1987         2      .2769 |
 11. | 1988         2      .4219 |
 12. | 1989         2      .4289 |
 13. | 1990         2      .7206 |
 14. | 1991         2     1.4863 |
 15. | 1992         2     2.5522 |
 16. | 1993         2     2.6172 |
 17. | 1994         2     2.5313 |
 18. | 1995         2     3.9766 |
     |---------------------------|
 19. | 1987         3     5.7109 |
 20. | 1988         3      5.125 |
 21. | 1989         3     5.4453 |
 22. | 1990         3      6.875 |
 23. | 1991         3    10.1406 |
 24. | 1992         3    12.2187 |
 25. | 1993         3    10.3437 |
 26. | 1994         3     9.9375 |
 27. | 1995         3    14.4375 |
     |---------------------------|
 28. | 1987         4     3.6406 |
 29. | 1988         4       3.75 |
 30. | 1989         4     3.9844 |
 31. | 1990         4     5.6406 |
 32. | 1991         4     8.9687 |
 33. | 1992         4         13 |
 34. | 1993         4    16.4375 |
 35. | 1994         4         14 |
 36. | 1995         4       12.5 |
     |---------------------------|
 37. | 1987         5     4.4058 |
 38. | 1988         5     3.6767 |
 39. | 1989         5     3.7288 |
 40. | 1990         5     5.1974 |
 41. | 1991         5     5.6869 |
 42. | 1992         5     6.4681 |
 43. | 1993         5     7.0826 |
 44. | 1994         5     8.7387 |
 45. | 1995         5     8.8324 |
     |---------------------------|
 46. | 1987         6    15.5833 |
 47. | 1988         6     8.1667 |
 48. | 1989         6      10.25 |
 49. | 1990         6     8.6667 |
 50. | 1991         6     5.7083 |
 51. | 1992         6     10.875 |
 52. | 1993         6    13.6667 |
 53. | 1994         6     12.125 |
 54. | 1995         6    13.2083 |
     +---------------------------+