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[数据管理求助] stata年月日如何转换为年月 [推广有奖]

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boi_Z 发表于 2021-7-12 01:03:09 |AI写论文

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目前有数值型和字符型的年月日数据,也有单独的年和月的数据,但是后期需要用“年月”的数据取滞后项做格兰杰检验,所以求助一个把年月日拆分为年月、或者把单独的年和月合并成年月(可用来做面板,取滞后项)的日期。需要分类的变量为RetHold,其他变量及数据如下,感谢!

  1. * Example generated by -dataex-. To install: ssc install dataex
  2. clear
  3. input str10 trddt float(date year month Rethold)
  4. "2017-01-03" 20822 2017 3 .4745918
  5. "2017-01-04" 20823 2017 3 .4745918
  6. "2017-01-05" 20824 2017 3 .4745918
  7. "2017-01-06" 20825 2017 3 .4745918
  8. "2017-01-09" 20828 2017 3 .4745918
  9. "2017-01-10" 20829 2017 3 .4745918
  10. "2017-01-11" 20830 2017 3 .4745918
  11. "2017-01-13" 20832 2017 3 .4745918
  12. "2017-01-16" 20835 2017 3 .4745918
  13. "2017-01-17" 20836 2017 3 .4745918
  14. "2017-01-18" 20837 2017 3 .4745918
  15. "2017-01-19" 20838 2017 3 .4745918
  16. "2017-01-20" 20839 2017 3 .4745918
  17. "2017-01-23" 20842 2017 3 .4745918
  18. "2017-01-24" 20843 2017 3 .4745918
  19. "2017-01-25" 20844 2017 3 .4745918
  20. "2017-01-26" 20845 2017 3 .4745918
  21. "2017-02-03" 20853 2017 3 .4745918
  22. "2017-02-06" 20856 2017 3 .4745918
  23. "2017-02-07" 20857 2017 3 .4745918
  24. "2017-02-08" 20858 2017 3 .4745918
  25. "2017-02-09" 20859 2017 3 .4745918
  26. "2017-02-10" 20860 2017 3 .4745918
  27. "2017-02-13" 20863 2017 3 .4745918
  28. "2017-02-14" 20864 2017 3 .4745918
  29. "2017-02-15" 20865 2017 3 .4745918
  30. "2017-02-16" 20866 2017 3 .4745918
  31. "2017-02-17" 20867 2017 3 .4745918
  32. "2017-02-20" 20870 2017 3 .4745918
  33. "2017-02-21" 20871 2017 3 .4745918
  34. "2017-02-22" 20872 2017 3 .4745918
  35. "2017-02-23" 20873 2017 3 .4745918
  36. "2017-02-24" 20874 2017 3 .4745918
  37. "2017-02-27" 20877 2017 3 .4745918
  38. "2017-02-28" 20878 2017 3 .4745918
  39. "2017-03-01" 20879 2017 3 .4745918
  40. "2017-03-02" 20880 2017 3 .4745918
  41. "2017-03-03" 20881 2017 3 .4745918
  42. "2017-03-06" 20884 2017 3 .4745918
  43. "2017-03-07" 20885 2017 3 .4745918
  44. "2017-03-08" 20886 2017 3 .4745918
  45. "2017-03-09" 20887 2017 3 .4745918
  46. "2017-03-10" 20888 2017 3 .4745918
  47. "2017-03-13" 20891 2017 3 .4745918
  48. "2017-03-14" 20892 2017 3 .4745918
  49. "2017-03-15" 20893 2017 3 .4745918
  50. "2017-03-16" 20894 2017 3 .4745918
  51. "2017-03-17" 20895 2017 3 .4745918
  52. "2017-03-20" 20898 2017 3 .4745918
  53. "2017-03-21" 20899 2017 3 .4745918
  54. "2017-03-22" 20900 2017 3 .4745918
  55. "2017-03-23" 20901 2017 3 .4745918
  56. "2017-03-24" 20902 2017 3 .4745918
  57. "2017-03-27" 20905 2017 3 .4745918
  58. "2017-03-28" 20906 2017 3 .4745918
  59. "2017-03-29" 20907 2017 3 .4745918
  60. "2017-03-30" 20908 2017 3 .4745918
  61. "2017-03-31" 20909 2017 3 .4745918
  62. "2017-04-05" 20914 2017 6 .3750323
  63. "2017-04-06" 20915 2017 6 .3750323
  64. "2017-04-07" 20916 2017 6 .3750323
  65. "2017-04-10" 20919 2017 6 .3750323
  66. "2017-04-11" 20920 2017 6 .3750323
  67. "2017-04-12" 20921 2017 6 .3750323
  68. "2017-04-13" 20922 2017 6 .3750323
  69. "2017-04-14" 20923 2017 6 .3750323
  70. "2017-04-17" 20926 2017 6 .3750323
  71. "2017-04-18" 20927 2017 6 .3750323
  72. "2017-04-19" 20928 2017 6 .3750323
  73. "2017-04-20" 20929 2017 6 .3750323
  74. "2017-04-21" 20930 2017 6 .3750323
  75. "2017-04-24" 20933 2017 6 .3750323
  76. "2017-04-25" 20934 2017 6 .3750323
  77. "2017-04-26" 20935 2017 6 .3750323
  78. "2017-04-27" 20936 2017 6 .3750323
  79. "2017-04-28" 20937 2017 6 .3750323
  80. "2017-05-02" 20941 2017 6 .3750323
  81. "2017-05-03" 20942 2017 6 .3750323
  82. "2017-05-04" 20943 2017 6 .3750323
  83. "2017-05-05" 20944 2017 6 .3750323
  84. "2017-05-08" 20947 2017 6 .3750323
  85. "2017-05-09" 20948 2017 6 .3750323
  86. "2017-05-10" 20949 2017 6 .3750323
  87. "2017-05-11" 20950 2017 6 .3750323
  88. "2017-05-12" 20951 2017 6 .3750323
  89. "2017-05-15" 20954 2017 6 .3750323
  90. "2017-05-16" 20955 2017 6 .3750323
  91. "2017-05-17" 20956 2017 6 .3750323
  92. "2017-05-18" 20957 2017 6 .3750323
  93. "2017-05-19" 20958 2017 6 .3750323
  94. "2017-05-22" 20961 2017 6 .3750323
  95. "2017-05-23" 20962 2017 6 .3750323
  96. "2017-05-24" 20963 2017 6 .3750323
  97. "2017-05-25" 20964 2017 6 .3750323
  98. "2017-05-26" 20965 2017 6 .3750323
  99. "2017-05-31" 20970 2017 6 .3750323
  100. "2017-06-01" 20971 2017 6 .3750323
  101. "2017-06-02" 20972 2017 6 .3750323
  102. "2017-06-05" 20975 2017 6 .3750323
  103. "2017-06-06" 20976 2017 6 .3750323
  104. end
  105. format %td date
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关键词:Stata tata 年月日 generated generate 日期变量

沙发
黃河泉 在职认证  发表于 2021-7-12 10:56:58
感谢用 dataex 提供数据,请试试
  1. gen wanted1 = mofd(date)
  2. format wanted1 %tm
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藤椅
boi_Z 发表于 2021-7-12 13:31:29
黃河泉 发表于 2021-7-12 10:56
感谢用 dataex 提供数据,请试试
感谢黄老师的帮助!问题已解决~

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GMT+8, 2025-12-9 03:31