你先看duplicates 相关选项
这是帮你检查是不是有重复的样本的
如果没有才能一一对应进行合并,
那个cv数据我下载不了,无法帮你验证是否有问题
Title
    [D] duplicates -- Report, tag, or drop duplicate observations
Syntax
    Report duplicates
        duplicates report [varlist] [if] [in]
    List one example for each group of duplicates
        duplicates examples [varlist] [if] [in] [, options]
    List all duplicates
        duplicates list [varlist] [if] [in] [, options]
    Tag duplicates
        duplicates tag [varlist] [if] [in] , generate(newvar)
    Drop duplicates
        duplicates drop [if] [in]
        duplicates drop varlist [if] [in] , force
    options                  Description
    --------------------------------------------------------------------------------------------------
    Main
      compress               compress width of columns in both table and display formats
      nocompress             use display format of each variable
      fast                   synonym for nocompress; no delay in output of large datasets
      abbreviate(#)          abbreviate variable names to # characters; default is ab(8)
      string(#)              truncate string variables to # characters; default is string(10)
    Options
      table                  force table format
      display                force display format
      header                 display variable header once; default is table mode
      noheader               suppress variable header
      header(#)              display variable header every # lines
      clean                  force table format with no divider or separator lines
      divider                draw divider lines between columns
      separator(#)           draw a separator line every # lines; default is separator(5)
      sepby(varlist)         draw a separator line whenever varlist values change
      nolabel                display numeric codes rather than label values
    Summary
      mean[(varlist)]        add line reporting the mean for each of the (specified) variables
      sum[(varlist)]         add line reporting the sum for each of the (specified) variables
      N[(varlist)]           add line reporting the number of nonmissing values for each of the
                               (specified) variables
      labvar(varname)        substitute Mean, Sum, or N for varname in last row of table
    Advanced
      constant[(varlist)]    separate and list variables that are constant only once
      notrim                 suppress string trimming
      absolute               display overall observation numbers when using by varlist:
      nodotz                 display numerical values equal to .z as field of blanks
      subvarname             substitute characteristic for variable name in header
      linesize(#)            columns per line; default is linesize(79)
    --------------------------------------------------------------------------------------------------
Menu
    Data > Data utilities > Manage duplicate observations
Description
    duplicates reports, displays, lists, tags, or drops duplicate observations, depending on the
    subcommand specified.  Duplicates are observations with identical values either on all variables
    if no varlist is specified or on a specified varlist.
    duplicates report produces a table showing observations that occur as one or more copies and
    indicating how many observations are "surplus" in the sense that they are the second (third, ...)
    copy of the first of each group of duplicates.
    duplicates examples lists one example for each group of duplicated observations.  Each example
    represents the first occurrence of each group in the dataset.
    duplicates list lists all duplicated observations.
    duplicates tag generates a variable representing the number of duplicates for each observation.
    This will be 0 for all unique observations.
    duplicates drop drops all but the first occurrence of each group of duplicated observations.  The
    word drop may not be abbreviated.
    Any observations that do not satisfy specified if and/or in conditions are ignored when you use
    report, examples, list, or drop.  The variable created by tag will have missing values for such
    observations.