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  • How to create control group against fraud firms?

    Dear all,
    I want to create a control sample of non-fraud firms against firms that committed fraud. I want the matching based on the firm's assets (at). Since the year of fraud for every firm is different, I don't know how can I create a control sample for the fraud firms. Kindly guide with the data below:
    * Example generated by -dataex-. To install: ssc install dataex
    clear
    input double at float fraud_year double fyear
    32.335 . 1990
    35.559 . 1991
    41.976 . 1992
    63.997 . 1993
    93.811 . 1994
    91072 . 1999
    12.854 . 1990
    16.243 . 1991
    18.686 . 1992
    18.293 . 1993
    17.965 . 1994
    17.851 . 1995
    17.215 . 1996
    18.315 . 1997
    20.417 . 1998
    22.774 1 1999
    21.473 . 2000
    22.219 . 2001
    17.269 . 2002
    18.985 . 2003
    18.463 . 2004
    20.212 . 2005
    17.735 . 2006
    21.38 . 2007
    17.761 . 2008
    21.476 . 2009
    89300.7 . 1990
    91987.6 . 1991
    89928.2 . 1992
    100036.7 . 1993
    94172.5 . 1994
    84323.7 . 1995
    92912.9 . 1996
    96000.6 . 1997
    105148.1 . 1998
    112839 . 1999
    47445.7 . 2000
    43255.1 . 2001
    40047.5 . 2002
    40950.2 . 2003
    42133.7 . 2004
    44364.6 . 2005
    47626.4 . 2006
    50724.7 . 2007
    35852.5 . 2008
    38550.4 . 2009
    2835 . 1990
    2767.2 . 1991
    2642.7 . 1992
    2793.8 . 1993
    2945.7 . 1994
    2942.4 . 1995
    781.415 . 1990
    859.281 . 1991
    1092.076 . 1992
    1006.126 . 1993
    1112.929 . 1994
    1158.684 . 1995
    1072.709 1 1996
    1058.928 . 1997
    3405.517 . 1998
    3132.349 . 1999
    2.458 . 1990
    1.817 . 1991
    28.972 . 1992
    21.769 . 1993
    16.812 . 1994
    137682 . 1990
    146441 . 1991
    175752 . 1992
    94132 . 1993
    97006 . 1994
    107405 . 1995
    108512 . 1996
    120003 . 1997
    126933 . 1998
    148517 . 1999
    154423 . 2000
    151100 . 2001
    157253 . 2002
    175001 . 2003
    192638 . 2004
    113960 . 2005
    127853 . 2006
    149830 . 2007
    126074 . 2008
    124088 . 2009
    58143.112 . 1990
    69389.468 . 1991
    79835.182 . 1992
    101014.848 . 1993
    114346.117 . 1994
    134136.398 . 1995
    148431.002 . 1996
    163970.687 . 1997
    194398 . 1998
    268238 . 1999
    306577 1 2000
    492982 . 2001
    561229 . 2002
    end
    [/CODE]

  • #2
    I'm confused. Let's back up for a moment. Explain the research question and dataset.

    Comment

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