Summary statistics for enfrep2017 dataset :

by Jean Roth , jroth@nber.org , 28 Dec 2017

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
 producttype |          0
     eventid |      7,416    76887.97    1182.545      64220      78798
      status |          0
recallingf~m |          0
    address1 |          0
-------------+---------------------------------------------------------
    address2 |          0
        city |          0
stateprovi~e |          0
  postalcode |          0
     country |          0
-------------+---------------------------------------------------------
voluntarym~d |          0
initialfir~n |          0
distributi~n |          0
recallnumber |          0
classifica~n |          0
-------------+---------------------------------------------------------
productdes~n |          0
productqua~y |          0
reasonforr~l |          0
centerclas~e |          0
terminatio~e |          0
-------------+---------------------------------------------------------
    codeinfo |          0
recallinit~e |      7,416    20879.61    215.7404      17687      21171
recallinit~r |          0
  reportdate |      7,416    20981.69    99.61681      20823      21180
reportdate~r |          0
-------------+---------------------------------------------------------
morecodei~o1 |          0
morecodei~o2 |          0
morecodei~o3 |          0
morecodei~o4 |          0
morecodei~o5 |          0
-------------+---------------------------------------------------------
morecodei~o6 |          0
morecodei~o7 |          0
morecodei~o8 |          0
morecodei~o9 |          0
morecodei~10 |          0
-------------+---------------------------------------------------------
morecodei~11 |          0
morecodei~12 |          0
morecodei~13 |          0
morecodei~14 |          0
morecodei~15 |          0
-------------+---------------------------------------------------------
morecodei~16 |          0
morecodei~17 |          0
morecodei~18 |          0
morecodei~19 |          0
morecodei~20 |          0
-------------+---------------------------------------------------------
morecodei~21 |          0
morecodei~22 |          0
morecodei~23 |          0
morecodei~24 |          0
morecodei~25 |          0
-------------+---------------------------------------------------------
morecodei~26 |          0
morecodei~27 |          0
morecodei~28 |          0
morecodei~29 |          0
morecodei~30 |          0
-------------+---------------------------------------------------------
morecodei~31 |          0
morecodei~32 |          0
morecodei~33 |          0
morecodei~34 |          0
morecodei~35 |          0
-------------+---------------------------------------------------------
morecodei~36 |          0
morecodei~37 |          0
morecodei~38 |          0
morecodei~39 |          0
morecodei~40 |          0
-------------+---------------------------------------------------------
morecodei~41 |          0
morecodei~42 |          0
morecodei~43 |          0
morecodei~44 |          0
morecodei~45 |          0
-------------+---------------------------------------------------------
morecodei~46 |          0
morecodei~47 |          0
morecodei~48 |          0
morecodei~49 |          0
morecodei~50 |          0
-------------+---------------------------------------------------------
morecodei~51 |          0
morecodei~52 |          0
morecodei~53 |          0
morecodei~54 |          0
morecodei~55 |          0
-------------+---------------------------------------------------------
morecodei~56 |          0

by Jean Roth , jroth@nber.org , 28 Dec 2017