neyman                package:MatchIt                R Documentation

_E_s_t_i_m_a_t_i_n_g _t_r_e_a_t_m_e_n_t _e_f_f_e_c_t_s: _N_e_y_m_a_n'_s _m_e_t_h_o_d

_D_e_s_c_r_i_p_t_i_o_n:

     Calculates basic estimate of treatment effect, using simple
     difference in means and Neyman's estimate of the variance.

_U_s_a_g_e:

     neyman <- neyman(Y, object, bootstrap=NULL, counter=TRUE)

_A_r_g_u_m_e_n_t_s:

       Y: (required).  Outcome variable of interest, included in 'data'
          from 'matchit' object.

  object: (required).  Stored output from 'matchit'.

bootstrap: Use the bootstrap to estimate standard errors
          (default=FALSE).  Often used when matching done with
          replacement.

 counter: Counter indicating progress of the bootstrap (default=TRUE,
          which shows the counter).

_D_e_t_a_i_l_s:

     Calculates overall treatment effect estimate using matched samples
     generated by 'matchit'.  If subclasses were generated in the
     matching procedure, the estimate is a weighted average over the
     subclasses, with subclass weights defined by the 'sub.by' option
     in the 'matchit' call.  The standard deviation can also be
     estimated using the bootstrap procedure, which is often used when
     matching done with replacement.  For more details on the
     calculations, see the complete documentation (link below).  The
     'summary' command on a 'neyman' object will provide a test of
     significance of the outcome as well as sample sizes of the matched
     treated and control groups, and subclass estimates if applicable.

_V_a_l_u_e:

Returns estimate of the effect of the treatment, as well as the standard deviation
of that estimate.: 

_A_u_t_h_o_r(_s):

     Daniel Ho <deho@fas.harvard.edu>;  Kosuke Imai
     <kimai@princeton.edu>; Gary King <king@harvard.edu>; Elizabeth
     Stuart<stuart@stat.harvard.edu>

_S_e_e _A_l_s_o:

     Please use 'help.matchit' to access the matchit reference manual. 
     The complete document is available online at <URL:
     http://gking.harvard.edu/matchit>.

