Wells                package:effects                R Documentation

_W_e_l_l _S_w_i_t_c_h_i_n_g _i_n _B_a_n_g_l_a_d_e_s_h

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

     Data on whether or not households in Bangladesh changed the wells
     that  they were using.

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

     Wells

_F_o_r_m_a_t:

     A data frame with 3020 observations on the following 5 variables.

     '_s_w_i_t_c_h' whether or not the household switched to another well
          from an unsafe well: 'no' or 'yes'.

     '_a_r_s_e_n_i_c' the level of arsenic contamination in the  household's
          original well, in hundreds of micrograms per liter; all are
          above 0.5, which was the level identified as ``safe''.

     '_d_i_s_t_a_n_c_e' in meters to the closest known safe well.

     '_e_d_u_c_a_t_i_o_n' in years of the head of the household.

     '_a_s_s_o_c_i_a_t_i_o_n' whether or not any members of the household
          participated in any community organizations: 'no' or 'yes'.

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

     The data are for an area of Arahazar upazila, Bangladesh. The
     researchers labelled each well with its level of arsenic and an
     indication of whether the well was ``safe'' or ``unsafe.'' Those
     using unsafe wells were encouraged to switch. After several years,
     it was determined whether each household using an unsafe well had
     changed its well.  These data are used by Gelman and Hill (2007)
     for a logistic-regression example.

_S_o_u_r_c_e:

     <URL:
     http://www.stat.columbia.edu/~gelman/arm/examples/arsenic/wells.dat>.

_R_e_f_e_r_e_n_c_e_s:

     A. Gelman and J. Hill (2007) _Data Analysis Using Regression and
     Multilevel/Hierarchical Models._ Cambridge: Cambridge University
     Press.

_E_x_a_m_p_l_e_s:

     summary(Wells)

