pov                   package:ineq                   R Documentation

_P_o_v_e_r_t_y _M_e_a_s_u_r_e_s

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

     computes the poverty of an (income) vector according to the
     specified poverty measure

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

     pov(x,k,parameter=1,type=c("Watts", "Sen", "Foster")) 

     Watts(x,k)
     Sen(x,k)
     Foster(x,k,parameter=1)

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

       x: a vector containing at least non-negative elements

       k: a constant giving the absolute poverty boundary

parameter: parameter of the poverty measure

    type: character string giving the measure used to compute poverty
          coefficient must be one of the strings in the default
          argument (the first character is sufficient). defaults to
          "Watts".

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

     `pov' is just a wrapper for the poverty measures of `Watts', `Sen'
     and `Foster' (Foster / Greer / Thorbecke).

     `Foster' gives for parameter 1 the head count ratio and for
     parameter 2 the poverty gap ratio.

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

     the value of the poverty measure

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

     Achim Zeileis zeileis@ci.tuwien.ac.at

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

     Buhong Zheng: Aggregate Poverty Measures, 1997, Journal of
     Economic Surveys Vol.11 No.2, 123-162. 

     J E Foster: On Economic Poverty: A Survey Of Aggregate Measures,
     1984, Advances in Econometrics Vol. 3, 215-251.

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

     `ineq', `conc'

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

     # generate vectors (of incomes)
     x <- c(541, 1463, 2445, 3438, 4437, 5401, 6392, 8304, 11904, 22261)
     y <- c(841, 2063, 2445, 3438, 4437, 5401, 6392, 8304, 11304, 21961)
     # compute Watts index with poverty boundary 2000
     pov(x, 2000)
     pov(y, 2000)
     # compute head count ratio with poverty boundary 2000
     pov(x, 2000, parameter=1, type="Foster")
     pov(y, 2000, parameter=1, type="Foster")

