% PURPOSE: An example using sur(), % % seemingly unrelated regression estimation % with and without iteration on the error var-cov matrix %--------------------------------------------------- % USAGE: sur_d %--------------------------------------------------- clear all; load grun.dat; % grunfeld investment data % see page 650, Green 1997 y1 = grun(:,1); % general electric x11 = grun(:,2); x12 = grun(:,3); y2 = grun(:,4); % westinghouse x21 = grun(:,5); x22 = grun(:,6); y3 = grun(:,7); % general motors x31 = grun(:,8); x32 = grun(:,9); y4 = grun(:,10); % chrysler x41 = grun(:,11); x42 = grun(:,12); y5 = grun(:,13); % us steel x51 = grun(:,14); x52 = grun(:,15); nobs = length(y1); iota = ones(nobs,1); vname1 = ['I gen motors ', 'constant ', 'fgm ' 'cgm ']; vname2 = ['I chrysler ', 'constant ', 'fcry ' 'ccry ']; vname3 = ['I gen electric', 'constant ', 'fge ', 'cge ']; vname4 = ['I westinghouse', 'constant ', 'fwest ' 'cwest ']; vname5 = ['I us steel ', 'constant ', 'fuss ' 'cuss ']; % set up a structure for y containing y's for each eqn % (order follows that in Green, 1997) y(1).eq = y3; % gm y(2).eq = y4; % chrysler y(3).eq = y1; % general electric y(4).eq = y2; % westinghouse y(5).eq = y5; % us usteel % set up a structure for X in each eqn X(1).eq = [iota x31 x32]; X(2).eq = [iota x41 x42]; X(3).eq = [iota x11 x12]; X(4).eq = [iota x21 x22]; X(5).eq = [iota x51 x52]; % do sur regression with iteration neqs = 5; iflag = 1; result = sur(neqs,y,X,iflag); % no iteration done here result2 = sur(neqs,y,X); vname = [vname1 vname2 vname3 vname4 vname5]; prt(result,vname); prt(result2,vname);