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add 42
2a8276b
clear;
clc;
format short g
p.beta = 0.985479;
p.alpha = 0.670089;
p.R = 0.011320;
p.phi = 0.924232; % productivity non-market
p.F0m = 0.172698; % fixed cost of refinancing
p.B = 9.828128; % bequest motive
p.r1 = 0.302228;
p.r2 = 9.162950;
p.rh = (1 + 0.017386)^(1/4) - 1; % upper bound on liquid rate
x = [p.beta; p.alpha; p.R; p.phi; p.F0m; p.B; p.r1; p.r2; (1 + p.rh)^4 - 1];
lb = [0.985; 0.64; 0.0111; 0.88; 0.14; 9.5; 0.25; 7; 0.015 ];
ub = [0.986; 0.70; 0.0115; 0.96; 0.21; 10.3; 0.35; 11; 0.020 ];
ftarget = @(x) objective(x);
%ftarget(x)
%return
switch 'patternsearch'
case 'fminsearch'
disp('fminsearch')
options = optimset('fminsearch');
options.Display = 'iter';
options.TolX = 1e-4;
options.MaxFunEvals = 250;
x = fminsearchbnd(ftarget, x, lb, ub, options);
case 'ga'
disp('ga')
gaoptions = gaoptimset('Display', 'off','UseParallel', 'always', 'InitialPopulation', x');
x = ga(@(x)ftarget(x), size(x, 1), [], [], [], [], lb, ub, [], gaoptions);
case 'particleswarm'
disp('particleswarm')
options = optimoptions('particleswarm', 'Display', 'off', 'MaxTime', 10000, 'UseParallel', true, 'InitialSwarm', x', 'SwarmSize', 200);
x = particleswarm(ftarget, numel(x), lb', ub', options); %this function complains if I give it a structure as input
case 'patternsearch'
disp('patternsearch')
options = optimoptions('patternsearch','Display','off', 'UseParallel', true);
x = patternsearch(ftarget, x, [], [], [], [], lb, ub, [], options);
end
x = x(:);