Find maximum of a function
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Hi,
I am new to Matlab. I was using Mathematica before. I am writing a code for a research paper (in economics. I attach it below. It probably is not written in the best possible way, but it works until the last line.
I would like to evaluate totaltax(t1,t2) for each (t1,t2) with t1 in 0:step:1 and t2 in 0:step:1. My objective is then to find the (t1,t2) combination which maximizes totaltax.
I tried to use meshgrid, but did not manage to get what I wanted. So I am presently stuck. Your help would be much appreciated! Best,
Laurent
kmax = 5; % I will increase it later
mu1 = 10.19357; % mean of log wages omega
sigma1 =0.3022616; % standard deviation of log wages
mu2 = 11.795; % mean of shifting cost gamma
sigma2 = 0.1*11.795; % 10% of the mean cost
rho=-0.2;
elastmean=0.2;
elastsd=1/2*elastmean;
step=0.1;
%%%%%%%%%%%%%%%%%%%%%%%%
mu=[mu1 mu2];
sigma=[sigma1 sigma2];
corr=[1 rho*sigma1*sigma2; rho*sigma1*sigma2 1];
data=MvLogNRand(mu,sigma,kmax,corr);
omega=data(:,1); %column vector with skills
gamma=data(:,2); %column vector with shifting costs
plot(omega,gamma,'+');
ppd=makedist('Normal','mu',elastmean,'sigma',elastsd);
tt=truncate(ppd,0,1);
elasticity=random(tt,kmax,1); % elasticities defined from normal draw
threshold=@(t1,t2,elast,g) (((1.+elast).*g)./((1-t2).^(1.+elast)-(1-t1).^(1.+elast))).^(1./(1.+elast));
omegatilde=@(t1,t2) threshold(t1,t2,elasticity,gamma); % shifting if omega > omegatilde
shift=@(t1,t2) omega>omegatilde(t1,t2); % vector with 1 for shifters and 0 for non-shiftersshift(1,0)
noshift=@(t1,t2) omega<=omegatilde(t1,t2); % vector with 0 for shifters and 1 for non-shiftersshift(1,0)
tax1=@(t1,t2) t1.*(1.-t1).^elasticity.*omega.^(1.+elasticity);
tax2=@(t1,t2) t2.*(1.-t2).^elasticity.*omega.^(1.+elasticity);
indtax=@(t1,t2) tax1(t1,t2).*noshift(t1,t2)+tax2(t1,t2).*shift(t1,t2);
totaltax=@(t1,t2) sum(indtax(t1,t2));
2 Kommentare
Stephen23
am 26 Jan. 2019
If the functions are fully vectorized then ndgrid or meshgrid to get the values, call the function with those values, and then find the minimum. Otherwise you will have to use a loop or arrayfun.
Laurent Simula
am 27 Jan. 2019
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