I import an Excel table that contains wealth and income values and CRRA coefficients in the rows. I would like to know
how much people should save (given their CRRA coeffiecient). I know that I need vpasolve to find the roots of the first-order
condition. s2 is the variable that I am interested in.
T = readtable('Savings.xls.xlsx');
syms s2
T.behavioralsavings2 = vpasolve( (70+s2)*(log(70+s2))^(T.crracoef)-(70+T.wealth2)*(log(70+T.wealth2))^(T.crracoef), s2)
I get the following error messages:
Error using ^ (line 344)
Matrix must be square.
Error in Untitled (line 3)
T.behavioralsavings2 = vpasolve( (70+s2)*(log(70+s2))^(T.crracoef)-(70+T.wealth2)*(log(70+T.wealth2))^(T.crracoef), s2)
I do not have the slightest idea what to do. Am I on the right path applying vpasolve on a table? Thanks!

 채택된 답변

darova
darova 2021년 3월 17일

0 개 추천

Try to change your code like this
T = readtable('Savings.xls.xlsx');
syms s2
for i = 1:size(T,1) % number of rows
T.behavioralsavings2(i) = vpasolve( (70+s2)*(log(70+s2))^(T.crracoef(i))-(70+T.wealth2(i))*(log(70+T.wealth2(i)))^(T.crracoef(i)), s2)
end

추가 답변 (0개)

카테고리

도움말 센터File Exchange에서 Symbolic Math Toolbox에 대해 자세히 알아보기

제품

릴리스

R2021a

태그

질문:

2021년 3월 16일

댓글:

2021년 3월 18일

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by