Explicit solution from matrices of known variables at different heterogeneity levels

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Please help! I am relatively new to Matlab and face the following issue: the outcome of my model is this variable \hat{x} that varies at the j,f level. The final identification equation which comes from my equilibrium condition look like this:
All variables apart from \hat{x}_j^f are known. The subscripts h and f denote home and foreign and they are running indices with a total of H countries (which is why I have matrices HxH which contain bilateral variables and Hx1 which contain only country-level variables). What I do not know is how to input in Matlab these matrices with my data at the different heterogeneity levels (j, h, f) such that I calculate my \hat{x}_j^f from the equation in the end.
Would anyone here be able to help me with some sample code to get me started? Thank you in advance to anyone who spends time on answering my query!

Accepted Answer

Milan Bansal
Milan Bansal on 29 Jan 2024
Hi Stefani,
I understand that you looking for a sample code to resolve a system of your linear equations where all the variables are known except . The final equation you are trying to solve is .
For every j instead of calculating in for each f, it is possible to calculate (H x 1) at once using matrix operations in MATLAB. This in turn will reduce calculation at h and f level as it will be taken care internally using matrix operations. Simplify the given equation such that all the known variables are on right hand side of the equation as shown below.
where and are (H x H) matrices and is a (H x 1) vector. The output will be a (H x 1) vector.
Refer to the pseudo code in the code snippet below to solve the equation for
% Assuming that B_j, a_j, rho_j, ZX_j_rhoj variable are know and available,
% Xhat_j for every j calculated using the following code.
Xhat_j_rhoj_Plus1 = inv(a_j) * inv(B_j) * ((rho_j + 1) * (rho_j + 2)) * ZX_j_rhoj;
Xhat_j = Xhat_j_rhoj_Plus1.^(1/(rho_j +1)); % element wise power
Please refer to the following documentation link to learn more about Array and Matrix operations in MATLAB.
Hope this helps.

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