Also, just as a context thing, matlab, for some reason sums matrices down columns by default. So the output the ltv prices equation is a row vector of the summed labors (which I transpose using the apostrophe symbol ')

Indeed I am pretty sure that my code actually is using prices and values for each sector separately, otherwise the code should be giving me an error regarding the dimensionality of the code.

[–] Sebrof@hexbear.net 2 points 3 days ago (1 children)

Hello again, I'm going through your code and taking some notes so I am getting back to you in sections. I plan on putting everything in one post, but I thought I could comment on this particular point separately in the meantime. Also, apologies if I come across as if I am speaking down you. I recognize you are acquainted with these ideas and I'm trying to be clear to avoid any confusion for both of us and anyone else reading these comments!

The way that you calculated labor values here can work, as long as you are multiplying the labor coefficients across columns in a row when doing the element-wise multiplication. If done correctly, you are correct in that you are essentially calculating

v = v A + l = l (I - A)^-1^

which is the total labor required to produce a unit net product.

I have an example here to make my point:

Here is my labor coefficient vector, l
Define Leon as the Leontief inverse matrix (I-A)^-1^

MatLab trips me up with the \ operator, so I just take the inverse explicitly and define it as Leon to avoid any confusion.

This will be a little different form your approach where you are taking Leon and then matrix-multiplying by unit vectors (a matrix of unit vectors i.e. I) to perform the sum. Here, I make the sum more explicit to step through the calculation.

Calculate the total labor it takes to produce a unit of net output, i.e. a (standard) labor-value.

Since I am not familiar with MatLab I am not claiming you are doing this the correct or incorrect way - you can determine this since you know MatLab better than I do - but I wanted to show you a possible wrong way to calculate v depending on how you do the element-wise multiplication.

Incorrect Way If the labor coefficient value l~i~ is multiplied to the values in the i-th column of the Leon matrix and you sum the values of each column (sum across rows for column i) as shown below:

Then you will be getting a vector that doesn't correctly trace the labor inputs of each sector.

You would be accidentally calculating

(I - A)^-1^ l

i.e. you would be defining v~i~ as Leon~i,1~ l~1~ + Leon~i,2~ l~2~ + ...

instead of correctly calculating it as

Correct Way

l (I - A)^-1^

i.e. v~i~ = l~1~Leon~1,i~ + l~2~ Leon~2,i~+ ...

The order of the subscripts helps keep this straight, since the embodied labor in net product i is the sum of labor going from sector 1 to sector i plus labor going from sector 2 to sector i plus ..., etc.

As long as your method is doing the element-wise multiplication correctly then it will work. Here are the examples I have continued:

Here, as long as the first element of l is being multiplied to the first row of Leon, and the second element of l by the second row of Leon and etc. then when you sum the columns

you get the correct calculation of the labor value, which the above shows.

My apologies for the earlier misunderstanding. I see that you are not aggregating

[–] sodium_nitride@hexbear.net 2 points 3 days ago (1 children)

Matlab element wise multiplication indeed works in the correct way that you described.

sum(Leon.*l)

is equivalent to

l*Leon

which is why MatLab's "sum" function by default sums down columns rather than by rows. The sum(Leon.*l) notation keeps things explicit (helps me in coding consistently), but the MatLab compiler knows how to optimize these things.

[–] Sebrof@hexbear.net 2 points 3 days ago

Thanks for the response! Hopefully I'm not overloading you with questions - this is helping me understanding MatLab and answering some other questions I had. I've asked another question too re. the wages for whenever you have the time.

Thanks again!