Let U be utility as a function of x, y, and z, where x refers to everything one buys other than software, y is cheap software, and z is costly software (α, β, and γ are arbitrary constants; x0, y0, and z0 are threshold levels of consumption) .
U(x, y, z) = αln(x-x0) + βln(y-y0)+ γln(z-z0)
subject to
I = pxx + pyy + pzz .
where I is income and p refers to the price of the respective good.
The Lagrangian will be
L = αln(x-x0) + βln(y-y0)+ γln(z-z0) + λ(I - pxx - pyy - pzz)
and first order conditions will be
First we solve for x, y, and z in terms of the constants (and λ)
and then we solve for the Lagrangian multiplier λ:
And we substitute the values for x, y, and z into the equation for the Lagrangian multiplier.
Now, so far this has just been a generic solution of a symmetric 3-good constrained optimization problem, and it can be made even more general for a very large number of goods:
where gj is any good, cj is the corresponding constant I've been representing with Greek letters, I is income, and i is the counter for summation within the equation (So, for example, pj refers to the price for the good gj whose optimal amount g* you're trying to determine, while pigi refers to the amount expended on any individual good listed in the summation from 1 to n goods).
(Discussion of Findings)Notes:
1 Regarding the utility function: I prefer to use the linear expenditure model instead of the Cobb-Douglas model everyone else uses, because the CD utility function leads to rigid expenditures between x, y, and z. If a researcher wanted to perform regression analysis of "observed preferences" to establish what the coefficients were, the existence of threshold levels of consumption would correspond to y-intercepts for each good.
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