Recent content by TheBestMilke

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    Clustered Std Errs vs Unclustered

    Greetings, I recently ran two regressions, one clustering around the states from my data and the other without clustering. Both have fixed time effects. I've noticed that the standard errors for my main coefficients under observation are much larger than the standard errors from my...
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    Maximizing Multi-Product Firm Profits with Symmetric Matrices

    I figured it out. I don't know what I was possibly thinking to begin with as it was actually a simple task. Thanks for bearing with my multiple posts and bumps.
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    Maximizing Multi-Product Firm Profits with Symmetric Matrices

    I've reworked this now, trying to pay a little more attention to the way the distributive property works with matrices as well as how transpose carries through. If I start from defining the profit, n. n = TR - TC. TR = pq TC = C(q) = qtAq We know that q = Bp+c which means that B-1(q-c) = p...
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    A very basic laplace transform problem (picture included)

    You may have figured it out by now, but in case you haven't this might help a little. The case you have is a little bit tricky, and you have to solve it similarly to the situation e^t*sint back in calc 2. F(t) = \int^{\pi}_{0}e-stsin(t)dt = \frac{-1}{s}e-stsin(t) +...
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    Maximizing Multi-Product Firm Profits with Symmetric Matrices

    I'm not sure if I completely understand, but this is what I've managed to come up with. If we substitute the solved p value into the equation as well as the total cost we come up with something like: n=p*q - c(q) = [B-1(q-c)]q - qAqt If I take the transpose of the substituted p, pt, I...
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    Maximizing Multi-Product Firm Profits with Symmetric Matrices

    Homework Statement A multi-product firm has total cost function C(q) = qtAq and faces inter-related but linear demand schedules for the n goods it produces: q = Bp + c. Both A and B are symmetric and B is invertible. Obtain an expression for total profit π(q) in the form π(q) = qtDq - etq...
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