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6 votes
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Lagrange Multiplier Dual Meaning?

The Lagrange multiplier is both of the above, both statements are equivalent. In the classic consumer problem $\max U(x,y)$ s.t. $p_x x + p_y y = I$ whose Lagrangian is $\mathcal{L}(x,y,\lambda) = U(x,...
Nicolas Torres's user avatar
3 votes
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Arguments for Concavity or Quasi-concavity

I will try to address your queries in the order you've asked them by providing the necessary definitions and procedures to find the answers you're looking for. The first approach is valid and it is ...
mynameparv's user avatar
3 votes
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Utility maximization for a household consisting of a woman and a man, with gender discrimination

In principle, using Lagrange multipliers instead of substitution should be the same. Lagrange multipliers are important when the constraint functions can't be explicitated, otherwise they are not ...
BakerStreet's user avatar
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3 votes

Lagrange Multiplier Dual Meaning?

I'm purposefully handwavy here; getting things formally right can be very subtle. Suppose you could ignore the constraint. Then you do your usual unconstrained maximization problem, and the marginal ...
Michael Greinecker's user avatar
3 votes

Lagrange Multiplier Dual Meaning?

Consider the following constraint optimization with an equality constraint: $$\begin{align} \max_{(x,y)\in\mathbb{R}^2} \quad & f(x,y) \\ \textrm{s.t.} \quad & g(x,y)=c \end{align}$$ The ...
mynameparv's user avatar
3 votes

Lagrange Multiplier Dual Meaning?

In general the Lagrange multipliers from a constrained optimization problem takes on the interpretation of the value of adjusting the "size" of the constraint in question. There can be many ...
EconJohn's user avatar
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3 votes
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CRS, Homothetic Functions, and constant MRTS

I think I’m generally missing the added value of a homothetic function vs homogenous function. The added value of homothetic functions is that they are a wider class with respect to homogeneous ...
BakerStreet's user avatar
  • 2,717
2 votes
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Inappropriate use of Calculus in estimating ΔCost?

If this is correct, is it unsurprising that it is wildly different from the estimate given that the change in capital was a 50% increase, and calculus is designed to approximate small changes? ...
BakerStreet's user avatar
  • 2,717
2 votes
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Mixed Partial Derivatives in Profit Function

In my classes, they’re called Marshallian or uncompensated demands, as in consumer theory. The partial derivative on the right hand side means to directly differentiate the demand for $z$ (the ...
Nicolas Torres's user avatar
2 votes

Perfect Complement Utility Function Maximisation

Proof: Suppose there is an optimal bundle $x^\star$ such that $p \cdot x^\star < m$. By continuity there is a neighborhood $N$ of $x^\star$ such that $p\cdot x<m$ and $u(x)\le u(x^\star)$ for ...
VARulle's user avatar
  • 6,157
2 votes
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Quadratic Form Single Summation notation

The sum $\sum_{i \le j}=a_{ij}x_ix_j$ goes over all indices $(i,j)$ with $i\leq j$. We can do that by either summing over all $i$ and then for each $i$ all $j\geq i$, which would give us $$\sum_{i=1}^...
Michael Greinecker's user avatar
1 vote

How to derive the short run cost function

Since $L$ is fixed at some $\overline{L} > \frac{\overline{Y}}{2}$, then $\overline{Y} < 2L$. This implies the $\min$ term equals $3K$. Therefore, $f(K,\overline{L}) = 3K$. With this, the ...
Nicolas Torres's user avatar
1 vote
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Perfect Complement Utility Function Maximisation

Suppose there is an optimal bundle $x^\star = ({x_1}^\star,{x_2}^\star)$ such that $p \cdot x^\star < m$. Since $p \cdot x^\star < m$, there exists a $t > 1$ such that $t (p \cdot x^\star) = ...
Nicolas Torres's user avatar
1 vote
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Logarithmic Utility function Algebra

$U(x^\star,y^\star) = a \ln( \frac{am}{p_1}) + b \ln(\frac{bm}{p_2}) $ $= a \ln(a) + a \ln(m) - a \ln(p_1) + b \ln(b) + b \ln(m) - b \ln(p_2) $ Since $a + b = 1$, $= \ln(m) - a \ln(p_1) - b \ln(p_2) + ...
Nicolas Torres's user avatar
1 vote
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Non-Negativity Constraints KKT

The way I’d do it is to simply optimize the usual Lagrangian $\mathcal{L} = f(x,y) + \lambda (k - g(x,y))$. If all variables end up being non-negative, that is your solution. If any variable, let’s ...
Nicolas Torres's user avatar
1 vote

Utility maximization for a household consisting of a woman and a man, with gender discrimination

I found BakerStreet's answer useful to intuitively make conclusions about the model, however I was then able to explicitly solve for the household's agents' optimal time allocations myself with a ...
Nicolas Torres's user avatar
1 vote
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Missing Non-Negativity Constraint?

The only thing that changes is the $k$ first order condition. The one you got with the non-negativity constraint Lagrange multiplier is $-r + \lambda \alpha L^{1-\alpha} + \mu_k \leq 0$ Substracting $\...
Nicolas Torres's user avatar

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