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Which of the following is true about the Hessian matrix of a function f(x,y)?
It is always invertible
0%
It is always diagonal
0%
Its determinant is always positive
0%
It is always symmetric
100%
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Law of returns to scale indicate that for this law to operate, factor proportions must be ________ at same level.
Increased
0%
Changed
0%
Decreased
0%
Unchanged
0%
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In a Hessian matrix of a function f(x,y), the determinant of the Hessian matrix (det(H)) represents:
The second-order derivative of f
0%
The Jacobian determinant of f
0%
The discriminant used in second derivative tests
100%
The first-order derivative of f
0%
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Jacobian is used for:
Second order differentials
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First order differentials
0%
First order partials
100%
Second order partials
0%
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How does a lump-sum tax affect marginal cost (MC)?
Decreases MC
0%
Increases MC
0%
First increases, then decreases MC
0%
No effect on MC
100%
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In the Lagrange Multiplier method, the term λ represents.
The shadow price of relaxing the constraint
100%
The optimal solution to the objective function
0%
The second derivative of the function
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The elasticity of substitution
0%
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If u, v, w are not independent functions of independent variables x, y, z then
∂(x,y,z)/ ∂(u,v,w) = 0
0%
∂(u,v,w)/ ∂(x,y,z) = 0
100%
∂(x,y,z)/ ∂(u,v,w) = 1
0%
∂(u,v,w)/ ∂(x,y,z) = 1
0%
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Constrained optimisation uses ________ determinant to check ______ conditions.
Hessian, first-order
0%
None of the above
0%
Bordered hessian, first-order
0%
Hessian, second-order
0%
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A firm in a perfectly competitive labor market is a:
Wage setter
0%
Wage taker
100%
Bilateral negotiator
0%
Monopoly employer
0%
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For giffen goods, the relationship between price and quantity is.
Direct
0%
Negative
0%
Indirect
0%
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