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MATH
[1251]

Economic applications

Production, budget constraints and optimal input allocation.

This page applies constrained optimisation to production: a firm chooses inputs to maximise output within a budget. Each problem starts by identifying the output, the feasible input choices and whether the budget constraint binds.

Production and budget

[DEFINITION]

Production function

A production function describes output QQ as a function of input quantities:

Q=f(E,L),Q=f(E,L),

where E,L≥0E,L\ge0, EE denotes capital equipment or investment and LL denotes labour. The formula is understood on the economically feasible part of this non-negative quadrant.

The gradient of QQ records how output changes when either input changes. An optimal allocation compares those changes with input prices through the multiplier condition, which requires ∇Q\nabla Q to be parallel to the budget-line normal.

[DEFINITION]

Budget constraint

If q>0q>0 is the price per unit of capital, p>0p>0 is the price per unit of labour and B>0B>0 is the available budget, the feasible input choices satisfy

qE+pL≤B,E≥0,L≥0.qE+pL\le B, \qquad E\ge0,\quad L\ge0.

The products qEqE and pLpL are both measured in currency units, as is BB; this keeps the budget equation dimensionally meaningful.

The inequality includes every affordable input bundle. Its boundary qE+pL=BqE+pL=B is the budget line: the bundles that spend the entire budget.

[METHOD]

Formulate a production problem

To maximise production under a budget:

  1. identify the production function Q=f(E,L)Q=f(E,L);
  2. write the feasible set qE+pL≤B,E,L≥0;qE+pL\le B, \qquad E,L\ge0;
  3. if increasing either input increases output, replace the inequality by the binding budget equation qE+pL=BqE+pL=B;
  4. apply the constrained-extrema method and interpret the resulting inputs.

If output increases with either input, an allocation leaving budget unused cannot be optimal, because some additional productive input could be purchased. Without this monotonicity assumption (or if inputs are indivisible), keep the inequality and compare interior, axis and slack candidates instead.

Cobb-Douglas allocation

[DEFINITION]

Cobb-Douglas production function

A Cobb-Douglas production function has the form

Q(E,L)=AEεL1−ε,A>0,0<ε<1.Q(E,L)=AE^\varepsilon L^{1-\varepsilon}, \qquad A>0, \qquad 0<\varepsilon<1.

The exponent ε\varepsilon controls the relative contribution of capital and 1−ε1-\varepsilon controls the relative contribution of labour. The positive scale parameter AA changes output levels but, under the linear budget constraint, does not change the optimal input shares.

[EXAMPLE]

Optimal Cobb-Douglas allocation

Maximise

Q(E,L)=AEεL1−εQ(E,L)=AE^\varepsilon L^{1-\varepsilon}

subject to

qE+pL=B.qE+pL=B.

Assume p,q,B>0p,q,B>0. A feasible bundle with E,L>0E,L>0 produces positive output, whereas a bundle with E=0E=0 or L=0L=0 produces zero output. Hence an optimum has E,L>0E,L>0, so the following first-order equations and division are valid.

The multiplier equations are

εAEε−1L1−ε=λq,\varepsilon AE^{\varepsilon-1}L^{1-\varepsilon} =\lambda q,(1−ε)AEεL−ε=λp,(1-\varepsilon)AE^\varepsilon L^{-\varepsilon} =\lambda p,

together with qE+pL=BqE+pL=B.

Divide the first equation by the second. The common factors simplify to

ε1−εLE=qp.\frac{\varepsilon}{1-\varepsilon}\frac{L}{E} =\frac{q}{p}.

Equivalently,

pεL=q(1−ε)E.p\varepsilon L=q(1-\varepsilon)E.

Combining this relation with the budget equation gives

qE=εB,pL=(1−ε)B.qE=\varepsilon B, \qquad pL=(1-\varepsilon)B.

Thus the optimal input quantities are

E=εBq,L=(1−ε)Bp.{ E=\frac{\varepsilon B}{q}, \qquad L=\frac{(1-\varepsilon)B}{p} }.

The firm spends the fraction ε\varepsilon of its budget on capital and the fraction 1−ε1-\varepsilon on labour:

qEB=ε,pLB=1−ε.\frac{qE}{B}=\varepsilon, \qquad \frac{pL}{B}=1-\varepsilon.

The scale parameter AA cancels from the allocation because it multiplies both multiplier equations in the same way.

Here λ\lambda has units of output per currency unit and measures the marginal value of relaxing the budget. Then λq\lambda q and λp\lambda p have the units of the marginal products QEQ_E and QLQ_L: output per unit of capital and output per unit of labour.

This interpretation can be checked directly. The first multiplier equation gives λ=εQ/(qE)=Q/B\lambda=\varepsilon Q/(qE)=Q/B at the optimum. Since both optimal inputs are proportional to BB, the optimal output is also proportional to BB; thus dQmax⁡/dB=Qmax⁡/B=λdQ_{\max}/dB=Q_{\max}/B=\lambda.

The multiplier equations locate a candidate, not by themselves a global maximum. Along the budget line, L=(B−qE)/pL=(B-qE)/p for 0<E<B/q0<E<B/q and

ddElog⁡Q(E,B−qEp)=εE−(1−ε)qB−qE.\frac{d}{dE}\log Q\left(E,\frac{B-qE}{p}\right) =\frac{\varepsilon}{E} -\frac{(1-\varepsilon)q}{B-qE}.

This derivative is positive before E=εB/qE=\varepsilon B/q and negative after it; output is zero at both endpoints. The candidate is therefore the global maximum on the feasible budget segment.

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