Inputs and Production Functions
The firm's side of the market: how output relates to labour and capital, marginal and average product, the law of diminishing marginal returns, isoquants and the marginal rate of technical substitution, and returns to scale.
- Compute marginal product and average product of labour from a production function
- Explain the law of diminishing marginal returns and locate where it sets in
- Compute the marginal rate of technical substitution and explain diminishing MRTS
- Classify a production function's returns to scale
The production function
A production function describes the maximum output a firm can produce from given quantities of inputs, typically labour and capital .
- output
- labour
- capital
Use it when you need the general relationship between inputs and maximum feasible output, before specifying a functional form.
The short run is a period in which at least one input (usually capital) is fixed; the long run is long enough that every input can be varied. This lesson’s marginal/average product analysis is a short-run story; returns to scale, at the end, is inherently a long-run concept, since it requires every input to change together.
Marginal and average product
- extra output from one more unit of labour, holding capital fixed
- output per worker
Use it when you need to measure labour productivity either at the margin (the next worker) or on average (across all current workers).
The law of diminishing marginal returns
Use it when a question asks why marginal product does not keep rising forever, or asks you to identify where diminishing returns set in on a production function.
Diminishing marginal returns is not a claim that is always falling — only that it eventually must, once capital is fixed and workers keep being added. Early workers may make each other more productive (specialisation); eventually, workers start competing for the same fixed machines and floor space, and turns down.
Isoquants and the marginal rate of technical substitution
An isoquant shows every combination of and that produces the same output — the production-side twin of an indifference curve.
- the rate at which a firm can substitute labour for capital while holding output constant
Use it when you need the slope of an isoquant, or the rate at which a firm could give up capital for labour without changing output.
For a Cobb-Douglas production function , exactly the same algebra as the Cobb-Douglas utility case gives .
Just as diminishing MRS shapes indifference curves, diminishing MRTS — MRTS falling as you move along an isoquant toward more labour and less capital — is what gives isoquants their typical convex (bowed-in) shape.
Returns to scale
Returns to scale asks what happens to output when every input is scaled up by the same factor — inherently a long-run question, since fixed inputs are, by definition, not being scaled.
- the common scaling factor applied to every input
- the returns-to-scale exponent
Use it when you double (or scale by any factor) every input at once and need to classify how output responds — a much broader question than diminishing marginal returns, which holds only one input fixed.
For Cobb-Douglas , the returns-to-scale exponent is simply .
Exam practice
Summary and review
- (next worker’s contribution); (output per worker).
- Law of diminishing marginal returns: with capital fixed, eventually falls as L rises.
- MP crosses AP exactly at AP’s maximum.
- , the slope of an isoquant; diminishing MRTS gives isoquants their convex shape.
- Returns to scale: scale every input by ; constant, increasing, decreasing. For Cobb-Douglas, .
- Diminishing marginal returns (short run, one input) and returns to scale (long run, all inputs) are different concepts.