Production function: Difference between revisions

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==Modelling the production function==
==Modelling the production function==
The returns to scale concept lacks the precision necessary for quantification, and economists have sought to represent plausible versions of it by algebraic equations. The Cobb-Douglas function, which relates output to the product of the inputs, after each has been raised to a constant power (as shown on the tuorials subpage), is the best-known result. Its widespread acceptance probably stems from the claim by its creators to have used successfully to predict the shares of US output that went to capital and labour during the period


==Qualifications an objections==
==Qualifications an objections==

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The production function is a statement of the relation between the volumes of the inputs and the outputs of a production process. Its form has implications for the concept of economic equilibrium and it is widely used in the construction of economic models.

Returns to scale - interpretation

The relation between the inputs to a production process and its output is conventionally termed the "returns to scale" of that process, but economists have placed a restricted interptetaion upon that term. Marshal interpreted it to mean what happens when producers make the most efficient possible use of existing technology. (That restriction limits the possibility of empirical verification: it excludes the use of a time series of observations because of the possible intervention of changes of technology and changes of technique due to learning, [1] and other sources of data are hard to find.) He also drew a distinction between what happens in the short run, before the production manager is able to correct an imbalance between the quantities of labour and capital; and the long run during which the optimum proportion of capital to labour can be restored. Economists have also reasoned that to apply the concept to a single production unit would be to overlook possible interactions with competitors who might be assumed to be bidding for the same input resources. Consequently economists usually take it for granted that the term can be validly applied only to industries or to groups of industries. In the absence of convincing empirical evidence, the subject has usually been approached by postulating plausible relationships and adopting those that prove useful in a wider context.

Diminishing returns and economic equilibrium

Diminishing returns is often taken to mean a progressive reduction in the increment of output produced by an increment of input that develops after a certain point - implying that proportionality is preserved up to that point. For the purposes of the law of supply and demand, however, it is necessary to assume that there is no proportional interval, and that the diminishing process is always at work. The diminishing returns hypotheses is intuitively convincing when one input is increased while the oher is held constant, and is in accord with experience in agricultural production and elsewhere. But that state of affairs may be assumed to be confined in practice to a short-term expansion in production, and the law of supply and demand depends upon the assumption that it is universal. Its validity for longer-term output expansions depends upon the argument that the resulting increase in the demands for inputs is at the expense of other users, who may be expected to bid up their price.

Modelling the production function

The returns to scale concept lacks the precision necessary for quantification, and economists have sought to represent plausible versions of it by algebraic equations. The Cobb-Douglas function, which relates output to the product of the inputs, after each has been raised to a constant power (as shown on the tuorials subpage), is the best-known result. Its widespread acceptance probably stems from the claim by its creators to have used successfully to predict the shares of US output that went to capital and labour during the period

Qualifications an objections

Reference

  1. See the article on the learning curve