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Mathematically, a supply curve is represented by a supply function, giving the quantity supplied as a function of its price and as many other variables as desired to better explain quantity supplied. The two most common specifications are: 1) linear supply function, e.g., the slanted line =, and
Supply is often plotted graphically as a supply curve, with the price per unit on the vertical axis and quantity supplied as a function of price on the horizontal axis. This reversal of the usual position of the dependent variable and the independent variable is an unfortunate but standard convention.
When supply and demand are linear functions the outcomes of the cobweb model are stated above in terms of slopes, but they are more commonly described in terms of elasticities. The convergent case requires that the slope of the (inverse) supply curve be greater than the absolute value of the slope of the (inverse) demand curve:
Thus, a supply curve with steeper slope (bigger dP/dQ and thus smaller dQ/dP) is less elastic, for given P and Q. Along a linear supply curve such as Q = a + b P the slope is constant (at 1/b) but the elasticity is b(P/Q), so the elasticity rises with greater P both from the direct effect and the increase in Q(P).
The natural generalization of a linear utility function to that model is an additive set function. This is the common case in the theory of fair cake-cutting. An extension of Gale's result to this setting is given by Weller's theorem. Under certain conditions, an ordinal preference relation can be represented by a linear and continuous utility ...
The identification conditions require that the system of linear equations be solvable for the unknown parameters.. More specifically, the order condition, a necessary condition for identification, is that for each equation k i + n i ≤ k, which can be phrased as “the number of excluded exogenous variables is greater or equal to the number of included endogenous variables”.
Wire-grid Cobb–Douglas production surface with isoquants A two-input Cobb–Douglas production function with isoquants. In economics and econometrics, the Cobb–Douglas production function is a particular functional form of the production function, widely used to represent the technological relationship between the amounts of two or more inputs (particularly physical capital and labor) and ...
Then the general expression of a structural form is (,,) =, where f is a function, possibly from vectors to vectors in the case of a multiple-equation model. The reduced form of this model is given by Y = g ( X , ε ) {\displaystyle Y=g(X,\varepsilon )} , with g a function.