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The Cobb-Douglas Production Function Revisited [PDF]
Springer Proceedings in Mathematics and Statistics, 2021 Charles Cobb and Paul Douglas in 1928 used data from the US manufacturing sector for 1899-1922 to introduce what is known today as the Cobb-Douglas production function that has been widely used in economic theory for decades. We employ the R programming language to fit the formulas for the parameters of the Cobb-Douglas production function generated by
Smirnov, Roman G., Wang, Kunpeng
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SpringerBriefs in Economics, 2015
We use the mosaic package to view a two input function—the Cobb-Douglas function—from different angles. We see how in the Cobb-Douglas production function output as a function of labour changes as we change the amount of capital or the level of technology. We see how we can graph isoquants.
Vikram Dayal
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We use the mosaic package to view a two input function—the Cobb-Douglas function—from different angles. We see how in the Cobb-Douglas production function output as a function of labour changes as we change the amount of capital or the level of technology. We see how we can graph isoquants.
Vikram Dayal
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Cobb-Douglas preferences under uncertainty [PDF]
Economic Theory, 2013 The problem under consideration is axiomatic foundations of individual preferences which generalize preferences of Cobb-Douglas (CD) type under uncertainty. The choice space is a set of simple real valued measurable functions \(\{\phi ,\varphi ,\dots\}\), called acts, which map elements of an abstract set \textit{S} of ``states of nature'' into a set ...
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DEA Cobb–Douglas Frontier and Cross-Efficiency [PDF]
Journal of the Operational Research Society, 2014 The current paper examines the cross-efficiency concept in data envelopment analysis (DEA). While cross-efficiency has appeal as a peer evaluation approach, it is often the subject of criticism, due mainly to the use of DEA weights that are often non-unique. As a result, cross-efficiency scores are routinely viewed as arbitrary in that they depend on a
Joe Zhu
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Estimation of the Cobb-Douglas Production Function
Econometrica, 1975WE CONSIDER THE PROBLEM of estimating the coefficients of the Cobb-Douglas production function when observations are obtained from a cross section of firms. Under the assumptions that the firms operate in competitive markets and maximize "actual" profits, a stochastic model of production of the firms can be ...
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1971
Of the Marshallian type of function, the best known and the most widely used is the Cobb-Douglas production function. It takes its name from Professor (one-time Senator) Douglas who, from empirical observation, inferred its properties, and to his colleague Cobb, a mathematician, who suggested the mathematical form which had those properties.
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Of the Marshallian type of function, the best known and the most widely used is the Cobb-Douglas production function. It takes its name from Professor (one-time Senator) Douglas who, from empirical observation, inferred its properties, and to his colleague Cobb, a mathematician, who suggested the mathematical form which had those properties.
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A Bayesian Application on Cobb‐Douglas Production Function
American Journal of Agricultural Economics, 1975Cobb-Douglas production functions estimated by least-squares methods have been widely applied in agriculture. Estimates based on cross-sectional samples of farms, as most studies have been, almost typically result in some elasticities for land and labor which are negative.
S. Roy Chowdhury +2 more
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The Cobb-Douglas Production Function
Mathematics Magazine, 1980(1980). The Cobb-Douglas Production Function. Mathematics Magazine: Vol. 53, No. 1, pp. 44-48.
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A Note on the Use of the Cobb‐Douglas Profit Function
American Journal of Agricultural Economics, 1986AbstractFactor demand and output supply functions formulated within the framework of the Cobb‐Douglas profit function have been widely used for the study of technological and production behavior of the farm firm. There are certain inbuilt rigidities in this function that have been very often construed as empirical findings by various authors.
Ramesh Chand, J. L. Kaul
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A stochastic approach to the Cobb-Douglas Production Function [PDF]
Economics Bulletin, 2007 This paper presents a stochastic approach to the theory of aggregateproduction function, based on the theory of stochastic differentialequations. The main result is that under certain restrictions the productionfunction converges from below to the Cobb-Douglas functionproviding further support for the conclusion drawn by Jones (2005).
Constantin Chilarescu, Nicolas Vaneecloo
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