1944
DOI: 10.2307/1905566
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Production Functions: Cobb-Douglas, Interfirm, Intrafirm

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Cited by 26 publications
(17 citation statements)
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“…Sama funkcja typu Cobb-Douglasa znalazła również zastosowanie w analizie mikroekonomicznej [Reder, 1943;Bronfenbrenner, 1944]. Jednocześnie dla klasy funkcji mikroekonomicznych zredukowano problem homogeniczności czynników produkcji uwzględnia-nych w funkcjach produkcji.…”
Section: Powstanie I Ewolucja Modeli Funkcji Produkcjiunclassified
“…Sama funkcja typu Cobb-Douglasa znalazła również zastosowanie w analizie mikroekonomicznej [Reder, 1943;Bronfenbrenner, 1944]. Jednocześnie dla klasy funkcji mikroekonomicznych zredukowano problem homogeniczności czynników produkcji uwzględnia-nych w funkcjach produkcji.…”
Section: Powstanie I Ewolucja Modeli Funkcji Produkcjiunclassified
“…Issues related to the dependence of the frontier on fixed inputs had been discussed in the literature on interfirm and intrafirm production functions and related issues, Reder (1943), Bronfenbrenner (1944), Smith (1945), and more recently formulated for empirical analysis in the form of the Putty-Clay production functions (Fuss 1977 "Thus defined, the metaproduction may appear to be the same as the innovation possibility curve advanced in Figure 4-2 in the previous chapter. In fact, we consider the metaproduction function an operational definition of the innovation possibility curve-operational in the sense that it can be measured empirically from observable production data.…”
Section: Efficiency Frontier Production Functionsmentioning
confidence: 99%
“…For k inputs, there would be (k-l) identities in (2). When nearly exact multicollinearity exists, the equations in (2) could be estimated by least squares.…”
Section: P2 +P1dmentioning
confidence: 99%
“…For k inputs, there would be (k-l) identities in (2). When nearly exact multicollinearity exists, the equations in (2) could be estimated by least squares. A common practice when the two input variables are found to be perfectly correlated involves dividing the dependent variable and the remaining independent variable by one of the two perfectly correlated inputs and estimating an equation based on the averages.…”
Section: P2 +P1dmentioning
confidence: 99%