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3 edition of Estimation and identification of Cobb-Douglas production functions. found in the catalog.

Estimation and identification of Cobb-Douglas production functions.

Marc Nerlove

Estimation and identification of Cobb-Douglas production functions.

by Marc Nerlove

  • 165 Want to read
  • 14 Currently reading

Published by Rand McNally, North-Holland in Chicago, Amsterdam .
Written in English


ID Numbers
Open LibraryOL13713593M

1. Background. Two models are commonly used in the estimation of hospital production function: the Cobb–Douglas model and the transcendental logarithmic (translog) –Douglas has long been popular among economists because it is easy to work with and can explain the substitution between health care by: 3. Among various production functions, the translog production function and the Cobb-Douglas (CD) production function are widely used in the current literature [47] [48][49]. In particular, the CD Author: Florin Marius Pavelescu.

Chapter 4 Practice Questions: 1) Suppose we know that output in the economy is given by the production function: Y t=A tKt 1/3 L t 2/3 If technology is growing at a rate of 1% per year, the capital stock by 3%, and the labor supply by 2%,File Size: 55KB. the identification problem, the challenge of estimating static models with time series data, and the question of how to introduce stochastic elements into econometric models. Although Douglas’s research was widely discussed in the period prior to WWII, few economists outside of Douglas’s group actually estimated Cobb-Douglas regressions.

A Note on the Estimation of Cobb‐Douglas Production Functions When Some Explanatory Variables Have Zero Values Article (PDF Available) in Journal of Agricultural Economics 48() Author: George Battese. INTERNATIONAL ECONOMIC REVIEW Vol. 18, No. 2, June, EFFICIENCY ESTIMATION FROM COBB-DOUGLAS PRODUCTION FUNCTIONS WITH COMPOSED ERROR* BY WIM MEFUSEN AND JULIEN VAN DEN B3ROECK' 1. INTRODUCTION In the recent economic literature (Aigner and Chu [2], F0rsund and Hjalmarsson [5], Seitz [11], and Timmer [12]), in continuation of the research.


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Estimation and identification of Cobb-Douglas production functions by Marc Nerlove Download PDF EPUB FB2

Estimation and identification of Cobb-Douglas production functions [Nerlove, Marc] on *FREE* shipping on qualifying offers. Estimation and identification of Cobb-Douglas production functionsAuthor: Marc Nerlove. Estimation and identification of Cobb-Douglas production functions by Marc Nerlove,Rand McNally edition, in EnglishCited by: " Estimation and identification of Cobb-Douglas production functions " Save as: AGRIS_AP Estimation and identification of Cobb-Douglas production functions [] Nerlove, Marc.

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general form of Cobb-Douglas Production function is: X= f (K, L) (1) X= β 0 K1Lb -b (2) X is output and appeared as a dependent variable, while capital (K) and labour (L) are independent variables. In our regression analysis, we will find out the effect of factors of production on Size: KB.

In deciding whether the Cobb-Douglas production function is the correct specification, it is important to recognize that it is only one, although the most popular, form of production function.

Buy Estimation And Identification Of Cobb-Douglas Production Functions by Nerlove Marc (ISBN:) from Amazon's Book Store. Everyday low prices and free delivery on eligible : Nerlove Marc.

Estimation of Production Functions 1. Introduction The estimation of –rms™cost functions in Empirical IO plays an important role in any empirical study of industry competition. As explained in chapter 1, data on production costs at the level of individual –rm-market-product is very rare, and for this reason costsFile Size: KB.

Estimation and identification of Cobb-Douglas production functions. [Marc Nerlove] -- An illustrative material in a mathematical variant of intermediate price theory. Discusses the possibilities of identification and estimation of production function parameter under dynamic.

Cobb-Douglas [] Data Set (Logarithmic Scale) Log (K) Log (Y) Log (L) With the help of Cobb, Douglas estimated econometrically what is known today as the “Cobb-Douglas” production function. This seminal paper plays a paramount role in. Estimating Production Functions PaulSchrimpf Ackerberg, Caves,and Frazer() CollinearityinOP ACFestimator Relationtodynamic panel Empiricalexample Gandhi, Navarro,and Rivers() Identification problem Identificationfrom firstorderconditions Valueaddedvsgross production Empiricalresults Critiquesandextensions • LevinsohnandPetrin( File Size: KB.

is a platform for academics to share research papers. ADVERTISEMENTS: Four most important produc­tion functions are: 1. Linear Homogeneous Production Function, 2. Cobb-Douglas Production Function 3. Constant Elasticity of Substitution Production Function and 4.

Variable Elasticity Substitution Production Function. The production function is the central part of production theory and as such there is a theoretical interest in its.

sampling theory estimation procedures are developed for the new model. In contrast with the traditional model, it is found that classical least squares provides consistent estimators of the parameters of the Cobb-Douglas production function.

With a normality assumption, these are also unbiased and maximum likelihood estimators. and estimation of parameters for a correctly speci–ed Cobb Douglas production function. We focus on the case where input prices are common to all –rms at the same point in time, and where any observed time series variation in these common input prices cannot be used to identify production function parameters due to the.

Some aspects of the econometric estimation of production functions are discussed, focussing primarily on the issue of simultaneity and reviewing the stream of criticisms of Douglas' work and the response to it.

We look in particular at the work that uses panel data on micro data for plants or firms and at some more recent multi-equation extensions of it. Derive the cost function and conditional factor demands for the Cobb-Douglas utility function of the form: q= f(z 1,z 2) = zα 1 z β 2 Thecostminimizationproblemis: Min z 1,z 2 w 1z 1 +w 2z 2 subjecttoq= f(z 1,z 2), whereqisanarbitraryoutputlevel.

TheLagrangefunctionis: L= w 1z 1 +w 2z 2 −λ(f(z 1,z 2)−q), Thefirstorderconditions; ∂L File Size: KB. estimation of parameters which are common to all farmers. The "zero-observation" problem in production function analyses has been addressed in a number of different ways.

As stated above, some empirical economists, seeking to estimate Cobb-Douglas or translog production functions. The Cobb-Douglas production function is often used to estimate the benefit of water use and the value of water; however, this is an incorrect application.

A typical example of the inapplicability is that a negative output elasticity of water resources may be reached when empirical data is collected from the United States, Japan and the city of Beijing in China, where economic growth still Cited by: 3. Production functions relate output to inputs (e.g.

capital, labor). Perhaps the major econometric issue in estimating production functions is the possibility that there are determinants of production that are unobserved to the econometrician but observed by the –rm.

If this is the case, and if the observed inputs are chosen as a functionFile Size: KB. How to use excel to estimate the Cobb-Douglas Production function - Duration: DrJiang Jin views. The Theory of Production, Marginal Product, Average Product - .An Assessment of CES and Cobb-Douglas Production Functions 1 Eric Miller E-mail: @ Congressional Budget Office June 1Working papers in this series are preliminary and are circulated to stimulate discussion and critical Size: KB.