Download or read book The CES Production Function with Its Estimation Techniques written by Chumphot Suwaphōn and published by . This book was released on 1976 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Estimation of CES Production function when There are More Than Two Inputs written by and published by . This book was released on 1972 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Estimation of the CES production function a comparison written by Rainer Thoss and published by . This book was released on 1967 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An Alternative Estimation of CES Production Function written by K. Venkatesu and published by LAP Lambert Academic Publishing. This book was released on 2014-01 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the present book Chapter-I is an introductory one. It states the main aims of the study and source of data about different variables . Chapter-II gives a survey of the literature about all the existing alternative methods of estimation of CES production function. It clearly shows how considerable research has been reported on the estimation of CES function. Chapter-III proposes an alternative method of estimation of CES production function using Kmenta's (1967) approach to the production function. Chapter-IV deals with the empirical investigation of the present study. It includes the empirical results about the estimates of parameters of CES production function using a time series data. Several References are listed in separate title of Bibilography.
Download or read book The Theory and Estimation of the CES Production Function written by Susan M. Hocking and published by . This book was released on 1968 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Essays on Production Function Estimation written by Mert Demirer and published by . This book was released on 2020 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: This first chapter develops a new method for estimating production functions with factor-augmenting technology and assesses its economic implications. The method does not impose parametric restrictions and generalizes prior approaches that rely on the CES production function. I first extend the canonical Olley-Pakes framework to accommodate factor-augmenting technology. Then, I show how to identify output elasticities based on a novel control variable approach and the optimality of input expenditures. I use this method to estimate output elasticities and markups in manufacturing industries in the US and four developing countries. Neglecting labor-augmenting productivity and imposing parametric restrictions mismeasures output elasticities and heterogeneity in the production function. My estimates suggest that standard models (i) underestimate capital elasticity by up to 70 percent (ii) overestimate labor elasticity by up to 80 percent. These biases propagate into markup estimates inferred from output elasticities: markups are overestimated by 20 percentage points. Finally, heterogeneity in output elasticities also affects estimated trends in markups: my estimates point to a much more muted markup growth (about half) in the US manufacturing sector than recent estimates. The second chapter develops partial identification results that are robust to deviations from the commonly used control function approach assumptions and measurement errors in inputs. In particular, the model (i) allows for multi-dimensional unobserved heterogeneity,(ii) relaxes strict monotonicity to weak monotonicity, (iii) accommodates a more flexible timing assumption for capital. I show that under these assumptions production function parameters are partially identified by an 'imperfect proxy' variable via moment inequalities. Using these moment inequalities, I derive bounds on the parameters and propose an estimator. An empirical application is presented to quantify the informativeness of the identified set. The third chapter develops an approach in which endogenous networks is a source of identification in estimations with network data. In particular, I study a linear model where network data can be used to control for unobserved heterogeneity and partially identify the parameters of the linear model. My method does not rely on a parametric model of network formation. Instead, identification is achieved by assuming that the network satisfies latent homophily - the tendency of individuals to be linked with others who are similar to themselves. I first provide two definitions of homophily: weak and strong homophily. Then, based on these definitions, I characterize the identified sets and show that they are bounded under weak conditions. Finally, to illustrate the method in an empirical setting, I estimate the effects of education on risk preferences and peer effects using social network data from 150 Chinese villages.
Download or read book Estimation of Ces Production function when There are More Than Two Inputs written by V. Mukerji and published by . This book was released on 1972 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Constant Elasticity of Substitution Production Function and Its Application in Research written by Marlen Frederick Miller and published by . This book was released on 1975 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An Essay on C E S Production Function Theory and Estimation written by Francisco Jorge Patino-Leal and published by . This book was released on 1971 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Critical Examination of Techniques for Estimating Parameters in the Non linear C E S Production Function written by M. J. Baxter and published by . This book was released on 1975 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Note on Numerical Estimation of Sato s Two Level Ces Production Function written by Sudhanshu K. Mishra and published by . This book was released on 2006 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper Sato's two-level CES production function has been estimated by nonlinear regression carried out through five different methods of optimization, namely, the Hooke-Jeeves Pattern Moves (HJPM), the Hooke-Jeeves-Quasi-Newton (HJQN), the Rosenbrock-Quasi-Newton (RQN), the Differential Evolution (DE) and the Repulsive Particle Swarm methods (RPS). The last two methods are particularly suited to optimization of extremely nonlinear (often multimodal) objective functions. While data may be containing outliers, the method of least squares has a clear disadvantage as it may be pulled by extremely small or large errors. The absolute deviation estimation of parameters is more suitable in such cases. This paper has made an attempt to estimation of parameters of Sato's two-level CES production function by minimizing the sum of absolute errors. While the HJPM and the HJQN perform poorly at minimizing the sum of absolute deviations, the RQN performs much better. The DE and the RPS perform very well in estimating the parameters. We also estimate the parameters of a production function in which the output is determined by capital, labour and energy. The model is in the family of the Linear exponentials (LINEX) type. To estimate this model, we use German Sector "Market-determined Services" data for the years 1960-1989. Using the same data, we also estimate Sato's function with constant as well as variable returns to scale. Estimation has been done by minimization of the absolute deviations. Minimization has been done by Particle Swarm and Differential Evolution methods. The models fit extremely well to the data.
Download or read book On Estimation of Deep Nested CES Production Functions written by Haoqi Qian and published by . This book was released on 2018 with total page 63 pages. Available in PDF, EPUB and Kindle. Book excerpt: The constant elasticity of substitution (CES) function is an important function that is widely used in both theoretical analysis and applied economics. We propose a systematic framework to estimate the deep nested CES function using the nonlinear least squares (NLS) method. This method fills the gap between current empirical studies and large-scale applied economic models such as computable general equilibrium (CGE) models. We estimate the elasticities of substitution at both the regional and sectoral levels using this framework. The results indicate that some elasticities of substitution are larger than those in the existing literature. In addition, our results emphasize the heterogeneity of the elasticities of substitution across regions and sectors during application.
Download or read book A Critical Examination of Techniques for Estimating Parameters in the Non linear C E S Production Function written by M. J. Baxter and published by . This book was released on 1975 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book On the Estimation of a Non neutral CES Production Function written by Y. (Yehuda) Kotowitz and published by Institute for Policy Analysis, University of Toronto. This book was released on 1968* with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Study of the Approximation and Estimation of CES Production Functions written by Elena Lagomarsino and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Estimation of Ces Production Functions for Us Manufacturing by Input output Sector written by Bruce T. Grimm and published by . This book was released on 1969 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tests conducted as part of the study indicate that the Leontief and Cobb-Douglas production functions are of limited worth in representing productive processes as industry aggregates.
Download or read book The Endogenous Energy Saving Technological Change in China s Industrial Sector written by Xubo He and published by Springer Nature. This book was released on 2022-11-29 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: As improving energy efficiency and increasing energy R&D investment may be the main means for China's industrial sector to achieve sustainable growth, this book attempts to unify energy use efficiency and energy R&D inputs into a standardized economic analysis framework. By distinguishing between energy R&D inputs and non-energy R&D inputs, this book draws on the research paradigm of neoclassical economics to clarify the basic concepts and endogenous mechanisms of energy-saving technological progress as a logical starting point. Under the framework of the existing endogenous growth theory analysis, the heterogeneous R&D inputs are divided into two different mechanisms that affect energy use efficiency, namely factor substitution effect and energy-efficient input increase effect, and a heterogeneous R&D input is constructed. This book constructed an analytical framework for endogenous energy-saving technological progress in the industrial sector based on heterogeneous R&D inputs; it established a mathematical model for the endogenous energy-saving technological advancement of the industrial sector based on heterogeneous R&D inputs; it estimated the energy-saving technological progress rate of 37 Chinese industrial sub-sectors from 1980 to 2010; fourth, it has empirically examined the relationship between the heterogeneous R&D investment in China's industrial sector and its energy-saving technological advancement rate.
