Download or read book Advanced Robust and Nonparametric Methods in Efficiency Analysis written by Cinzia Daraio and published by Springer Science & Business Media. This book was released on 2007-04-10 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a systematic and comprehensive treatment of recent developments in efficiency analysis, this book makes available an intuitive yet rigorous presentation of advanced nonparametric and robust methods, with applications for the analysis of economies of scale and scope, trade-offs in production and service activities, and explanations of efficiency differentials.
Download or read book A Non parametric Analysis of Productivity written by Jean-Paul Chavas and published by . This book was released on 1988 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Non parametric Analysis of Productivity written by Jean-Paul Chavas and published by . This book was released on 1987 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Efficiency Analysis by Production Frontiers written by Jati Sengupta and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Measuring productive efficiency for nonprofit organizations has posed a great challenge to applied researchers today. The problem has many facets and diverse implications for a number of disciplines such as economics, applied statistics, management science and information theory. This monograph discusses four major areas, which emphasize the applied economic and econometric as. pects of the production frontier analysis: A. Stochastic frontier theory, B. Data envelopment analysis, C. Clustering and estimation theory, D. Economic and managerial applications Besides containing an up-to-date survey of the mos. t recent developments in the field, the monograph presents several new results and theorems from my own research. These include but are not limited to the following: (1) interface with parametric theory, (2) minimax and robust concepts of production frontier, (3) game-theoretic extension of the Farrell and Johansen models, (4) optimal clustering techniques for data envelopment analysis and (5) the dynamic and stochastic generalizations of the efficiency frontier at the micro and macro levels. In my research work in this field I have received great support and inspiration from Professor Abraham Charnes of the University of Texas at Austin, who has basically founded the technique of data envelopment analysis, developed it and is still expanding it. My interactions with him have been most fruitful and productive. I am deeply grateful to him. Finally, I must record my deep appreciation to my wife and two children for their loving and enduring support. But for their support this work would not have been completed.
Download or read book International Applications of Productivity and Efficiency Analysis written by Thomas R. Gulledge and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: International Applications of Productivity and Efficiency Analysis features a complete range of techniques utilized in frontier analysis, including extensions of existing techniques and the development of new techniques. Another feature is that most of the contributions use panel data in a variety of approaches. Finally, the range of empirical applications is at least as great as the range of techniques, and many of the applications are of considerable policy relevance.
Download or read book Productivity Analysis written by A. Y. Lewin and published by . This book was released on 1995 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Productivity Analysis Parametric and Non parametric Applications written by and published by . This book was released on 1995 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Handbook of Production Economics written by Subhash C. Ray and published by Springer Nature. This book was released on 2022-06-02 with total page 1797 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume handbook includes state-of-the-art surveys in different areas of neoclassical production economics. Volumes 1 and 2 cover theoretical and methodological issues only. Volume 3 includes surveys of empirical applications in different areas like manufacturing, agriculture, banking, energy and environment, and so forth.
Download or read book An Introduction to Efficiency and Productivity Analysis written by Timothy J. Coelli and published by Springer Science & Business Media. This book was released on 2005-07-22 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Softcover version of the second edition Hardcover. Incorporates a new author, Dr. Chris O'Donnell, who brings considerable expertise to the project in the area of performance measurement. Numerous topics are being added and more applications using real data, as well as exercises at the end of the chapters. Data sets, computer codes and software will be available for download from the web to accompany the volume.
Download or read book Nonparametric Productivity Analysis written by Wolfgang K. Härdle and published by . This book was released on 2017 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can we measure and compare the relative performance of production units? If input and output variables are one dimensional, then the simplest way is to compute efficiency by calculating and comparing the ratio of output and input for each production unit. This idea is inappropriate though, when multiple inputs or multiple outputs are observed. Consider a bank, for example, with three branches A, B, and C. The branches take the number of staff as the input, and measures outputs such as the number of transactions on personal and business accounts. Assume that the following statistics are observed:Branch A: 60000 personal transactions, 50000 business transactions, 25 people on staff,Branch B: 50000 personal transactions, 25000 business transactions, 15 people on staff,Branch C: 45000 personal transactions, 15000 business transactions, 10 people on staff.We observe that Branch C performed best in terms of personal transactions per staff, whereas Branch A has the highest ratio of business transactions per staff. By contrast Branch B performed better than Branch A in terms of personal transactions per staff, and better than Branch C in terms of business transactions per staff. How can we compare these business units in a fair way? Moreover, can we possibly create a virtual branch that reflects the input/output mechanism and thus creates a scale for the real branches? Productivity analysis provides a systematic approach to these problems. We review the basic concepts of productivity analysis and two popular methods DEA and FDH, which are given in Sections 12.1 and 12.2, respectively. Sections 12.3 and 12.4 contain illustrative examples with real data.
Download or read book Practical Nonparametric Statistics written by W. J. Conover and published by . This book was released on 1980-09-17 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability theory; Statistical inference; Some tests based on the binomial distribution; Contingency tables; Some methods based on ranks; Statistics of the koolmogorov-smirnov type.
Download or read book Non Parametric Productivity Analysis with Undesirable Outputs written by A. Hailu and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This article extends the Chavas-Cox approach to non-parametric analysis by incorporating undesirable outputs to provide a more complete representation of the production technology. Inner and outer non-parametric technology bounds are constructed. The methods are illustrated with application to time series data for the Canadian pulp and paper industry. Conventional measures that ignore changes in pollutant outputs underestimate true productivity growth. Further, there is a large gap between estimates generated with reference to inner and outer bounds to the technology, suggesting that researchers need to be aware of the limitations of results derived from analyses relying only on DEA methods.
Download or read book Data Science and Productivity Analytics written by Vincent Charles and published by Springer. This book was released on 2021-05-23 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes a spectrum of concepts, such as performance, productivity, operations research, econometrics, and data science, for the practically and theoretically important areas of ‘productivity analysis/data envelopment analysis’ and ‘data science/big data’. Data science is defined as the collection of scientific methods, processes, and systems dedicated to extracting knowledge or insights from data and it develops on concepts from various domains, containing mathematics and statistical methods, operations research, machine learning, computer programming, pattern recognition, and data visualisation, among others. Examples of data science techniques include linear and logistic regressions, decision trees, Naïve Bayesian classifier, principal component analysis, neural networks, predictive modelling, deep learning, text analysis, survival analysis, and so on, all of which allow using the data to make more intelligent decisions. On the other hand, it is without a doubt that nowadays the amount of data is exponentially increasing, and analysing large data sets has become a key basis of competition and innovation, underpinning new waves of productivity growth. This book aims to bring a fresh look onto the various ways that data science techniques could unleash value and drive productivity from these mountains of data. Researchers working in productivity analysis/data envelopment analysis will benefit from learning about the tools available in data science/big data that can be used in their current research analyses and endeavours. The data scientists, on the other hand, will also get benefit from learning about the plethora of applications available in productivity analysis/data envelopment analysis.
Download or read book Productivity and Efficiency Analysis written by Christopher J. O'Donnell and published by Springer. This book was released on 2018-12-12 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a coherent description of the main concepts and statistical methods used to analyse economic performance. The focus is on measures of performance that are of practical relevance to policy makers. Most, if not all, of these measures can be viewed as measures of productivity and/or efficiency. Linking fields as diverse as index number theory, data envelopment analysis and stochastic frontier analysis, the book explains how to compute measures of input and output quantity change that are consistent with measurement theory. It then discusses ways in which meaningful measures of productivity change can be decomposed into measures of technical progress, environmental change, and different types of efficiency change. The book is aimed at graduate students, researchers, statisticians, accountants and economists working in universities, regulatory authorities, government departments and private firms. The book contains many numerical examples. Computer codes and datasets are available on a companion website.
Download or read book Nonparametric Statistics written by Gregory W. Corder and published by John Wiley & Sons. This book was released on 2014-04-14 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: “...a very useful resource for courses in nonparametric statistics in which the emphasis is on applications rather than on theory. It also deserves a place in libraries of all institutions where introductory statistics courses are taught." –CHOICE This Second Edition presents a practical and understandable approach that enhances and expands the statistical toolset for readers. This book includes: New coverage of the sign test and the Kolmogorov-Smirnov two-sample test in an effort to offer a logical and natural progression to statistical power SPSS® (Version 21) software and updated screen captures to demonstrate how to perform and recognize the steps in the various procedures Data sets and odd-numbered solutions provided in an appendix, and tables of critical values Supplementary material to aid in reader comprehension, which includes: narrated videos and screen animations with step-by-step instructions on how to follow the tests using SPSS; online decision trees to help users determine the needed type of statistical test; and additional solutions not found within the book.
Download or read book Nonparametric Measurement of Productivity Growth and Technical Change written by Subhash C. Ray and published by Now Publishers. This book was released on 2024-08-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonparametric Measurement of Productivity Growth and Technical Change explains how to isolate technical progress, scale effects, and efficiency changes as three distinct components of productivity change measured empirically using the nonparametric method of Data Envelopment Analysis (DEA). Section 2 provides a brief theoretical background, starting from the production possibility set, listing the basic assumptions about the reference technology, and defining the Shephard output and input distance functions, as well as technical change as shifts in the frontier of the production possibility set. Section 3 demonstrates how total factor productivity can be measured and decomposed into technical change, technical efficiency change, and scale effects using parametrically specified production, cost, profit, or distance functions. Section 4 explains the nonparametric method of DEA and formulates appropriate models for measuring input- or output-oriented technical efficiency, cost efficiency, and profit efficiency. Section 5 considers productivity change in discrete time. Section 6 explains the relationship between alternative productivity indexes and the Luenberger productivity indicator. Finally, Section 7 concludes with a summary and acknowledges several important topics related to the nonparametric measurement of productivity change not covered in this monograph, including the explicit accommodation of random noise in the DEA models, accounting for bad outputs, and the aggregation of firm-level measures of productivity change for comparison across groups.
Download or read book Quantitative Methods for Economics and Finance written by J.E. Trinidad-Segovia and published by MDPI. This book was released on 2021-02-12 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of papers for the Special Issue “Quantitative Methods for Economics and Finance” of the journal Mathematics. This Special Issue reflects on the latest developments in different fields of economics and finance where mathematics plays a significant role. The book gathers 19 papers on topics such as volatility clusters and volatility dynamic, forecasting, stocks, indexes, cryptocurrencies and commodities, trade agreements, the relationship between volume and price, trading strategies, efficiency, regression, utility models, fraud prediction, or intertemporal choice.
