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Stochastic frontier analysis, which is used to estimate the technical efficiency, is extended to examine the market structure, conduct and performance hypothesis for the U.S. trucking industry. The technical efficiency measure takes into account not only the relationship between inputs used in the production of output but also simultaneously examine the importance of market structure conduct factors on the performance of the firm. An empirical application to U.S. trucking carriers over the period 1994-2003 is examined. Results reveal that the variables average haul, average load, debt-to-equity and market concentration significantly affected technical efficiency. Capital, fixed and variable input variables were significant in the production function equation.
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The Beginnings of Behavioral Economics: Katona, Simon, and Leibenstein's X-Efficiency Theory explores the mid-20th century roots of behavioral economics, placing the origin of this now-dominant approach to economic theory many years before the groundbreaking 1979 work on prospect theory by Daniel Kahneman and Amos Tversky. It discusses the work of Harvey Leibenstein, Herbert Simon, George Katona, and Frederick Hayek, reintroducing their contributions as founding pillars of the behavioral approach. It concentrates on the work of Leibenstein, reviewing his nuanced introduction of X-efficiency theory. Building from these foundations, the work explores the body of empirical research on market power and firm behavior – XE relationship. This book is a tremendous resource for graduate students and early career researchers in behavioral economics, experimental economics, organizational economics, social and organizational psychology, labor market economics and public policy. - Reviews the powerful, but neglected contributions of mid-20th century scholars, like Leibenstein and Katona in building the roots of behavioral economic theory - Amalgamates and reviews 50 years of empirical research and over 200 empirical papers on X-efficiency theory - Establishes how X-efficiency can aid modern behavioral economics in further developing firm theory and understanding efficiency wages
The Efficient Market Hypothesis believes that it is impossible for an investor to outperform the market because all available information is already built into stock prices. However, some anomalies could persist in stock markets while some other anomalies could appear, disappear and re-appear again without any warning. A Special Issue on "Efficiency and Anomalies in Stock Markets" will be devoted to advancements in the theoretical development of market efficiency and anomaly in the Stock Market, as well as applications in Stock Market efficiency and anomalies.
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.
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.
Modern textbook presentations of production economics typically treat producers as successful optimizers. Conventional econometric practice has generally followed this paradigm, and least squares based regression techniques have been used to estimate production, cost, profit and other functions. In such a framework deviations from maximum output, from minimum cost and cost minimizing input demands, and from maximum profit and profit maximizing output supplies and input demands, are attributed exclusively to random statistical noise. However casual empiricism and the business press both make persuasive cases for the argument that, although producers may indeed attempt to optimize, they do not always succeed. This book develops econometric techniques for the estimation of production, cost and profit frontiers, and for the estimation of the technical and economic efficiency with which producers approach these frontiers. Since these frontiers envelop rather than intersect the data, and since the authors continue to maintain the traditional econometric belief in the presence of external forces contributing to random statistical noise, the work is titled Stochastic Frontier Analysis.