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This book provides practitioners with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach.
Written in a comprehensive yet accessible style, this Handbook introduces readers to a range of modern empirical methods with applications in microeconomics, illustrating how to use two of the most popular software packages, Stata and R, in microeconometric applications.
The present Special Issue collects a number of new contributions both at the theoretical level and in terms of applications in the areas of nonparametric and semiparametric econometric methods. In particular, this collection of papers that cover areas such as developments in local smoothing techniques, splines, series estimators, and wavelets will add to the existing rich literature on these subjects and enhance our ability to use data to test economic hypotheses in a variety of fields, such as financial economics, microeconomics, macroeconomics, labor economics, and economic growth, to name a few.
Explicit deposit insurance (DI) is widely held to be a crucial element of modern financial safety nets. This book draws on an original cross-country dataset on DI systems and design features to examine the impact of DI on banking behavior and assess the policy complications that emerge in developing countries.
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.
This book provides a comprehensive summary of the latest academic research on the important topic of too-big-to-fail (TBTF) in banking. It explains TBTF from various perspectives including the range of regulatory measures proposed to counter TBTF, most notably the globally accepted regulation of global-systemically important banks (G-SIBs) and its main tool of capital surcharges. The empirical analysis quantifies the shareholder value of the G-SIB attribution by using quarterly observations from more than 750 global banks between Q2 2008 and Q3 2015. The main finding is that G-SIBs are confronted with a substantial relative valuation discount compared to non-G-SIBs. From the end of 2011 unti...
The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.