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Consistent Testing for Stochastic Dominance
Author: Oliver B. Linton
Publisher:
Published: 2008
Total Pages: 50
ISBN-13:
DOWNLOAD EBOOK →We study a very general setting, and propose a procedure for estimating the critical values of the extended Kolmogorov-Smirnov tests of First and Second Order Stochastic Dominance due to McFadden (1989) in the general k-prospect case. We allow for the observations to be generally serially dependent and, for the first time, we can accommodate general dependence amongst the prospects which are to be ranked. Also, the prospects may be the residuals from certain conditional models, opening the way for conditional ranking. We also propose a test of Prospect Stochastic Dominance. Our method is based on subsampling and we show that the resulting data tests are consistent.
Studies in the Economics of Uncertainty
Author: Thomas B. Fomby
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 233
ISBN-13: 1461389224
DOWNLOAD EBOOK →Studies in the Economics of Uncertainty presents some new developments in the economics of uncertainty produced by leading scholars in the field. The contributions to this Festschrift in honor of Professor Josef Hadar of Southern Methodist University cover a broad range of topics centered on the principle of Stochastic Dominance. Topics covered range from theoretical and statistical developments on Stochastic Dominance to new applications of the Stochastic Dominance Theory. The intended audience includes researchers interested in recent developments in tools used for decision-making under uncertainty as well as economists currently applying Stochastic Dominance principles to the analysis of the Theory of Firm, International Trade, and the Theory of Finance.
Consistent Testing for Stochastic Dominance
Stochastic Dominance and Applications to Finance, Risk and Economics
Author: Songsak Sriboonchita
Publisher: CRC Press
Published: 2009-10-19
Total Pages: 455
ISBN-13: 9781420082678
DOWNLOAD EBOOK →Drawing from many sources in the literature, Stochastic Dominance and Applications to Finance, Risk and Economics illustrates how stochastic dominance (SD) can be used as a method for risk assessment in decision making. It provides basic background on SD for various areas of applications. Useful Concepts and Techniques for Economics ApplicationsThe
Econometric Analysis of Stochastic Dominance
Author: Yoon-Jae Whang
Publisher: Cambridge University Press
Published: 2019-01-31
Total Pages: 279
ISBN-13: 1108690475
DOWNLOAD EBOOK →This book offers an up-to-date, comprehensive coverage of stochastic dominance and its related concepts in a unified framework. A method for ordering probability distributions, stochastic dominance has grown in importance recently as a way to measure comparisons in welfare economics, inequality studies, health economics, insurance wages, and trade patterns. Whang pays particular attention to inferential methods and applications, citing and summarizing various empirical studies in order to relate the econometric methods with real applications and using computer codes to enable the practical implementation of these methods. Intuitive explanations throughout the book ensure that readers understand the basic technical tools of stochastic dominance.
Stochastic dominance in portfolio analysis and asset pricing
Author: Andrey M. Lizyayev
Publisher: Rozenberg Publishers
Published: 2010
Total Pages: 136
ISBN-13: 9036101875
DOWNLOAD EBOOK →Advances in the use of stochastic dominance in asset pricing
Author: Philippe Johannes Petrus Marie Versijp
Publisher: Rozenberg Publishers
Published: 2007
Total Pages: 128
ISBN-13: 9051709358
DOWNLOAD EBOOK →Advances on Income Inequality and Concentration Measures
Author: Gianni Betti
Publisher: Routledge
Published: 2008-04-24
Total Pages: 369
ISBN-13: 1134068018
DOWNLOAD EBOOK →This impressive collection from leading distributional analysts provides an overview of a wide range of economic, statistical and sociological relationships. The resulting book deserves its place on the bookshelf of serious mathematical economists everywhere.
Distribution Theory for Tests Based on Sample Distribution Function
Author: J. Durbin
Publisher: SIAM
Published: 1973-01-31
Total Pages: 73
ISBN-13: 0898710073
DOWNLOAD EBOOK →Presents a coherent body of theory for the derivation of the sampling distributions of a wide range of test statistics. Emphasis is on the development of practical techniques. A unified treatment of the theory was attempted, e.g., the author sought to relate the derivations for tests on the circle and the two-sample problem to the basic theory for the one-sample problem on the line. The Markovian nature of the sample distribution function is stressed, as it accounts for the elegance of many of the results achieved, as well as the close relation with parts of the theory of stochastic processes.
