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Econometric analysis of stochastic dominance : concepts, methods, tools, and applications / Yoon-Jae Whang.

By: Material type: TextTextSeries: Themes in modern econometricsPublisher: Cambridge : Cambridge University Press, 2019Description: 1 online resource (xvi, 262 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781108602204 (ebook)
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 330.01/51923 23
LOC classification:
  • HB135 .W464 2019
Online resources: Summary: 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.
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eBooks eBooks Central Library Economics Available EB0365

Title from publisher's bibliographic system (viewed on 17 Jan 2019).

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.

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