rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: The
    title: Palgrave Handbook of Economic Performance Analysis
  name:
    name part: ten Raa, Thijs.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Greene, William H.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 759 p. 37 illus., 17 illus. in color. online resource.
  abstract: This Handbook takes an econometric approach to the foundations of economic performance analysis. The focus is on the measurement of efficiency, productivity, growth and performance. These concepts are commonly measured residually and difficult to quantify in practice. In real-life applications, efficiency and productivity estimates are often quite sensitive to the models used in the performance assessment and the methodological approaches adopted by the analysis. The Palgrave Handbook of Performance Analysis discusses the two basic techniques of performance measurement - deterministic benchmarking and stochastic benchmarking - in detail, and addresses the statistical techniques that connect them. All chapters include applications and explore topics ranging from the output/input ratio to productivity indexes and national statistics.
  table of contents: 1. Introduction- William H. Greene and Thijs ten Raa -- 2. Micro foundations of earnings differences- Tirthatanmoy Das and Solomon W. Polachek -- 3. Performance: The output/input ratio- Thijs ten Raa -- 4. R&D, innovation and productivity- Pierre Mohnen -- 5. The choice of comparable DMUs and environmental variables- John Ruggiero -- 6. Data Envelopment Analysis with alternative returns to scale- Subhash Ray -- 7. Ranking methods within Data Envelopment Analysis- Nicole Adler and Nicola Volta -- 8. Distributional forms in Stochastic Frontier Analysis- Alexander D. Stead, Phill Wheat, and William H. Greene -- 9. Stochastic frontier models for discrete output variables- Eduardo Fe -- 10. Nonparametric statistical analysis of production- Camilla Mastromarco, Leopold Simar, and Paul W. Wilson -- 11. Bayesian performance evaluation- Mike G. Tsionas -- 12. Common methodological choices in parametric and non-parametric analyses of firms' performance- Luis Orea/Jose Zofio -- 13. Pricing inputs and outputs: Market prices versus shadow prices, market power, and welfare analysis- Aditi Bhattacharyya, Levent Kutlu, and Robin C. Sickles -- 14. Aggregation of individual efficiency measures and productivity indices- Andreas Mayer and Valentin Zelenyuk -- 15. Intermediate inputs and industry studies: Input-Output Analysis- Victoria Shestalova -- 16. Modelling environmental adjustments of production technologies: A literature review- K. Hervé Dakpo and Frederic Ang -- 17. An overview of issues in measuring the performance of national economies- Anthony Glass, Karligash Kenjegalieva, Robin C Sickles, and Thomas Weyman-Jones -- 18. Productivity indexes and national statistics: Theory, methods and challenges- W. Erwin Diewert and Kevin J. Fox. .
  note: edited by Thijs ten Raa, William H. Greene.
  subject:
    topic: Econometrics
  subject:
    topic: Microeconomics
  subject:
    topic: Macroeconomics
  subject:
    topic: Statistics
  subject:
    topic: Econometrics
  subject:
    topic: Microeconomics
  subject:
    topic: Macroeconomics/Monetary Economics//Financial Economics
  subject:
    topic: Statistics for Business, Management, Economics, Finance, Insurance
  classification: HB139-141
  classification: 330.015195
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783030237271
  identifier: https://doi.org/10.1007/978-3-030-23727-1
  record info:
    record creation date: 191213
    record change date: 20191213193738.0
    record identifier: 978-3-030-23727-1