Nonparametric Comparative Statics and Stability.

By:

Hale, Douglas

Contributor(s):

Material type: Text

TextSeries: Princeton legacy libraryPublication details: Princeton : Princeton University Press, 2014.Description: 1 online resource (253 pages)Content type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9781400865031
1400865034
9781306983655
1306983657

Subject(s): Genre/Form:

Additional physical formats: Print version:: Nonparametric Comparative Statics and Stability.DDC classification:

330.0151

LOC classification:

HB135

Online resources:

Click here to access online

Contents:

Frontmatter -- Contents -- Preface -- 1. Nonparametric Analysis -- 2. Qualitative Comparative Statics and Stability -- 3. Information and Invertibility -- 4. Applications in Qualitative Comparative Statics -- 5. The Maximization Hypothesis -- 6. The Correspondence Principle -- 7. The Competitive Equilibrium: Comparative Statics -- 8. The Competitive Equilibrium: Stability -- Notes -- Bibliography -- Name Index -- Subject Index

Summary: The authors, leading researchers in the fields of mathematical economics and methodology, present the first comprehensive synthesis of literature on qualitative and other nonparametric techniques, which are important elements of comparative statics and stability analysis in economic theory. The topics covered show how to assess the comparative statics and stability of economic models without a precise quantitative knowledge of all model components. Applications of the analysis range from determining refutable hypotheses from theory to auditing the solutions of large, computer-based systems.

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The authors, leading researchers in the fields of mathematical economics and methodology, present the first comprehensive synthesis of literature on qualitative and other nonparametric techniques, which are important elements of comparative statics and stability analysis in economic theory. The topics covered show how to assess the comparative statics and stability of economic models without a precise quantitative knowledge of all model components. Applications of the analysis range from determining refutable hypotheses from theory to auditing the solutions of large, computer-based systems.

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