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Handbook of computational economics. Volume 3

Author: Karl Schmedders; Kenneth L Judd
Publisher: Amsterdam : North Holland, ©2014.
Series: Handbook of Computational Economics.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
Handbook of Computational Economics summarizes recent advances in economic thought, revealing some of the potential offered by modern computational methods. With computational power increasing in hardware and algorithms, many economists are closing the gap between economic practice and the frontiers of computational mathematics. In their efforts to accelerate the incorporation of computational power into mainstream  Read more...
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Genre/Form: Electronic books
Periodicals
Additional Physical Format: Print version:
Schmedders, Karl.
Handbook of Computational Economics Vol. 3.
Burlington : Elsevier Science, ©2013
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Karl Schmedders; Kenneth L Judd
ISBN: 9780080931784 0080931782
OCLC Number: 871322017
Description: 1 online resource (1 volume) : illustrations.
Contents: Half Title; Title Page; Copyright; Contents; Contributors; Acknowledgments; Introduction to the Series; Introduction for Volume 3 of the Handbook of Computational Economics; 1 Learning About Learning in Dynamic Economic Models*; 1 Introduction; 2 The Framework; 3 What We Have Learned; 3.1 Active Perturbation; 3.2 Rapid Decrease in Parameter Variances in the First Few Periods; 3.3 Nonconvexities; 3.4 Rankings; 3.5 Time-Varying Parameters; 3.6 Model Sizes; 4 What We Hope to Learn; 4.1 Accuracy; 4.2 Efficiency; 4.3 Rankings; 4.4 Nonconvexities; 4.5 Measurement Errors. 4.6 Time-Varying Parameters4.7 Monte Carlo Runs; 5 Algorithms and Codes; 6 A Showcase on Active Learning; 6.1 Outline of the Beck and Wieland Model; 6.2 Constant Parameters; 6.3 Time-Varying Parameters Version; 7 Learning with Forward Looking Variables; 7.1 Extending the Framework; 7.2 An Example; 8 Other Applications of Active Learning; 9 Summary; References; 2 On the Numerical Solution of Equilibria in Auction Models with Asymmetries within the Private-Values Paradigm; 1 Motivation and Introduction; 2 Theoretical Model; 2.1 Notation; 2.2 Derivation of Symmetric Bayes-Nash Equilibrium. 2.3 Bidders from Two Different Urns2.4 General Model; 2.5 Special Case; 2.6 Extensions; 2.6.1 Risk Aversion; 2.6.2 Collusion or Presence of Coalitions; 2.6.3 Procurement; 2.6.4 Bid Preferences; 3 Primer on Relevant Numerical Strategies; 3.1 Shooting Algorithms; 3.2 Projection Methods; 4 Previous Research Concerning Numerical Solutions; 4.1 Marshall et al. (1994); 4.2 Bajari (2001); 4.3 Fibich and Gavious (2003); 4.4 Gayle and Richard (2008); 4.5 Hubbard and Paarsch (2009); 4.6 Fibich and Gavish (2011); 4.7 Hubbard et al. (2013); 5 Some Examples. 6 Comparisons of Relative Performance and Potential Improvements6.1 Comparisons of Relative Performance; 6.2 Potential Improvements; 7 Summary and Conclusions; Acknowledgments; References; 3 Analyzing Fiscal Policies in a Heterogeneous-Agent Overlapping-Generations Economy; 1 Introduction; 2 Existing Literature; 3 Stylized Model Economy; 3.1 The Households; 3.1.1 The State Variables and the Government Policy; 3.1.2 The Household's Optimization Problem; 3.1.3 Perfect Annuity Markets [Optional]; 3.1.4 Natural Borrowing Constraint [Optional]; 3.1.5 The Household's Preference. 3.1.6 The Income Tax Function3.1.7 The Social Security System; 3.1.8 The Household's Decision Rules; 3.1.9 The Distribution of Households; 3.1.10 The Supply of Capital and Labor; 3.2 The Representative Firm; 3.2.1 A Closed Economy; 3.2.2 A Small Open Economy [Optional]; 3.3 The Government; 3.3.1 Accidental Bequests; 3.4 Recursive Competitive Equilibrium; 3.4.1 DEFINITION Recursive Competitive Equilibrium; 3.5 Social Welfare Measures; 3.5.1 The Veil of Ignorance; 3.5.2 Equivalent Variations; 3.5.3 Compensating Variations; 4 Computational Algorithm; 4.1 Solving the Household's Problem.
Series Title: Handbook of Computational Economics.
Responsibility: edited by Karl Schmedders, Kenneth L. Judd.

Abstract:

With computational power increasing in hardware and algorithms, many economists are closing the gap between economic practice and the frontiers of computational mathematics. This book summarizes  Read more...

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"...indispensable reference works which belong in every professional collection, and form ideal supplementary reading for graduate economics students on advanced courses."--Zentralblatt MATH, Sep-14 Read more...

 
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