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Economic Dynamics, second edition

Theory and Computation

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Paperback
$75.00 US
7"W x 9"H x 0.72"D   (17.8 x 22.9 x 1.8 cm) | 21 oz (601 g) | 22 per carton
On sale Aug 16, 2022 | 400 Pages | 9780262544771
Sales rights: World

The second edition of a rigorous and example-driven introduction to topics in economic dynamics that emphasizes techniques for modeling dynamic systems.

This text provides an introduction to the modern theory of economic dynamics, with emphasis on mathematical and computational techniques for modeling dynamic systems. Written to be both rigorous and engaging, the book shows how sound understanding of the underlying theory leads to effective algorithms for solving real-world problems. The material makes extensive use of programming examples to illustrate ideas, bringing to life the abstract concepts in the text. Key topics include algorithms and scientific computing, simulation, Markov models, and dynamic programming. Part I introduces fundamentals and part II covers more advanced material. This second edition has been thoroughly updated, drawing on recent research in the field.

New for the second edition:
  • “Programming-language agnostic” presentation using pseudocode.
  • New chapter 1 covering conceptual issues concerning Markov chains such as ergodicity and stability.
  • New focus in chapter 2 on algorithms and techniques for program design and high-performance computing.
  • New focus on household problems rather than optimal growth in material on dynamic programming.
  • Solutions to many exercises, code, and other resources available on a supplementary website.
  • John Stachurski is Professor of Economics at Australian National University and cofounder of QuantEcon. He is the author of A Primer in Econometric Theory (MIT Press).
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    •     Zambia
    •     Zimbabwe

    Preface xiii
    Common Symbols xvii
    I Introduction to Dynamics 1
    1 Introduction 3
    2 Programming 25
    3 Analysis in Metric Space 39
    4 Introduction to Dynamics 59
    5 Further Topics for finite MCs 99
    6 Infinite State Space 115
    II Advances Techniques 153
    7 Integration 155
    8 Density Markov Chains 185
    9 Measure-Theoretic Probability 209
    10 Stochastic Dynamic Programming 227
    11 Stochastic Dynamics 247
    12 More Stochastic Dynamic Programming 295
    III Appendixes 315
    A Real Analysis 317
    B Chapter Appendixes 339
    Bibliography 357
    Index 369

    About

    The second edition of a rigorous and example-driven introduction to topics in economic dynamics that emphasizes techniques for modeling dynamic systems.

    This text provides an introduction to the modern theory of economic dynamics, with emphasis on mathematical and computational techniques for modeling dynamic systems. Written to be both rigorous and engaging, the book shows how sound understanding of the underlying theory leads to effective algorithms for solving real-world problems. The material makes extensive use of programming examples to illustrate ideas, bringing to life the abstract concepts in the text. Key topics include algorithms and scientific computing, simulation, Markov models, and dynamic programming. Part I introduces fundamentals and part II covers more advanced material. This second edition has been thoroughly updated, drawing on recent research in the field.

    New for the second edition:
  • “Programming-language agnostic” presentation using pseudocode.
  • New chapter 1 covering conceptual issues concerning Markov chains such as ergodicity and stability.
  • New focus in chapter 2 on algorithms and techniques for program design and high-performance computing.
  • New focus on household problems rather than optimal growth in material on dynamic programming.
  • Solutions to many exercises, code, and other resources available on a supplementary website.
  • Author

    John Stachurski is Professor of Economics at Australian National University and cofounder of QuantEcon. He is the author of A Primer in Econometric Theory (MIT Press).

    Rights

    Available for sale exclusive:
    •     Afghanistan
    •     Aland Islands
    •     Albania
    •     Algeria
    •     Andorra
    •     Angola
    •     Anguilla
    •     Antarctica
    •     Antigua/Barbuda
    •     Argentina
    •     Armenia
    •     Aruba
    •     Australia
    •     Austria
    •     Azerbaijan
    •     Bahamas
    •     Bahrain
    •     Bangladesh
    •     Barbados
    •     Belarus
    •     Belgium
    •     Belize
    •     Benin
    •     Bermuda
    •     Bhutan
    •     Bolivia
    •     Bonaire, Saba
    •     Bosnia Herzeg.
    •     Botswana
    •     Bouvet Island
    •     Brazil
    •     Brit.Ind.Oc.Ter
    •     Brit.Virgin Is.
    •     Brunei
    •     Bulgaria
    •     Burkina Faso
    •     Burundi
    •     Cambodia
    •     Cameroon
    •     Canada
    •     Cape Verde
    •     Cayman Islands
    •     Centr.Afr.Rep.
    •     Chad
    •     Chile
    •     China
    •     Christmas Islnd
    •     Cocos Islands
    •     Colombia
    •     Comoro Is.
    •     Congo
    •     Cook Islands
    •     Costa Rica
    •     Croatia
    •     Cuba
    •     Curacao
    •     Cyprus
    •     Czech Republic
    •     Dem. Rep. Congo
    •     Denmark
    •     Djibouti
    •     Dominica
    •     Dominican Rep.
    •     Ecuador
    •     Egypt
    •     El Salvador
    •     Equatorial Gui.
    •     Eritrea
    •     Estonia
    •     Ethiopia
    •     Falkland Islnds
    •     Faroe Islands
    •     Fiji
    •     Finland
    •     France
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    •     French Guinea
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    •     Laos
    •     Latvia
    •     Lebanon
    •     Lesotho
    •     Liberia
    •     Libya
    •     Liechtenstein
    •     Lithuania
    •     Luxembourg
    •     Macau
    •     Macedonia
    •     Madagascar
    •     Malawi
    •     Malaysia
    •     Maldives
    •     Mali
    •     Malta
    •     Marshall island
    •     Martinique
    •     Mauritania
    •     Mauritius
    •     Mayotte
    •     Mexico
    •     Micronesia
    •     Minor Outl.Ins.
    •     Moldavia
    •     Monaco
    •     Mongolia
    •     Montenegro
    •     Montserrat
    •     Morocco
    •     Mozambique
    •     Myanmar
    •     Namibia
    •     Nauru
    •     Nepal
    •     Netherlands
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    •     New Zealand
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    •     Niger
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    •     Niue
    •     Norfolk Island
    •     North Korea
    •     North Mariana
    •     Norway
    •     Oman
    •     Pakistan
    •     Palau
    •     Palestinian Ter
    •     Panama
    •     PapuaNewGuinea
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    •     Pitcairn Islnds
    •     Poland
    •     Portugal
    •     Puerto Rico
    •     Qatar
    •     Reunion Island
    •     Romania
    •     Russian Fed.
    •     Rwanda
    •     S. Sandwich Ins
    •     Saint Martin
    •     Samoa,American
    •     San Marino
    •     SaoTome Princip
    •     Saudi Arabia
    •     Senegal
    •     Serbia
    •     Seychelles
    •     Sierra Leone
    •     Singapore
    •     Sint Maarten
    •     Slovakia
    •     Slovenia
    •     Solomon Islands
    •     Somalia
    •     South Africa
    •     South Korea
    •     South Sudan
    •     Spain
    •     Sri Lanka
    •     St Barthelemy
    •     St. Helena
    •     St. Lucia
    •     St. Vincent
    •     St.Chr.,Nevis
    •     St.Pier,Miquel.
    •     Sth Terr. Franc
    •     Sudan
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    •     Swaziland
    •     Sweden
    •     Switzerland
    •     Syria
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    •     Tanzania
    •     Thailand
    •     Timor-Leste
    •     Togo
    •     Tokelau Islands
    •     Tonga
    •     Trinidad,Tobago
    •     Tunisia
    •     Turkey
    •     Turkmenistan
    •     Turks&Caicos Is
    •     Tuvalu
    •     US Virgin Is.
    •     USA
    •     Uganda
    •     Ukraine
    •     Unit.Arab Emir.
    •     United Kingdom
    •     Uruguay
    •     Uzbekistan
    •     Vanuatu
    •     Vatican City
    •     Venezuela
    •     Vietnam
    •     Wallis,Futuna
    •     West Saharan
    •     Western Samoa
    •     Yemen
    •     Zambia
    •     Zimbabwe

    Table of Contents

    Preface xiii
    Common Symbols xvii
    I Introduction to Dynamics 1
    1 Introduction 3
    2 Programming 25
    3 Analysis in Metric Space 39
    4 Introduction to Dynamics 59
    5 Further Topics for finite MCs 99
    6 Infinite State Space 115
    II Advances Techniques 153
    7 Integration 155
    8 Density Markov Chains 185
    9 Measure-Theoretic Probability 209
    10 Stochastic Dynamic Programming 227
    11 Stochastic Dynamics 247
    12 More Stochastic Dynamic Programming 295
    III Appendixes 315
    A Real Analysis 317
    B Chapter Appendixes 339
    Bibliography 357
    Index 369