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Libri sul tema "Computational economics"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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1

Kendrick, David A. Computational economics. Princeton University Press, 2006.

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2

Ruben, Mercado P., and Amman Hans M, eds. Computational economics. Princeton University Press, 2006.

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3

Tesfatsion, Leigh. Handbook of Computational Economics: Agent-Based Computational Economics. Elsevier, 2006.

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4

1959-, Chen Shu-Heng, Jain L. C, and Tai Chung-Ching, eds. Computational economics: A perspective from computational intelligence. Idea Group Pub., 2006.

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5

M, Amman Hans, Belsley David A, and Pau L. F. 1948-, eds. Computational economics and econometrics. Kluwer Academic Publishers, 1992.

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6

Amman, Hans M., David A. Belsley, and Louis F. Pau, eds. Computational Economics and Econometrics. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-3162-9.

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7

Varian, Hal R., ed. Computational Economics and Finance. Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-2340-5.

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8

M, Amman Hans, Kendrick David A, and Rust John 1955-, eds. Handbook of computational economics. Elsevier, 1996.

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9

Cooper, W. W., and A. B. Whinston, eds. New Directions in Computational Economics. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-0770-9.

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10

1914-, Cooper William W., and Whinston Andrew B, eds. New directions in computational economics. Kluwer Academic Publishers, 1994.

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11

Dadkhah, Kamran. Foundations of mathematical & computational economics. Thomson South-Western, 2007.

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12

Chen, Shu-Heng, and Paul P. Wang, eds. Computational Intelligence in Economics and Finance. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-06373-6.

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13

Dadkhah, Kamran. Foundations of Mathematical and Computational Economics. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-13748-8.

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14

Chen, Shu-Heng, Paul P. Wang, and Tzu-Wen Kuo, eds. Computational Intelligence in Economics and Finance. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72821-4.

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15

Chen, Shu-Heng. Computational Intelligence in Economics and Finance. Springer Berlin Heidelberg, 2004.

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16

Dadkhah, Kamran. Foundations of Mathematical and Computational Economics. Springer-Verlag Berlin Heidelberg, 2011.

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17

Zopounidis, Constantin. Computational techniques in economics and finance. Nova Science Publishers, 2011.

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18

Grassmann, Winfried K. Computational Probability. Springer US, 2000.

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19

Brenner, Thomas, ed. Computational Techniques for Modelling Learning in Economics. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5029-7.

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20

Heer, Burkhard. Dynamic general equilibrium modeling: Computational methods and applications. 2nd ed. Springer, 2009.

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21

A, Barnett William, Deissenberg Christophe, and Feichtinger Gustav 1940-, eds. Economic complexity: Non-linear dynamics, multi-agents economies, and learning. Elsevier, 2004.

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22

Gil-Lafuente, Anna Maria, Josefa Boria, Agustín Torres, José M. Merigó, and Janusz Kacprzyk, eds. Computational and Decision Methods in Economics and Business. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93787-4.

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23

Kontoghiorghes, Erricos John, Berc Rustem, and Stavros Siokos, eds. Computational Methods in Decision-Making, Economics and Finance. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3613-7.

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24

John, Kontoghiorghes Erricos, Rustem Berc, and Siokos Stavros, eds. Computational methods in decision-making, economics and finance. Kluwer Academic Publishers, 2002.

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25

Baba, Norio. Computational Intelligence in Games. Physica-Verlag HD, 2001.

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26

A, Belsley David, and Kontoghiorghes Erricos John, eds. Handbook of computational econometrics. Wiley, 2009.

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27

A, Belsley David, and Kontoghiorghes Erricos John, eds. Handbook of computational econometrics. Wiley, 2009.

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28

Humphreys, Paul. Computational Economics. Edited by Don Ross and Harold Kincaid. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780195189254.003.0013.

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Abstract (sommario):

Computational economics is a relatively new research technique in economics, but it is inexorably taking its place alongside the more traditional methods of general theory, abstract modeling, data analysis, and the more recent experimental economics. Perhaps because of its relative newness, the term computational economics currently has no determinate meaning. In contemporary use, it refers to a heterogeneous cluster of techniques implemented on concrete digital computers ranging from the numerical solution of the Black-Scholes partial differential equation for pricing options through automate

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29

Afonso, Oscar, and Paulo B. Vasconcelos. Computational Economics. Routledge, 2015. http://dx.doi.org/10.4324/9781315716992.

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30

Kendrick, David A., P. Ruben Mercado, and Hans M. Amman. Computational Economics. Princeton University Press, 2005.

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31

Computational Economics. Routledge, 2015.

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32

(Editor), Leigh Tesfatsion, and Kenneth L. Judd (Editor), eds. Handbook of Computational Economics, Volume 2: Agent-Based Computational Economics (Handbook of Computational Economics). North Holland, 2006.

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33

Chang, Myong-Hun. Computational Industrial Economics. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.42.

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Abstract (sommario):

Approach to Dynamic Analysis in Industrial Organization This chapter offers a basic agent-based computational model of industry dynamics that allows us to study the evolving industry structure through entry and exit of heterogeneous firms. The field of modern industrial economics focuses on the structure and performance of the industry in equilibrium when firms make decisions in an optimizing way, typically with perfect foresight. The patterns that arise in the process of adjustment, induced by persistent external shocks, are often ignored for lack of a proper tool for analysis. The model intr

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34

Belsley, D. A. Computational Techniques for Econometrics and Economic Analysis (Advances in Computational Economics). Springer, 1993.

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35

Chen, Shu-Heng, Mak Kaboudan, and Ye-Rong Du. Computational Economics in the Era of Natural Computationalism. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.1.

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After a brief review of natural computationalism, this introductory chapter presents a new skeleton of computational economics and finance (CEF) along with an overview of the handbook. It begins with a conventional pursuit focusing on the algorithmic or numerical aspect of CEF such as computational efforts devoted to rational expectations, (dynamic) general equilibrium, and volatility. It then moves toward an automata- or organism-based perspective of CEF, involving nature-inspired intelligence, algorithmic trading, automated markets, network- and agent-based computing, and neural computing. A

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36

Chen, Shu-Heng. Agent-Based Computational Economics. Routledge, 2017. http://dx.doi.org/10.4324/9781315734422.

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37

Judd, Kenneth L., and Karl Schmedders. Handbook of Computational Economics. Elsevier Science & Technology Books, 2013.

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38

Computational Economics/3.5 Disk. 3rd ed. Course Technology, 1992.

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39

Agent-Based Computational Economics. Taylor & Francis Group, 2015.

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40

Thompson, Gerald. Computational Economics/5.25 Disk. 5th ed. Course Technology, 1992.

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41

Pau, L. F., H. Amman, and D. A. Belsley. Computational Economics and Econometrics. Springer, 2012.

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42

Pau, L. F., H. Amman, and D. A. Belsley. Computational Economics and Econometrics. Springer Netherlands, 2012.

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43

Judd, Kenneth L., and Karl Schmedders. Handbook of Computational Economics. Elsevier Science & Technology Books, 2013.

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44

Amman, H. M., D. A. Kendrick, and J. Rust. Handbook of Computational Economics. Elsevier Science & Technology Books, 1996.

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45

Computational Techniques for Modelling Learning in Economics (Advances in Computational Economics). Springer, 1999.

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46

Fehr, Hans, and Fabian Kindermann. Introduction to Computational Economics Using Fortran. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198804390.001.0001.

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Introduction to Computational Economics Using Fortran is the essential guide to conducting economic research on a computer. Aimed at students of all levels of education as well as advanced economic researchers, it facilitates the first steps into writing programs using Fortran. Introduction to Computational Economics Using Fortran assumes no prior experience as it introduces the reader to this programming language. It shows the reader how to apply the most important numerical methods conducted by computational economists using the toolbox that accompanies this text. It offers various examples

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47

(Editor), Shu-Heng Chen, Lakhmi Jain (Editor), and Chung-ching Tai (Editor), eds. Computational Economics: A Perspective from Computational Intelligence (Computational Intelligence and Its Applications Series) (Computational Intelligence and Its Applications Series). Idea Group Publishing, 2005.

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48

Chen, Shu-Heng. Computational Economics: A Perspective from Computational Intelligence (Computational Intelligence and Its Applications). IGI Global, 2005.

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49

(Editor), Shu-Heng Chen, Lakhmi Jain (Editor), and Chung-ching Tai (Editor), eds. Computational Economics: A Perspective from Computational Intelligence (Computational Intelligence and Its Applications Series) (Computational Intelligence and Its Applications Series). Idea Group Publishing, 2005.

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50

Whinston, Andrew B., and William W. Cooper. New Directions in Computational Economics. Springer London, Limited, 2012.

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