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Applied Computational Economics and Finance


  • Mario J. Miranda

    () (Ohio State University)

  • Paul L. Fackler

    () (North Carolina State University)


This book presents a variety of computational methods used to solve dynamic problems in economics and finance. It emphasizes practical numerical methods rather than mathematical proofs and focuses on techniques that apply directly to economic analyses. The examples are drawn from a wide range of subspecialties of economics and finance, with particular emphasis on problems in agricultural and resource economics, macroeconomics, and finance. The book also provides an extensive Web-site library of computer utilities and demonstration programs. The book is divided into two parts. The first part develops basic numerical methods, including linear and nonlinear equation methods, complementarity methods, finite-dimensional optimization, numerical integration and differentiation, and function approximation. The second part presents methods for solving dynamic stochastic models in economics and finance, including dynamic programming, rational expectations, and arbitrage pricing models in discrete and continuous time. The book uses MATLAB to illustrate the algorithms and includes a utilities toolbox to help readers develop their own computational economics applications.

Suggested Citation

  • Mario J. Miranda & Paul L. Fackler, 2004. "Applied Computational Economics and Finance," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262633094, January.
  • Handle: RePEc:mtp:titles:0262633094

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    References listed on IDEAS

    1. Van Wijnbergen, Sweden, 1986. "On fiscal deficits, the real exchange rate and the world rate of interest," European Economic Review, Elsevier, vol. 30(5), pages 1013-1023, October.
    2. Tabellini, Guido & Alesina, Alberto, 1990. "Voting on the Budget Deficit," American Economic Review, American Economic Association, vol. 80(1), pages 37-49, March.
    3. Tobin, James, 1969. "A General Equilibrium Approach to Monetary Theory," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 1(1), pages 15-29, February.
    4. Sutherland, Alan, 1997. "Fiscal crises and aggregate demand: can high public debt reverse the effects of fiscal policy?," Journal of Public Economics, Elsevier, vol. 65(2), pages 147-162, August.
    5. Menahem E. Yaari, 1965. "Uncertain Lifetime, Life Insurance, and the Theory of the Consumer," Review of Economic Studies, Oxford University Press, vol. 32(2), pages 137-150.
    6. Robert Summers & Alan Heston, 1991. "The Penn World Table (Mark 5): An Expanded Set of International Comparisons, 1950–1988," The Quarterly Journal of Economics, Oxford University Press, vol. 106(2), pages 327-368.
    7. Uzawa, H, 1969. "Time Preference and the Penrose Effect in a Two-Class Model of Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 77(4), pages 628-652, Part II, .
    8. van Wijnbergen, Sweder, 1987. "Tariffs, Employment and the Current Account: Real Wage Resistance and the Macroeconomics of Protectionism," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 28(3), pages 691-706, October.
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    1. Leith, Campbell & Liu, Ding, 2016. "The inflation bias under Calvo and Rotemberg pricing," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 283-297.
    2. Ren, Bijie & Polasky, Stephen, 2014. "The optimal management of renewable resources under the risk of potential regime shift," Journal of Economic Dynamics and Control, Elsevier, vol. 40(C), pages 195-212.
    3. Richard S. J. Tol & In Chang Hwang & Frédéric Reynès, 2012. "The Effect of Learning on Climate Policy under Fat-tailed Uncertainty," Working Paper Series 5312, Department of Economics, University of Sussex.
    4. In Chang Hwang & Richard S.J. Tol & Marjan W. Hofkes, 2013. "Active Learning about Climate Change," Working Paper Series 6513, Department of Economics, University of Sussex.
    5. Fabrice Defever & Alejandro Riaño, 2016. "Protectionism through Exporting: Subsidies with Export Share Requirements in China," Discussion Papers 2016-03, University of Nottingham, GEP.
    6. Sarolta Laczo & Raffaele Rossi, 2014. "Time-consistent consumption taxation," Working Papers 67495267, Lancaster University Management School, Economics Department.
    7. Jouvet, Pierre-André & Le Cadre, Elodie & Orset, Caroline, 2012. "Irreversible investment, uncertainty, and ambiguity: The case of bioenergy sector," Energy Economics, Elsevier, vol. 34(1), pages 45-53.
    8. Wiggins, Seth & Etienne, Xiaoli, 2015. "US Natural Gas Price Determination: Fundamentals and the Development of Shale," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205788, Agricultural and Applied Economics Association;Western Agricultural Economics Association.
    9. Philip Bunn & Colin Ellis, 2012. "How do Individual UK Producer Prices Behave?," Economic Journal, Royal Economic Society, vol. 122(558), pages 16-34, February.
    10. repec:kap:compec:v:50:y:2017:i:1:d:10.1007_s10614-016-9583-2 is not listed on IDEAS
    11. Defever, Fabrice & Riaño, Alejandro, 2017. "Subsidies with export share requirements in China," Journal of Development Economics, Elsevier, vol. 126(C), pages 33-51.
    12. Sylvie Tchumtchoua & Ronald W. Cotterill, 2010. "Optimal Brand and Generic Advertising Policies in a Dynamic Differentiated Product Oligopoly," Food Marketing Policy Center Research Reports 126, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    13. Delbridge, Timothy A. & King, Robert P., 2016. "Transitioning to Organic Crop Production: A Dynamic Programming Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(3), September.
    14. Alejandro Riaño & Fabrice Defever, 2017. "Twin Peaks," 2017 Meeting Papers 454, Society for Economic Dynamics.
    15. Leigh Tesfatsion, 2017. "Elements of Dynamic Economic Modeling: Presentation and Analysis," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 43(2), pages 192-216, March.
    16. Agarwal, Sandip Kumar, 2017. "Subjective beliefs and decision making under uncertainty in the field," ISU General Staff Papers 201701010800006248, Iowa State University, Department of Economics.
    17. Subhasish M. Chowdhury & Joo Young Jeon & Abhijit Ramalingam, 2016. "Property rights and loss aversion in contests," Working Paper series, University of East Anglia, Centre for Behavioural and Experimental Social Science (CBESS) 16-14, School of Economics, University of East Anglia, Norwich, UK..
    18. Gordon Rausser & William Balson & Reid Stevens, 2010. "Centralized clearing for over-the-counter derivatives," Journal of Financial Economic Policy, Emerald Group Publishing, vol. 2(4), pages 346-359, November.
    19. Mosiño, Alejandro, 2012. "Producing energy in a stochastic environment: Switching from non-renewable to renewable resources," Resource and Energy Economics, Elsevier, vol. 34(4), pages 413-430.
    20. Agarwal, Sandip & Jacobs, Keri L. & Weninger, Quinn, 2016. "Unfolding the Bias in Farm Nitrogen Management," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 237380, Agricultural and Applied Economics Association.
    21. Hwang, In Chang, 2014. "A recursive method for solving a climate-economy model: value function iterations with logarithmic approximations," MPRA Paper 54782, University Library of Munich, Germany.
    22. Tesfatsion, Leigh, 2014. "Elements of Dynamic Economic Modeling: Presentation and Analysis," Staff General Research Papers Archive 37306, Iowa State University, Department of Economics.
    23. Meyer, Kevin Michael, 2017. "Three essays on environmental and resource economics," ISU General Staff Papers 201701010800006585, Iowa State University, Department of Economics.

    More about this item


    computational economics; numerical methods; dynamic stochastic models;

    JEL classification:

    • C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)


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