Applied Computational Economics and Finance
AbstractThis 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.
Download InfoTo our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Bibliographic InfoThis book is provided by The MIT Press in its series MIT Press Books with number 0262633094 and published in 2004.
Contact details of provider:
Web page: http://mitpress.mit.edu
computational economics; numerical methods; dynamic stochastic models;
Find related papers by 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)
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- 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, December.
- Rausser, Gordon C. & Balson, William & Stevens, Reid, 2009. "Centralized Clearing for Over-the-Counter Derivatives," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt494976mk, Department of Agricultural & Resource Economics, UC Berkeley.
- Rausser, Gordon C. & Balson, William & Stevens, Reid, 2009. "Centralized clearing for over-the-counter derivatives," CUDARE Working Paper Series 1091, University of California at Berkeley, Department of Agricultural and Resource Economics and Policy.
- Philip Bunn & Colin Ellis, 2012.
"How do Individual UK Producer Prices Behave?,"
Royal Economic Society, vol. 122(558), pages F16-F34, 02.
- 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.
- Pierre-André Jouvet & Elodie Lecadre & Caroline Orset, 2011.
"Irreversible investment, uncertainty, and ambiguity: the case of bioenergy sector,"
2011/01, INRA, Economie Publique.
- 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.
- Pierre-André Jouvet & Elodie Le Cadre & Caroline Orset, 2011. "Irreversible investment, uncertainty, and ambiguity: the case of bioenergy sector," Working Papers 1104, Chaire Economie du Climat.
- 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.
- 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.
- Tchumtchoua, Sylvie & Cotterill, Ronald, 2010. "Optimal Brand and Generic Advertising Policies in a Dynamic Differentiated Product Oligopoly," Research Reports 149978, University of Connecticut, Food Marketing Policy Center.
- 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.
- 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.
- Hwang, In Chang & Reynes, Frederic & Tol, Richard, 2014. "The effect of learning on climate policy under fat-tailed uncertainty," MPRA Paper 53681, University Library of Munich, Germany.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jake Furbush).
If references are entirely missing, you can add them using this form.