Applied Computational Economics and Finance
Bibliographic Data
| ID | 9719956 |
|---|---|
| Authors | Karl Schmedders (0000-0001-6887-0967, Northwestern University, corresponding author) |
| Year | 2003 |
| Volume | 113 |
| Issue | 491 |
| Pages | F661-F663 |
| Publication date | 2003-11-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The Economic Journal (JOURNAL) |
| Journal identifiers | ISSN: 0013-0133 • E-ISSN: 1468-0297 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1046/j.0013-0133.2003.172_5.x |
| OpenAlex | W2167900190 |
| Language | EN |
| Citations received | 3 |
The book ‘Applied Computational Economics and Finance’ by Mario Miranda and Paul Fackler is a great hands‐on introduction to selected computational methods that are useful in economics and finance. With its emphasis on practical numerical methods, its large number of code fragments, and an accompanying toolbox of MATLAB programs, this book enables economists without much prior knowledge of computational methods to quickly learn about standard numerical techniques and to apply them to their own models. The lucid discussion of many detailed examples illustrates the usefulness and applicability of the covered computational methods and will accelerate the learning process of any interested reader. The book has two quite different parts. The first, which comprises about one‐third of the book, covers basic numerical techniques such as solution methods for linear and nonlinear systems of equations, techniques for finite‐dimensional optimisation problems, and methods for numerical integration and differentiation and the approximation of functions. The second part covers solution methods for both discrete and continuous time dynamic models and illustrates them in a large number of examples. The book is accompanied by ‘CompEcon’, a toolbox of MATLAB programs that is available on the second author's web site
Algorithm · Computational economics · Computational finance · Computational science · Economics · Macroeconomics · Mathematical economics · MATLAB · Process (computing · Programming language · Toolbox · Computer Science · Finance · Mathematics · Numerical Analysis · Stock Market Forecasting Methods · Theoretical Computer Science
What vaccination rate(s) minimize total societal costs after ’opening up’ to Covid-19? Age-structured Sirm results for the Delta variant in Australia (New South Wales, Victoria and Western Australia)
Unearned Inequality and Biased Distributional Preferences
Análise do armazenamento de milho no Brasil em um mercado de economia aberta
| Citations per year | 0.15 |
|---|---|
| Citation span | 2006 - 2024 (19) |
| Highly cited | No |