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Mathematical economics

Mathematical economics is the sub-field of economics that explores the mathematical aspects of economic systems. Modern mainstream economic research typically makes extensive use of mathematical modelling. As a result, the distinction between mathematical and non-mathematical economics is less clear today than it once was. Mathematical economics can be regarded as the "theoretical" counterpart of Econometrics, which attempts to analyse the real world of economic activity using statistical techniques.\nThe mathematical tools economists use are often applied in other sciences as well.

Table of contents
1 Issues within mathematical economics
2 Mathematical economists
3 See also
4 External links

Issues within mathematical economics

\n* Arbitrage\n* Black-Scholes equation\n* Game theory\n* Information theory\n* Wealth condensation

Mathematical economists

Famous mathematical economists include, but are not limited to the following list.\n*
Amartya Sen\n* Herbert A. Simon\n* Sir James Mirrlees\n* John Nash\n* Kenneth Arrow

See also

\n* Mathematics of
random variables\n* Pareto distribution\n* Probability theory\n* Zipf's law\n* Econometrics\n* Extreme value theory\n* Fractal\n* Systems theory\n* Self-organization\n* Self-similarity\n* Randomness \n

External links

\n*
Keyword list from Journal of Mathematical Economics\n* Google category: Mathematical Economics and Financial Mathematics\n* Wealth Condensation in Pareto Macro-Economies

"When I am working on a problem I never think about beauty. I only think about how to solve the problem. But when I have finished, if the solution is not beautiful, I know it is wrong." - Buckminster Fuller (1895-1983)