"Handbook of Computational Economics" summarizes recent advances
in economic thought, revealing some of the potential offered by
modern computational methods. With computational power increasing
in hardware and algorithms, many economists are closing the gap
between economic practice and the frontiers of computational
mathematics. In their efforts to accelerate the incorporation of
computational power into mainstream research, contributors to this
volume update the improvements in algorithms that have sharpened
econometric tools, solution methods for dynamic optimization and
equilibrium models, and applications to public finance,
macroeconomics, and auctions. They also cover the switch to massive
parallelism in the creation of more powerful computers, with
advances in the development of high-power and high-throughput
computing.
Much more can be done to expand the value of computational
modeling in economics. In conjunction with volume one (1996) and
volume two (2006), this volume offers a remarkable picture of the
recent development of economics as a science as well as an exciting
preview of its future potential.
Samples different styles and approaches, reflecting the breadth of
computational economics as practiced todayFocuses on problems with
few well-developed solutions in the literature of other
disciplinesEmphasizes the potential for increasing the value of
computational modeling in economics
General
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