Computational Economics: Unlocking Economic Insights, a Computational Approach
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What is Computational Economics
Computer science, economics, and management science are all branches of study that are included in the field of computational economics, which is an interdisciplinary research field. This topic includes the modeling of economic processes through the use of computer methods. There are some of these fields that are not found anywhere else, while others have established themselves as areas of economics by enabling robust data analytics and solutions to problems that would be difficult to investigate without the use of computers and the numerical methods that are connected with them.
How you will benefit
(I) Insights, and validations about the following topics:
Chapter 1: Computational economics
Chapter 2: Econometrics
Chapter 3: Experimental economics
Chapter 4: Representative agent
Chapter 5: Macroeconomic model
Chapter 6: Formal epistemology
Chapter 7: Evolutionary economics
Chapter 8: Economics education
Chapter 9: Agent-based computational economics
Chapter 10: Dynamic stochastic general equilibrium
Chapter 11: Microfoundations
Chapter 12: Adaptive Modeler
Chapter 13: Mathematical economics
Chapter 14: Methodology of econometrics
Chapter 15: ACEGES
Chapter 16: Anil K. Bera
Chapter 17: Heterogeneity in economics
Chapter 18: Criticisms of econometrics
Chapter 19: Causal inference
Chapter 20: Michael Keane (economist)
Chapter 21: John Rust
(II) Answering the public top questions about computational economics.
(III) Real world examples for the usage of computational economics in many fields.
(IV) Rich glossary featuring over 1200 terms to unlock a comprehensive understanding of computational economics. (eBook only).
Who will benefit
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of computational economics.
