Computational Economics - Unlocking Economic Insights a Computational Approach
Fouad Sabry
Editora: One Billion Knowledgeable
Sinopse
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.
