Computational And Decision Methods In Economics And Business PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Computational And Decision Methods In Economics And Business PDF full book. Access full book title Computational And Decision Methods In Economics And Business.

Computational and Decision Methods in Economics and Business

Computational and Decision Methods in Economics and Business
Author: Anna Maria Gil-Lafuente
Publisher: Springer Nature
Total Pages: 314
Release: 2022-01-27
Genre: Technology & Engineering
ISBN: 3030937879

Download Computational and Decision Methods in Economics and Business Book in PDF, ePub and Kindle

This book presents different topics related to innovation, complexity, uncertainty, modeling and simulation, fuzzy logic, decision-making, aggregation operators, business and economic applications, among others. The chapters are the results of research presented at the International Workshop "Innovation, Complexity and Uncertainty in Economics and Business", held in Barcelona, in November 2019, by The Ibero-American Network for Competitiveness, Innovation and Development (REDCID in Spanish) and the Royal Academy of Economic and Financial Sciences (RACEF in Spanish). These papers are useful for junior and senior researchers in the area of economics and business.


Computational and Decision Methods in Economics and Business

Computational and Decision Methods in Economics and Business
Author: Anna Maria Gil-Lafuente
Publisher:
Total Pages: 0
Release: 2022
Genre:
ISBN: 9783030937881

Download Computational and Decision Methods in Economics and Business Book in PDF, ePub and Kindle

This book presents different topics related to innovation, complexity, uncertainty, modeling and simulation, fuzzy logic, decision-making, aggregation operators, business and economic applications, among others. The chapters are the results of research presented at the International Workshop "Innovation, Complexity and Uncertainty in Economics and Business", held in Barcelona, in November 2019, by The Ibero-American Network for Competitiveness, Innovation and Development (REDCID in Spanish) and the Royal Academy of Economic and Financial Sciences (RACEF in Spanish). These papers are useful for junior and senior researchers in the area of economics and business.


Computational Methods in Decision-Making, Economics and Finance

Computational Methods in Decision-Making, Economics and Finance
Author: Erricos John Kontoghiorghes
Publisher: Springer Science & Business Media
Total Pages: 626
Release: 2013-11-11
Genre: Business & Economics
ISBN: 1475736134

Download Computational Methods in Decision-Making, Economics and Finance Book in PDF, ePub and Kindle

Computing has become essential for the modeling, analysis, and optimization of systems. This book is devoted to algorithms, computational analysis, and decision models. The chapters are organized in two parts: optimization models of decisions and models of pricing and equilibria.


Computational Methods in Economic Dynamics

Computational Methods in Economic Dynamics
Author: Herbert Dawid
Publisher: Springer Science & Business Media
Total Pages: 217
Release: 2011-03-23
Genre: Business & Economics
ISBN: 3642169430

Download Computational Methods in Economic Dynamics Book in PDF, ePub and Kindle

This volume is centered around the issue of market design and resulting market dynamics. The economic crisis of 2007-2009 has once again highlighted the importance of a proper design of market protocols and institutional details for economic dynamics and macroeconomics. Papers in this volume capture institutional details of particular markets, behavioral details of agents' decision making as well as spillovers between markets and effects to the macroeconomy. Computational methods are used to replicate and understand market dynamics emerging from interaction of heterogeneous agents, and to develop models that have predictive power for complex market dynamics. Finally treatments of overlapping generations models and differential games with heterogeneous actors are provided.


Applied Computational Economics and Finance

Applied Computational Economics and Finance
Author: Mario J. Miranda
Publisher: MIT Press
Total Pages: 529
Release: 2004-08-20
Genre: Business & Economics
ISBN: 0262291754

Download Applied Computational Economics and Finance Book in PDF, ePub and Kindle

This book presents a variety of computational methods used to solve dynamic problems in economics and finance. It emphasizes practical numerical methods rather than mathematical proofs and focuses on techniques that apply directly to economic analyses. The examples are drawn from a wide range of subspecialties of economics and finance, with particular emphasis on problems in agricultural and resource economics, macroeconomics, and finance. The book also provides an extensive Web-site library of computer utilities and demonstration programs. The book is divided into two parts. The first part develops basic numerical methods, including linear and nonlinear equation methods, complementarity methods, finite-dimensional optimization, numerical integration and differentiation, and function approximation. The second part presents methods for solving dynamic stochastic models in economics and finance, including dynamic programming, rational expectations, and arbitrage pricing models in discrete and continuous time. The book uses MATLAB to illustrate the algorithms and includes a utilities toolbox to help readers develop their own computational economics applications.


Economics and Computation

Economics and Computation
Author: Jörg Rothe
Publisher: Springer
Total Pages: 618
Release: 2015-08-18
Genre: Business & Economics
ISBN: 3662479044

Download Economics and Computation Book in PDF, ePub and Kindle

This textbook connects three vibrant areas at the interface between economics and computer science: algorithmic game theory, computational social choice, and fair division. It thus offers an interdisciplinary treatment of collective decision making from an economic and computational perspective. Part I introduces to algorithmic game theory, focusing on both noncooperative and cooperative game theory. Part II introduces to computational social choice, focusing on both preference aggregation (voting) and judgment aggregation. Part III introduces to fair division, focusing on the division of both a single divisible resource ("cake-cutting") and multiple indivisible and unshareable resources ("multiagent resource allocation"). In all these parts, much weight is given to the algorithmic and complexity-theoretic aspects of problems arising in these areas, and the interconnections between the three parts are of central interest.


Neuroeconomic and Behavioral Aspects of Decision Making

Neuroeconomic and Behavioral Aspects of Decision Making
Author: Kesra Nermend
Publisher: Springer
Total Pages: 419
Release: 2017-10-06
Genre: Business & Economics
ISBN: 3319629387

Download Neuroeconomic and Behavioral Aspects of Decision Making Book in PDF, ePub and Kindle

This proceedings volume presents the latest scientific research and trends in experimental economics, with particular focus on neuroeconomics. Derived from the 2016 Computational Methods in Experimental Economics (CMEE) conference held in Szczecin, Poland, this book features research and analysis of novel computational methods in neuroeconomics. Neuroeconomics is an interdisciplinary field that combines neuroscience, psychology and economics to build a comprehensive theory of decision making. At its core, neuroeconomics analyzes the decision-making process not only in terms of external conditions or psychological aspects, but also from the neuronal point of view by examining the cerebral conditions of decision making. The application of IT enhances the possibilities of conducting such analyses. Such studies are now performed by software that provides interaction among all the participants and possibilities to register their reactions more accurately. This book examines some of these applications and methods. Featuring contributions on both theory and application, this book is of interest to researchers, students, academics and professionals interested in experimental economics, neuroeconomics and behavioral economics.


Computational Approaches to Economic Problems

Computational Approaches to Economic Problems
Author: Hans M. Amman
Publisher: Springer Science & Business Media
Total Pages: 365
Release: 2013-03-09
Genre: Business & Economics
ISBN: 1475726449

Download Computational Approaches to Economic Problems Book in PDF, ePub and Kindle

This volume contains a selection of papers presented at the first conference of the Society for Computational Economics held at ICC Institute, Austin, Texas, May 21-24, 1995. Twenty-two papers are included in this volume, devoted to applications of computational methods for the empirical analysis of economic and financial systems; the development of computing methodology, including software, related to economics and finance; and the overall impact of developments in computing. The various contributions represented in the volume indicate the growing interest in the topic due to the increased availability of computational concepts and tools and the necessity of analyzing complex decision problems. The papers in this volume are divided into four sections: Computational methods in econometrics, Computational methods in finance, Computational methods for a social environment and New computational methods.£/LIST£


Experimental and Quantitative Methods in Contemporary Economics

Experimental and Quantitative Methods in Contemporary Economics
Author: Kesra Nermend
Publisher: Springer Nature
Total Pages: 379
Release: 2019-10-12
Genre: Business & Economics
ISBN: 3030302512

Download Experimental and Quantitative Methods in Contemporary Economics Book in PDF, ePub and Kindle

Contemporary economists, when analyzing economic behavior of people, need to use the diversity of research methods and modern ways of discovering knowledge. The increasing popularity of using economic experiments requires the use of IT tools and quantitative methods that facilitate the analysis of the research material obtained as a result of the experiments and the formulation of correct conclusions. This proceedings volume presents problems in contemporary economics and provides innovative solutions using a range of quantitative and experimental tools. Featuring selected contributions presented at the 2018 Computational Methods in Experimental Economics Conference (CMEE 2018), this book provides a modern economic perspective on such important issues as: sustainable development, consumption, production, national wealth, the silver economy, behavioral finance, economic and non-economic factors determining the behavior of household members, consumer preferences, social campaigns, and neuromarketing. International case studies are also offered.


Computational Economic Systems

Computational Economic Systems
Author: Manfred Gilli
Publisher: Springer Science & Business Media
Total Pages: 284
Release: 2013-03-09
Genre: Political Science
ISBN: 9401587434

Download Computational Economic Systems Book in PDF, ePub and Kindle

The approach to many problems in economic analysis has changed drastically with the development and dissemination of new and more efficient computational techniques. Computational Economic Systems: Models, Methods & Econometrics presents a selection of papers illustrating the use of new computational methods and computing techniques to solve economic problems. Part I of the volume consists of papers which focus on modelling economic systems, presenting computational methods to investigate the evolution of behavior of economic agents, techniques to solve complex inventory models on a parallel computer and an original approach for the construction and solution of multicriteria models involving logical conditions. Contributions to Part II concern new computational approaches to economic problems. We find an application of wavelets to outlier detection. New estimation algorithms are presented, one concerning seemingly related regression models, a second one on nonlinear rational expectation models and a third one dealing with switching GARCH estimation. Three contributions contain original approaches for the solution of nonlinear rational expectation models.