Modelling Learning In Economics
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Computational Techniques For Modelling Learning In Economics
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Author : Thomas Brenner
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Computational Techniques For Modelling Learning In Economics written by Thomas Brenner and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.
Computational Techniques for Modelling Learning in Economics offers a critical overview of the computational techniques that are frequently used for modelling learning in economics. It is a collection of papers, each of which focuses on a different way of modelling learning, including the techniques of evolutionary algorithms, genetic programming, neural networks, classifier systems, local interaction models, least squares learning, Bayesian learning, boundedly rational models and cognitive learning models. Each paper describes the technique it uses, gives an example of its applications, and discusses the advantages and disadvantages of the technique. Hence, the book offers some guidance in the field of modelling learning in computation economics. In addition, the material contains state-of-the-art applications of the learning models in economic contexts such as the learning of preference, the study of bidding behaviour, the development of expectations, the analysis of economic growth, the learning in the repeated prisoner's dilemma, and the changes of cognitive models during economic transition. The work even includes innovative ways of modelling learning that are not common in the literature, for example the study of the decomposition of task or the modelling of cognitive learning.
Modelling Learning In Economics
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Author : Thomas Brenner
language : en
Publisher: Edward Elgar Publishing
Release Date : 1999
Modelling Learning In Economics written by Thomas Brenner and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Business & Economics categories.
This is an investigation into the processes that are involved in economic learning by categorizing different ways of learning, and using mathematical models for their description. Three learning processes are covered: non-cognitive, routine-based and associative learning.
Mathematical Modelling
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Author : C Haines
language : en
Publisher: Elsevier
Release Date : 2007-08-01
Mathematical Modelling written by C Haines and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-01 with Mathematics categories.
This book continues the ICTMA tradition of influencing teaching and learning in the application of mathematical modelling. Each chapter shows how real life problems can be discussed during university lectures, in school classrooms and industrial research. International experts contribute their knowledge and experience by providing analysis, insight and comment whilst tackling large and complex problems by applying mathematical modelling. This book covers the proceedings from the Twelfth International Conference on the Teaching of Mathematical Modelling and Applications. Covers the proceedings from the Twelfth International Conference on the Teaching of Mathematical Modelling and Applications Continues the ICTMA tradition of influencing teaching and learning in the application of mathematical modelling Shows how real life problems can be discussed during university lectures, in school classrooms and industrial research
Economics With Heterogeneous Interacting Agents
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Author : Alessandro Caiani
language : en
Publisher: Springer
Release Date : 2016-09-21
Economics With Heterogeneous Interacting Agents written by Alessandro Caiani and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-21 with Business & Economics categories.
This book offers a practical guide to Agent Based economic modeling, adopting a “learning by doing” approach to help the reader master the fundamental tools needed to create and analyze Agent Based models. After providing them with a basic “toolkit” for Agent Based modeling, it present and discusses didactic models of real financial and economic systems in detail. While stressing the main features and advantages of the bottom-up perspective inherent to this approach, the book also highlights the logic and practical steps that characterize the model building procedure. A detailed description of the underlying codes, developed using R and C, is also provided. In addition, each didactic model is accompanied by exercises and applications designed to promote active learning on the part of the reader. Following the same approach, the book also presents several complementary tools required for the analysis and validation of the models, such as sensitivity experiments, calibration exercises, economic network and statistical distributions analysis. By the end of the book, the reader will have gained a deeper understanding of the Agent Based methodology and be prepared to use the fundamental techniques required to start developing their own economic models. Accordingly, “Economics with Heterogeneous Interacting Agents” will be of particular interest to graduate and postgraduate students, as well as to academic institutions and lecturers interested in including an overview of the AB approach to economic modeling in their courses.
Econometric Modeling In Economic Education Research
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Author : William E. Becker Jr.
language : en
Publisher: Springer
Release Date : 2011-10-17
Econometric Modeling In Economic Education Research written by William E. Becker Jr. and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-17 with Business & Economics categories.
Since its establishment in the 1950s the American Economic Association's Committee on Economic Education has sought to promote improved instruction in economics and to facilitate this objective by stimulating research on the teaching of economics. These efforts are most apparent in the sessions on economic education that the Committee organizes at the Association's annual meetings. At these sessions economists interested in economic education have opportunities to present new ideas on teaching and research and also to report the findings of their research. The record of this activity can be found in the Proceedings of the American Eco nomic Review. The Committee on Economic Education and its members have been actively involved in a variety of other projects. In the early 1960s it organized the National Task Force on Economic Education that spurred the development of economics teaching at the precollege level. This in turn led to the development of a standardized research instrument, a high school test of economic understanding. This was followed later in the 1960s by the preparation of a similar test of understanding college economics. The development of these two instruments greatly facilitated research on the impact of economics instruction, opened the way for application of increasingly sophisticated statistical methods in measuring the impact of economic education, and initiated a steady stream of research papers on a subject that previously had not been explored.
Behavioral Predictive Modeling In Economics
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Author : Songsak Sriboonchitta
language : en
Publisher: Springer Nature
Release Date : 2020-08-05
Behavioral Predictive Modeling In Economics written by Songsak Sriboonchitta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-05 with Technology & Engineering categories.
This book presents both methodological papers on and examples of applying behavioral predictive models to specific economic problems, with a focus on how to take into account people's behavior when making economic predictions. This is an important issue, since traditional economic models assumed that people make wise economic decisions based on a detailed rational analysis of all the relevant aspects. However, in reality – as Nobel Prize-winning research has shown – people have a limited ability to process information and, as a result, their decisions are not always optimal. Discussing the need for prediction-oriented statistical techniques, since many statistical methods currently used in economics focus more on model fitting and do not always lead to good predictions, the book is a valuable resource for researchers and students interested in the latest results and challenges and for practitioners wanting to learn how to use state-of-the-art techniques.
Machine Learning For Economics And Finance In Tensorflow 2
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Author : Isaiah Hull
language : en
Publisher:
Release Date : 2021
Machine Learning For Economics And Finance In Tensorflow 2 written by Isaiah Hull and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Machine learning has taken time to move into the space of academic economics. This is because empirical research in economics is concentrated on the identification of causal relationships in parsimonious statistical models; whereas machine learning is oriented towards prediction and is generally uninterested in either causality or parsimony. That leaves a gap for students, academics, and professionals who lack a standard reference on machine learning for economics and finance. This book focuses on economic and financial problems with an empirical dimension, where machine learning methods may offer something of value. This includes coverage of a variety of discriminative deep learning models (DNNs, CNNs, LSTMs, and DQNs), generative machine learning models (GANs and VAEs), and tree-based models. It also covers the intersection of empirical methods in economics and machine learning, including regression analysis, natural language processing, and dimensionality reduction. TensorFlow offers a toolset that can be used to define and solve any graph-based model, including those commonly used in economics. This book is structured to teach through a sequence of complete examples, each framed in terms of a specific economic problem of interest or topic. This simplifies otherwise complicated concepts, enabling the reader to solve workhorse theoretical models in economics and finance using TensorFlow. You will: • Define, train, and evaluate machine learning models in TensorFlow 2 • Apply fundamental concepts in machine learning, such as deep learning and natural language processing, to economic and financial problems • Solve theoretical models in economics.
Learning Strategies In Modelling Economic Growth
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Author : Juan Gabriel Brida
language : en
Publisher:
Release Date : 2018
Learning Strategies In Modelling Economic Growth written by Juan Gabriel Brida and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Modern theories of economic growth recognize human capital as the main factor of growth. Strong investments of countries in education and research are justified by this fact. However, there are few studies analyzing the interaction between the development of human capital and the economic growth of countries. In particular, it is difficult to find in the modern literature papers that model growth economics with learning strategies and generally this works take human capital as exogenous to the model. In this paper we introduce in the very well known model of Romer (1990) (see also version in Romer (1996)) a modification to obtain a model of economic growth with learning strategies (see Bustillos and Oliveira (2004), Mingfeng et al. (2006) and Penna (1995), Huang and Stauffer (2001), Maksymowicz et al. (2008), Mingfeng et al. (2006), Oliveira (1998), Pan et al. (2005), Penna (1995), Stauffer (2007) ). In particular, we applied a version of the Bustillos and Oliveira model to a model of economic growth depending on knowledge. We explain that economic growth is determined by two ways of learning: 1)quot;individual learningquot;: individual cumulates knowledge by interacting with its natural environment, in a process of trial-and error; 2) quot;social learningquot;: individuals spending time near another (quot;teacherquot;) can learn and cumulate knowledge. We analyze the model conducting simulations, obtaining implication of economic policy.
State Space Models
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Author : Yong Zeng
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-08-15
State Space Models written by Yong Zeng and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-15 with Business & Economics categories.
State-space models as an important mathematical tool has been widely used in many different fields. This edited collection explores recent theoretical developments of the models and their applications in economics and finance. The book includes nonlinear and non-Gaussian time series models, regime-switching and hidden Markov models, continuous- or discrete-time state processes, and models of equally-spaced or irregularly-spaced (discrete or continuous) observations. The contributed chapters are divided into four parts. The first part is on Particle Filtering and Parameter Learning in Nonlinear State-Space Models. The second part focuses on the application of Linear State-Space Models in Macroeconomics and Finance. The third part deals with Hidden Markov Models, Regime Switching and Mathematical Finance and the fourth part is on Nonlinear State-Space Models for High Frequency Financial Data. The book will appeal to graduate students and researchers studying state-space modeling in economics, statistics, and mathematics, as well as to finance professionals.
Modeling Dynamic Economic Systems
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Author : Matthias Ruth
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-02-08
Modeling Dynamic Economic Systems written by Matthias Ruth and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-08 with Business & Economics categories.
This book explores the dynamic processes in economic systems, concentrating on the extraction and use of the natural resources required to meet economic needs. Sections cover methods for dynamic modeling in economics, microeconomic models of firms, modeling optimal use of both nonrenewable and renewable resources, and chaos in economic models. This book does not require a substantial background in mathematics or computer science.
