Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Computing Skills For Economists
Download Computing Skills For Economists full books in PDF, epub, and Kindle. Read online Computing Skills For Economists ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Computing Skills for Economists by : Guy Judge
Download or read book Computing Skills for Economists written by Guy Judge and published by John Wiley & Sons. This book was released on 2000-06-08 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today's students are expected to use computers and familiarise themselves with word-processing and spreadsheet packages in their work. They are also expected to be able to use the Internet for e-mail and accessing information on the Web. In fact, some lecturers use the Web to provide course notes or even deliver parts of the course interactively. Most available computer books are too general and often miss out features that would be particularly helpful to economists. In fact, they don't show how such tools can be used in economics. This textbook fills a need for a computing and IT book aimed specifically at undergraduate economics students. It bridges the gap between IT literacy and the use of hardware, software and other resources in learning and doing economics. The main focus is on the tools and the resources that are particularly relevant to economists with examples of their use and suggestions of how to apply and exploit them in applications in economics. FEATURES Assumes no previous computing background - the book will adopt a practical and applied approach with emphasis on the software used by economists and how they use it. Use of examples and applications will allow readers to learn by doing and develop their computing skills. The book will be written in a concise and informal style with the use of screen grabs and text boxes. www.wiley.co.uk/judge - a Website containing solutions to exercises, PowerPoint slides and other supplementary material for instructors. The site will also have an archive for data used in the book and be a means of updating information. CONTENTS: Introduction: Tools, Tasks, Resources and Skills; Beginning to Work with Computers in Economics; Building on the Basics: Skills Development; Spreadsheets for Economists; The Internet for Economists; Statistics and Econometrics Software for Economists; More Advanced Computing Skills for Economists.
Book Synopsis Computer Skills for Economics by : Alberto Clerici
Download or read book Computer Skills for Economics written by Alberto Clerici and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computer skills for economics by : Alberto Clerici
Download or read book Computer skills for economics written by Alberto Clerici and published by . This book was released on 2013 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book La paix que nous devont faire written by and published by . This book was released on 1915 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computer Skills for Economics written by and published by . This book was released on 2010 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Economics by : David A. Kendrick
Download or read book Computational Economics written by David A. Kendrick and published by Princeton University Press. This book was released on 2011-10-23 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to conceptualize an economic problem verbally, to formulate it as a mathematical model, and then represent the mathematics in software so that the model can be solved on a computer is a crucial skill for economists. Computational Economics contains well-known models--and some brand-new ones--designed to help students move from verbal to mathematical to computational representations in economic modeling. The authors' focus, however, is not just on solving the models, but also on developing the ability to modify them to reflect one's interest and point of view. The result is a book that enables students to be creative in developing models that are relevant to the economic problems of their times. Unlike other computational economics textbooks, this book is organized around economic topics, among them macroeconomics, microeconomics, and finance. The authors employ various software systems--including MATLAB, Mathematica, GAMS, the nonlinear programming solver in Excel, and the database systems in Access--to enable students to use the most advantageous system. The book progresses from relatively simple models to more complex ones, and includes appendices on the ins and outs of running each program. The book is intended for use by advanced undergraduates and professional economists and even, as a first exposure to computational economics, by graduate students. Organized by economic topics Progresses from simple to more complex models Includes instructions on numerous software systems Encourages customization and creativity
Book Synopsis Computers in the Home Economics Classroom by : Ruth E. Browning
Download or read book Computers in the Home Economics Classroom written by Ruth E. Browning and published by . This book was released on 1985 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Economics by : Oscar Afonso
Download or read book Computational Economics written by Oscar Afonso and published by Routledge. This book was released on 2015-08-27 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Economics: A concise introduction is a comprehensive textbook designed to help students move from the traditional and comparative static analysis of economic models, to a modern and dynamic computational study. The ability to equate an economic problem, to formulate it into a mathematical model and to solve it computationally is becoming a crucial and distinctive competence for most economists. This vital textbook is organized around static and dynamic models, covering both macro and microeconomic topics, exploring the numerical techniques required to solve those models. A key aim of the book is to enable students to develop the ability to modify the models themselves so that, using the MATLAB/Octave codes provided on the book and on the website, students can demonstrate a complete understanding of computational methods. This textbook is innovative, easy to read and highly focused, providing students of economics with the skills needed to understand the essentials of using numerical methods to solve economic problems. It also provides more technical readers with an easy way to cope with economics through modelling and simulation. Later in the book, more elaborate economic models and advanced numerical methods are introduced which will prove valuable to those in more advanced study. This book is ideal for all students of economics, mathematics, computer science and engineering taking classes on Computational or Numerical Economics.
Book Synopsis An Introduction to R for Quantitative Economics by : Vikram Dayal
Download or read book An Introduction to R for Quantitative Economics written by Vikram Dayal and published by Springer. This book was released on 2015-03-17 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free, extremely flexible and extensible. The book addresses the specific needs of economists, and helps them move up the R learning curve. It covers some mathematical topics such as, graphing the Cobb-Douglas function, using R to study the Solow growth model, in addition to statistical topics, from drawing statistical graphs to doing linear and logistic regression. It uses data that can be downloaded from the internet, and which is also available in different R packages. With some treatment of basic econometrics, the book discusses quantitative economics broadly and simply, looking at models in the light of data. Students of economics or economists keen to learn how to use R would find this book very useful.
Book Synopsis Microeconomics: A Computational Approach by : Gerald E. Thompson
Download or read book Microeconomics: A Computational Approach written by Gerald E. Thompson and published by Routledge. This book was released on 2016-07-08 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise and comprehensive introduction to economics offers readers at all levels a more realistic approach to understanding the elements of resource and product markets, including the role of business decisions; technological change; product differentiation; uncertainty; and the optimal location of activities. With the book's easy-to-use software package for computations, even non-economists will become strongly motivated and can gain a proficiency in economic analysis as well as in practical and professional decision-making skills. End-of-chapter problems, computer exercises, programming examples, and numerous diagrams further enhance the book's usefulness.
Book Synopsis The Economics of Artificial Intelligence by : Ajay Agrawal
Download or read book The Economics of Artificial Intelligence written by Ajay Agrawal and published by University of Chicago Press. This book was released on 2024-03-05 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Book Synopsis Handbook of Computational Economics by : Karl Schmedders
Download or read book Handbook of Computational Economics written by Karl Schmedders and published by Newnes. This book was released on 2013-12-31 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 today - Focuses on problems with few well-developed solutions in the literature of other disciplines - Emphasizes the potential for increasing the value of computational modeling in economics
Book Synopsis Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions by : Matt Taddy
Download or read book Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions written by Matt Taddy and published by McGraw Hill Professional. This book was released on 2019-08-23 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Use machine learning to understand your customers, frame decisions, and drive value The business analytics world has changed, and Data Scientists are taking over. Business Data Science takes you through the steps of using machine learning to implement best-in-class business data science. Whether you are a business leader with a desire to go deep on data, or an engineer who wants to learn how to apply Machine Learning to business problems, you’ll find the information, insight, and tools you need to flourish in today’s data-driven economy. You’ll learn how to: •Use the key building blocks of Machine Learning: sparse regularization, out-of-sample validation, and latent factor and topic modeling•Understand how use ML tools in real world business problems, where causation matters more that correlation•Solve data science programs by scripting in the R programming language Today’s business landscape is driven by data and constantly shifting. Companies live and die on their ability to make and implement the right decisions quickly and effectively. Business Data Science is about doing data science right. It’s about the exciting things being done around Big Data to run a flourishing business. It’s about the precepts, principals, and best practices that you need know for best-in-class business data science.
Book Synopsis Computable Foundations for Economics by : K. Vela Velupillai
Download or read book Computable Foundations for Economics written by K. Vela Velupillai and published by Routledge. This book was released on 2012-07-26 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computable Foundations for Economics is a unified collection of essays, some of which are published here for the first time and all of which have been updated for this book, on an approach to economic theory from the point of view of algorithmic mathematics. By algorithmic mathematics the author means computability theory and constructive mathematics. This is in contrast to orthodox mathematical economics and game theory, which are formalised with the mathematics of real analysis, underpinned by what is called the ZFC formalism, i.e., set theory with the axiom of choice. This reliance on ordinary real analysis and the ZFC system makes economic theory in its current mathematical mode completely non-algorithmic, which means it is numerically meaningless. The book provides a systematic attempt to dissect and expose the non-algorithmic content of orthodox mathematical economics and game theory and suggests a reformalization on the basis of a strictly rigorous algorithmic mathematics. This removes the current schizophrenia in mathematical economics and game theory, where theory is entirely divorced from algorithmic applicability – for experimental and computational exercises. The chapters demonstrate the uncomputability and non-constructivity of core areas of general equilibrium theory, game theory and recursive macroeconomics. The book also provides a fresh look at the kind of behavioural economics that lies behind Herbert Simon’s work, and resurrects a role for the noble classical traditions of induction and verification, viewed and formalised, now, algorithmically. It will therefore be of particular interest to postgraduate students and researchers in algorithmic economics, game theory and classical behavioural economics.
Book Synopsis Introduction to Computational Economics Using Fortran by : Hans Fehr
Download or read book Introduction to Computational Economics Using Fortran written by Hans Fehr and published by Oxford University Press. This book was released on 2020-01-09 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This exercise and solutions manual accompanies the main edition of Introduction to Computational Economics Using Fortran. It enables students of all levels to practice the skills and knowledge needed to conduct economic research using Fortran. Introduction to Computational Economics Using Fortran is the essential guide to conducting economic research on a computer. Aimed at students of all levels of education as well as advanced economic researchers, it facilitates the first steps into writing programming language. This exercise and solutions manual is accompanied by a program database that readers are able to download.
Book Synopsis Handbook of Computational Economics by : Leigh Tesfatsion
Download or read book Handbook of Computational Economics written by Leigh Tesfatsion and published by Elsevier. This book was released on 2006-05-15 with total page 905 pages. Available in PDF, EPUB and Kindle. Book excerpt: The explosive growth in computational power over the past several decades offers new tools and opportunities for economists. This handbook volume surveys recent research on Agent-based Computational Economics (ACE), the computational study of economic processes modeled as dynamic systems of interacting agents. Empirical referents for "agents" in ACE models can range from individuals or social groups with learning capabilities to physical world features with no cognitive function. Topics covered include: learning; empirical validation; network economics; social dynamics; financial markets; innovation and technological change; organizations; market design; automated markets and trading agents; political economy; social-ecological systems; computational laboratory development; and general methodological issues.*Every volume contains contributions from leading researchers*Each Handbook presents an accurate, self-contained survey of a particular topic *The series provides comprehensive and accessible surveys
Book Synopsis Thinking Like an Economist by : Elizabeth Popp Berman
Download or read book Thinking Like an Economist written by Elizabeth Popp Berman and published by Princeton University Press. This book was released on 2023-08-08 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: The story of how economic reasoning came to dominate Washington between the 1960s and 1980s—and why it continues to constrain progressive ambitions today For decades, Democratic politicians have frustrated progressives by tinkering around the margins of policy while shying away from truly ambitious change. What happened to bold political vision on the left, and what shrunk the very horizons of possibility? In Thinking like an Economist, Elizabeth Popp Berman tells the story of how a distinctive way of thinking—an “economic style of reasoning”—became dominant in Washington between the 1960s and the 1980s and how it continues to dramatically narrow debates over public policy today. Introduced by liberal technocrats who hoped to improve government, this way of thinking was grounded in economics but also transformed law and policy. At its core was an economic understanding of efficiency, and its advocates often found themselves allied with Republicans and in conflict with liberal Democrats who argued for rights, equality, and limits on corporate power. By the Carter administration, economic reasoning had spread throughout government policy and laws affecting poverty, healthcare, antitrust, transportation, and the environment. Fearing waste and overspending, liberals reined in their ambitions for decades to come, even as Reagan and his Republican successors argued for economic efficiency only when it helped their own goals. A compelling account that illuminates what brought American politics to its current state, Thinking like an Economist also offers critical lessons for the future. With the political left resurgent today, Democrats seem poised to break with the past—but doing so will require abandoning the shibboleth of economic efficiency and successfully advocating new ways of thinking about policy.
