Computing Skills For Economists

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.

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

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.

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.