Problem Solving In Economics A Quantitative Approach
Download Problem Solving In Economics A Quantitative Approach PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Problem Solving In Economics A Quantitative Approach book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Problem Solving In Economics: A Quantitative Approach
Author: Monojit Chatterji
language: en
Publisher: World Scientific
Release Date: 2023-08-29
This book reinforces an understanding of Economics by showing how basic mathematics is used to construct models of the economy. By taking wide-ranging examples drawn for virtually all areas of economics, it shows how model-building is an indispensable aid to understanding economics.The mathematical techniques used in the book are fairly rudimentary — optimisation methods and equation-solving are the primary tools used. A brief explanation of constrained optimisation using Lagrange multipliers is provided. Throughout, the emphasis is on how these techniques are fruitfully deployed in constructing economic models and solving economic problems. It bridges the gap between mathematical analysis and economic logic. For readers, it builds confidence in constructing their own models for purposes of analysis. The book is well-suited for self-study.
Dynamic Economics
An integrated approach to the empirical application of dynamic optimization programming models, for students and researchers. This book is an effective, concise text for students and researchers that combines the tools of dynamic programming with numerical techniques and simulation-based econometric methods. Doing so, it bridges the traditional gap between theoretical and empirical research and offers an integrated framework for studying applied problems in macroeconomics and microeconomics. In part I the authors first review the formal theory of dynamic optimization; they then present the numerical tools and econometric techniques necessary to evaluate the theoretical models. In language accessible to a reader with a limited background in econometrics, they explain most of the methods used in applied dynamic research today, from the estimation of probability in a coin flip to a complicated nonlinear stochastic structural model. These econometric techniques provide the final link between the dynamic programming problem and data. Part II is devoted to the application of dynamic programming to specific areas of applied economics, including the study of business cycles, consumption, and investment behavior. In each instance the authors present the specific optimization problem as a dynamic programming problem, characterize the optimal policy functions, estimate the parameters, and use models for policy evaluation. The original contribution of Dynamic Economics: Quantitative Methods and Applications lies in the integrated approach to the empirical application of dynamic optimization programming models. This integration shows that empirical applications actually complement the underlying theory of optimization, while dynamic programming problems provide needed structure for estimation and policy evaluation.
Solve
SOLVE: Problems in Environmental Science delivers up a robust set of engaging quantitative problems geared toward students in guided problem-solving groups and Environmental Science courses. In response to repeated requests for more problems in environmental science, Katie Purvis-Roberts (Claremont McKenna, Pitzer and Scripps Colleges) and Tom Spiro (University of Washington), authors of Chemistry of the Environment, with a team of experienced environmental science teachers, have developed SOLVE: Problems in Environmental Science. This sleek and affordable stand-alone “problems” book serves up a broad array of quantitative problems addressing real-world issues in an approachable fashion. Requiring only algebra and a basic understanding of general chemistry, SOLVE is designed for use in traditional Environmental Science courses, as well as in student-centered guided problem-solving courses. Worked problems are followed by practice problems, with brief answers that allow students to check their work. With this text, your students will use their reasoning ability to tackle and solve problems ranging from global warming to GMOs. An Instructor’s Manual with detailed solutions is also available to adopting professors.