This book is a practical guide for theory-based empirical analysis in economics that guides the reader through the first steps when moving between economic theory and applied research. The book provides a hands-on introduction to some of the techniques that economists use for econometric estimation and shows how to convert a selection of standard and advanced estimators into MATLAB code. The book first provides a brief introduction to MATLAB and its syntax, before moving into microeconometric applications studied in undergraduate and graduate econometrics courses. Along with standard estimation methods such as, for example, Method of Moments, Maximum Likelihood, and constrained optimisation, the book also includes a series of chapters examining more advanced research methods. These include discrete choice, discrete games, dynamic models on a finite and infinite horizon, and semi- and nonparametric methods. In closing, it discusses more advanced features that can be used to optimise use of MATLAB, including parallel computing. Each chapter is structured around a number of worked examples, designed for the reader to tackle as they move through the book. Each chapter ends with a series of readings, questions, and extensions, designed to help the reader on their way to adapting the examples in the book to fit their own research questions.

The book is oriented to the practitioner.

This book is a practical guide for theory-based empirical analysis in economics that guides the reader through the first steps when moving between economic theory and applied research. The book provides a hands-on introduction to some of the techniques that economists use for econometric estimation and shows how to convert a selection of standard and advanced estimators into MATLAB code. The book first provides a brief introduction to MATLAB and its syntax, before moving into microeconometric applications studied in undergraduate and graduate econometrics courses. Along with standard estimation methods such as, for example, Method of Moments, Maximum Likelihood, and constrained optimisation, the book also includes a series of chapters examining more advanced research methods. These include discrete choice, discrete games, dynamic models on a finite and infinite horizon, and semi- and nonparametric methods. In closing, it discusses more advanced features that can be used to optimise use of MATLAB, including parallel computing. Each chapter is structured around a number of worked examples, designed for the reader to tackle as they move through the book. Each chapter ends with a series of readings, questions, and extensions, designed to help the reader on their way to adapting the examples in the book to fit their own research questions.

Following theseminal Palgrave Handbook of Econometrics: Volume I , this second volume brings together the finestacademicsworking in econometrics today andexploresapplied econometrics, containing contributions onsubjects includinggrowth/development econometrics and applied econometrics and computing.

This book takes recent theoretical advances in Finance and Economics and shows how they can be implemented in the real world. It presents tactics for using mathematical and simulation models to solve complex tasks of forecasting income, valuing businesses, predicting retail sales, and evaluating markets and tax and regulatory problems. Busine

Financial, Macro and Micro Econometrics Using R, Volume 42, provides state-of-the-art information on important topics in econometrics, including multivariate GARCH, stochastic frontiers, fractional responses, specification testing and model selection, exogeneity testing, causal analysis and forecasting, GMM models, asset bubbles and crises, corporate investments, classification, forecasting, nonstandard problems, cointegration, financial market jumps and co-jumps, among other topics. - Presents chapters authored by distinguished, honored researchers who have received awards from the Journal of Econometrics or the Econometric Society - Includes descriptions and links to resources and free open source R - Gives readers what they need to jumpstart their understanding on the state-of-the-art

In this book, John P. Burkett presents microeconomics as an evolving science, interacting with mathematics, psychology, and other disciplines and offering solutions to a growing range of practical problems. The book shows how early contributors such as Xenophon, Ibn Khaldun, and David Hume posed the normative and positive questions central to microeconomics. It expounds constrained optimization techniques, as developed by economists and mathematicians from Daniel Bernoulli to Leonid Kantorovich, emphasizing their value in deriving norms of rational behavior and testable hypotheses about typical behavior. Applying these techniques, the book introduces partial equilibrium analysis of particular markets and general equilibrium analysis of market economies. The book both explains how laboratory and field experiments are used in testing economic hypotheses and provides materials for classroom experiments. It gives extensive and innovative coverage of recent findings in cognitive psychology and behavioral economics, which not only document behavior inconsistent with some traditional theories, but also advance positive theories with superior predictive power.

Enhance your understanding of Microeconomics with this comprehensive companion workbook to the textbook "Microeconomics: Static and Dynamic Analysis." Immerse yourself in a wide range of exercises covering fundamental microeconomic concepts, intricate mathematical problems, and captivating case study scenarios. Each chapter provides meticulously crafted solutions and answers, enabling you to reinforce your knowledge and sharpen your analytical skills. Additionally, the workbook offers downloadable electronic supplementary materials including Excel and MATLAB files, empowering you to derive solutions and delve deeper into the subject matter. Designed for both instructors and students, this workbook is an invaluable resource for mastering the analytical and mathematical tools essential to the field of economics.

Handbook of Econometrics, Volume 7A, examines recent advances in foundational issues and "hot" topics within econometrics, such as inference for moment inequalities and estimation of high dimensional models. With its world-class editors and contributors, it succeeds in unifying leading studies of economic models, mathematical statistics and economic data. Our flourishing ability to address empirical problems in economics by using economic theory and statistical methods has driven the field of econometrics to unimaginable places. By designing methods of inference from data based on models of human choice behavior and social interactions, econometricians have created new subfields now sufficiently mature to require sophisticated literature summaries. - Presents a broader and more comprehensive view of this expanding field than any other handbook - Emphasizes the connection between econometrics and economics - Highlights current topics for which no good summaries exist

This textbook for an introductory undergraduate audience covers the standard material of microeconomics and presents it as if there is little theoretical controversy in the field. The CD-ROM contains self- testing exercises, graphing workshops, and video lectures (tied to a certain large news network). Annotation copyrighted by Book News, Inc., Portland, OR