New Perspectives in Econometric Theory comprises specially selected papers by Halbert White which reflect his research in a variety of related areas in econometrics: heteroskedasticity of unknown form; nonlinear and nonparametric regression; instrumental variables and generalized method of moments estimation; and measurability and limit theory. In many instances, results from one paper provide the foundation for, or suggest new directions for, research taken up by others in the collection. The intent of collecting these papers together in the present volume, with new commentaries by the author, is to provide access both to a modern unified perspective for econometric theory and to a set of concepts and tools that will be useful to practitioners in the field. As a companion to the first volume entitled Advances in Econometric Theory, this latest selection of Halbert White's work will appeal to academics and researchers in econometrics and economic theory.

Econometric Theory and Methods International Edition provides a unified treatment of modern econometric theory and practical econometric methods. The geometrical approach to least squares is emphasized, as is the method of moments, which is used to motivate a wide variety of estimators and tests. Simulation methods, including the bootstrap, are introduced early and used extensively. The book deals with a large number of modern topics. In addition to bootstrap and Monte Carlo tests, these include sandwich covariance matrix estimators, artificial regressions, estimating functions and the generalized method of moments, indirect inference, and kernel estimation. Every chapter incorporates numerous exercises, some theoretical, some empirical, and many involving simulation.

This book covers the main topics that students need to learn in a course on Industrial Organization. It reviews the classic models and important empirical evidence related to the field. However, it will differ from prior textbooks in two ways. First, this book incorporates contributions from behavioral economics and neuroeconomics, providing the reader with a richer understanding of consumer preferences and the motivation for many of the business practices we see today. The book discusses how firms exploit consumers who are prone to making mistakes and who suffer from cognitive dissonance, attention lapses, and bounded rationality, for example and will help explain why firms invest in persuasive advertising, offer 30-day free trials, offer money-back guarantees, and engage in other observed phenomena that cannot be explained by the traditional approaches to industrial organization. A second difference is that this book achieves a balance between textbooks that emphasize formal modeling and those that emphasize the history of the field, empirical evidence, case studies, and policy analysis. This text puts more emphasis on the micro-foundations (i.e., consumer and producer theory), classic game theoretic models, and recent contributions from behavioral economics that are pertinent to industrial organization. Each topic will begin with a discussion of relevant theory and models and will also include a discussion of concrete examples, empirical evidence, and evidence from case studies. This will provide students with a deeper understanding of firm and consumer behavior, of the factors that influence market structure and economic performance, and of policy issues involving imperfectly competitive markets. The book is intended to be a textbook for graduate students, MBAs and upper-level undergraduates and will use examples, graphical analysis, algebra, and simple calculus to explain important ideas and theories in industrial organization.

The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated. The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.

This book illustrates how economists first learnt to harness statistical methods to measure and test the 'laws' of economics.

A concise treatment of modern econometrics and statistics, including underlying ideas from linear algebra, probability theory, and computer programming. This book offers a cogent and concise treatment of econometric theory and methods along with the underlying ideas from statistics, probability theory, and linear algebra. It emphasizes foundations and general principles, but also features many solved exercises, worked examples, and code listings. After mastering the material presented, readers will be ready to take on more advanced work in different areas of quantitative economics and to understand papers from the econometrics literature. The book can be used in graduate-level courses on foundational aspects of econometrics or on fundamental statistical principles. It will also be a valuable reference for independent study. One distinctive aspect of the text is its integration of traditional topics from statistics and econometrics with modern ideas from data science and machine learning; readers will encounter ideas that are driving the current development of statistics and increasingly filtering into econometric methodology. The text treats programming not only as a way to work with data but also as a technique for building intuition via simulation. Many proofs are followed by a simulation that shows the theory in action. As a primer, the book offers readers an entry point into the field, allowing them to see econometrics as a whole rather than as a profusion of apparently unrelated ideas.

New Perspectives in Economics: Research from Developing Countries is a new collection of topical articles that examine the changing economic landscape in developing countries in Africa and Asia in particular. This book provides researchers, professionals, managers and policy makers with an easy-to-read selection of interesting research articles.