This book is intended to provide the reader with a firm conceptual and empirical understanding of basic information-theoretic econometric models and methods. Because most data are observational, practitioners work with indirect noisy observations and ill-posed econometric models in the form of stochastic inverse problems. Consequently, traditional econometric methods in many cases are not applicable for answering many of the quantitative questions that analysts wish to ask. After initial chapters deal with parametric and semiparametric linear probability models, the focus turns to solving nonparametric stochastic inverse problems. In succeeding chapters, a family of power divergence measure likelihood functions are introduced for a range of traditional and nontraditional econometric-model problems. Finally, within either an empirical maximum likelihood or loss context, Ron C. Mittelhammer and George G. Judge suggest a basis for choosing a member of the divergence family.

This book is intended to provide the reader with a firm conceptual and empirical understanding of basic information-theoretic econometric models and methods. Because most data are observational, practitioners work with indirect noisy observations and ill-posed econometric models in the form of stochastic inverse problems. Consequently, traditional econometric methods in many cases are not applicable for answering many of the quantitative questions that analysts wish to ask. After initial chapters deal with parametric and semiparametric linear probability models, the focus turns to solving nonparametric stochastic inverse problems. In succeeding chapters, a family of power divergence measure likelihood functions are introduced for a range of traditional and nontraditional econometric-model problems. Finally, within either an empirical maximum likelihood or loss context, Ron C. Mittelhammer and George G. Judge suggest a basis for choosing a member of the divergence family.

Computing Skills for Economists can be used as a core textbook for students taking an introductory course in computing for economists and also as a guide for economists who wish to develop their computing skills through self-directed study. In this book, Guy Judge focuses on the tools and resources that are particularly relevant to economists with examples of their use in economics. A web site has been set up to support this book providing information on new developments and supplementary materials. This web site can be found at http://www.wiley.co.uk/judge

"A unique book, essential to any economist's toolkit. From the level of the absolute beginner, and in a very user-friendly style, it takes the reader step by step through the entire range of computing skills essential to the study of economics. The book answers innumerable questions and saves many hours otherwise typically squandered on 'trial and error' methods of mastering software. Almost any economics student, whatever their level, will learn something new from this book." Geoff Renshaw, Lecturer in Economics, University of Warwick

"This book is impressive for the comprehensiveness and clarity of its explanations of mainly Windows applications of personal computer research tools for economists. Its accessibility to those with diverse computer literacy will raise the bar of the skills instructors can reasonable expect of their students without sacrificing valuable class time or having to prepare elaborate handouts to level the playing field. Its extensive examples will teach students a good deal of ecomonics as well as enriching their research abilities." Arnie Katz, Economics Professor Emeritus, University of Pittsburhg

"A goldmine of skills for every aspiring economist. Something for everyone." Ron Shone, Senior Lecturer in Economics, University of Stirling