A basic introduction written in non-technical language, this remarkable text keeps mathematical demands to a minimum so that students can spend less time on technicalities and more on understanding basic concepts. With many exercises in the text, a floppy disk containing data sets on expenditure and price for different commodities, an unusually detailed teacher's manual with additional exercises and masters for overhead transparencies, and spectacular video graphic sequences, this uniquely rich introductory text will transform the teaching of the subject.

Product Description: This book is an introduction to financial valuation and financial data analyses using econometric methods. It is intended for advanced finance undergraduates and graduates. Most chapters in the book would contain one or more finance application examples where finance concepts, and sometimes theory, are taught...read more

Product Description: Stochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. The authors explain in detail how to estimate production, cost, and profit efficiency and introduce the basic theory of each model in an accessible way, using empirical examples that demonstrate the interpretation and application of models...read more

Product Description: Now in its tenth edition, Accounting for Non Accountants provides the perfect introduction to the basics of accounting and finance. Designed for non-specialists with little or no background in accounting, it guides readers through the maze of financial terms and accounting concepts and techniques in a meaningful and easy-to-follow style...read more

The majority of empirical research in economics ignores the potential benefits of nonparametric methods, while the majority of advances in nonparametric theory ignores the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical nonparametric econometricians. It discusses in depth, and in terms that someone with only one year of graduate econometrics can understand, basic to advanced nonparametric methods. The analysis starts with density estimation and motivates the procedures through methods that should be familiar to the reader. It then moves on to kernel regression, estimation with discrete data, and advanced methods such as estimation with panel data and instrumental variables models. The book pays close attention to the issues that arise with programming, computing speed, and application. In each chapter, the methods discussed are applied to actual data, paying attention to presentation of results and potential pitfalls.

Product Description: An Introductory Econometrics Text Mathematical Statistics for Applied Econometrics covers the basics of statistical inference in support of a subsequent course on classical econometrics. The book shows students how mathematical statistics concepts form the basis of econometric formulations...read more