This book reviews the basic econometric methods that have been used to analyze panel data - in other words, data collected by observing a number of individuals over time. In analyzing panel, data, difficulties can arise due to unobserved individuals and/or time characteristics. The focus of this book is twofold: correcting for these difficulties, and providing methods for improvement of the efficiency of the estimates. Analysis of Panel Data draws together work on panel data from a number of different perspectives, including the econometric literature on specification analysis, the time series literature on dynamic models, and discrete choice literature. Empirical examples are provided to illustrate the theoretical discussion as well as to indicate areas of research where panel data might be useful.

This textbook provides a wide-ranging introduction to the use and theory of linear models for analyzing data. The authors emphasis is on providing a unified treatment of linear models, including analysis of variance models and regression models, based on projections, orthogonality, and other vector space ideas. Every chapter comes with numerous exercises and examples that make it ideal for a graduate- level course. All of the standard topics are covered in depth. In addition, the book covers topics that are not usually treated at this level, but which are important in their own right. The author, Ronald Christensen, is a Professor of Statistics at the University of New Mexico.

Product Description: Illustrated with numerous real-world examples borrowed from a broad base of industries, Introduction to Designed Experiments with JMP Examples, Third Edition, employs a gentle, progressive approach to using designed experiments. The book covers basic ideas, terminology, and the application of techniques necessary to conduct a study using the design of experiments (DOE) framework...read more