Longitudinal and Panel Data: Analysis and Applications in the Social Sciences

Frees, Edward W.

ISBN 10: 0521828287 / ISBN 13: 9780521828284

Published by Cambridge University Press, 2004

About this Item

Bright and clean, firm and square, just a few bumps and rubs. Hence a non-text page is stamped 'damaged'. Despite such this book is in better than very good condition. Thus it looks and feels unread with contents that are crisp, fresh and tight. Now offered for sale at a special bargain price.

Seller Inventory # 123213

Bibliographic Details

• Title: Longitudinal and Panel Data: Analysis and Applications in the Social Sciences
• Publisher: Cambridge University Press
• Publication Date: 2004
• Language: English
• ISBN 10: 0521828287
• ISBN 13: 9780521828284
• Binding: Hardcover
• Edition: First Edition.
• Condition: Very Good
• Seller catalogs:
  • Science, Mathematics & Technology

About this title

Synopsis

Focusing on an analysis of models and data that arise from repeated observations of a cross-section of individuals, households or firms, this book also covers important applications within business, economics, education, political science and other social science disciplines. The author introduces the foundations of longitudinal and panel data analysis at a level suitable for quantitatively oriented social science graduate students as well as individual researchers. He emphasizes mathematical and statistical fundamentals but also demonstrates substantive applications from across the social sciences. These applications are enhanced by real-world data sets and software programs in SAS and Stata.

About the Author

E. W. Frees is a Professor of Business at the University of Wisconsin-Madison and is holder of the Fortis Health Insurance Professorship of Actuarial Science. He is a Fellow of both the Society of Actuaries and the American Statistical Association. He has served in several editorial capacities including Editor of the North American Actuarial Journal and Associate Editor for Insurance: Mathematics and Economics. An award-winning researcher, he as published in the leading refereed academic journals in Business and Economics and Theoretical and Applied Statistics.