The Econometric Analysis of Time Series or Distributed Work

The Econometric Analysis of Time Series

Author: Andrew C Harvey

This new edition of A.C. Harvey's clearly written, upper-level text has been revised and several sections have been completely rewritten. There is new material on a number of topics, including unit roots, ARCH, and cointegration.

The Econometric Analysis of Time Series focuses on the statistical aspects of model building, with an emphasis on providing an understanding of the main ideas and concepts in econometrics rather than presenting a series of rigorous proofs. It explores the way in which recent advances in time series analysis have affected the development of a theory of dynamic econometrics, sets out an integrated approach to the problems of estimation and testing based on the method of maximum likelihood, and presents a coherent strategy for model selection.

A.C. Harvey is Professor of Econometrics at the London School of Economics.

Booknews

A textbook for graduates and upper level undergraduates. The second edition (first, 1981) contains new material on unit roots, ARCH, and cointegration. Emphasizes the statistical aspects of model building, and the main principles rather than rigorous proofs. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Look this: Behavior in Organizations or Microsoft Office XP

Distributed Work

Author: Pamela J Hinds

Technological advances and changes in the global economy are increasing the geographic distribution of work in industries as diverse as banking, wine production, and clothing design. Many workers communicate regularly with distant coworkers; some monitor and manipulate tools and objects at a distance. Work teams are spread across different cities or countries. Joint ventures and multiorganizational projects entail work in many locations. Two famous examples--the Hudson Bay Company's seventeenth-century fur trading empire and the electronic community that created the original Linux computer operating system--suggest that distributed work arrangements can be flexible, innovative, and highly successful. At the same time, distributed work complicates workers' professional and personal lives. Distributed work alters how people communicate and how they organize themselves and their work, and it changes the nature of employee-employer relationships.

This book takes a multidisciplinary approach to the study of distributed work groups and organizations, the challenges inherent in distributed work, and ways to make distributed work more effective. Specific topics include division of labor, incentives, managing group members, facilitating interaction among distant workers, and monitoring performance. The final chapters focus on distributed work in one domain, collaborative scientific research. The contributors include psychologists, cognitive scientists, sociologists, anthropologists, historians, economists, and computer scientists.