National Science Library of Georgia

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Longitudinal and panel data : analysis and applications in the social sciences / Edward W. Frees.

By: Material type: TextTextPublisher: Cambridge : Cambridge University Press, 2004Description: 1 online resource (xvi, 467 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780511790928 (ebook)
Other title:
  • Longitudinal & Panel Data
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 300/.72/7 22
LOC classification:
  • HA29 .F6816 2004
Online resources: Summary: This focuses on models and data that arise from repeated observations of a cross-section of individuals, households or companies. These models have found 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 graduate social science students as well as individual researchers. He emphasizes mathematical and statistical fundamentals but also describes substantive applications from across the social sciences, showing the breadth and scope that these models enjoy. The applications are enhanced by real-world data sets and software programs in SAS and Stata.
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Title from publisher's bibliographic system (viewed on 05 Oct 2015).

This focuses on models and data that arise from repeated observations of a cross-section of individuals, households or companies. These models have found 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 graduate social science students as well as individual researchers. He emphasizes mathematical and statistical fundamentals but also describes substantive applications from across the social sciences, showing the breadth and scope that these models enjoy. The applications are enhanced by real-world data sets and software programs in SAS and Stata.

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