The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Longitudinal and Panel Data: Analysis and Applications in the Social Sciences
Abstract
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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Lee, G., & Raghu, T. S. (2014) · Journal of Management Information Systems · doi:10.2753/mis0742-1222310206 · Cited by 265
Sample size determination for mediation analysis of longitudinal data
Pan, H., Liu, S., Miao, D., & Yuan, Y. (2018) · BMC Medical Research Methodology · doi:10.1186/s12874-018-0473-2 · Cited by 170
Predicting the frequency and amount of health care expenditures
Frees, E. W., Gao, J., & Rosenberg, M. A. (2011) · North American Actuarial Journal · doi:10.1080/10920277.2011.10597626 · Cited by 73
Self-citationGarschagen, A., Steegers, M. A. H., van Bergen, A. H. M. M., Jochijms, J. A. M., Skrabanja, T. L. M., Vrijhoef, H. J. M., Smeets, R. J. E. M., & Vissers, K. C. P. (2015) · Pain Practice · doi:10.1111/papr.12234 · Cited by 19
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Metadata
- Authors
- Frees, E. W.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2004-08-16
- OpenAlex
- W657476391
- Cited by
- 839
- References
- 26
- FWCI
- 3.44
- Type
- book
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
