Research Catalog
Pooled time series analysis
- Title
- Pooled time series analysis / Lois W. Sayrs.
- Author
- Sayrs, Lois W.
- Publication
- Newbury Park, Calif. : Sage Publications, ©1989.
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1 Item
| Status | Format | Access | Call Number | Item Location |
|---|---|---|---|---|
| Text | Use in library | QA280 .S29 1989 | Off-site |
Details
- Description
- 79 pages : illustrations; 22 cm.
- Summary
- Combining time series and cross-sectional data provides the researcher with an efficient method of analysis and improved estimates of the population being studied. This analysis technique allows the sample size to be increased, which ultimately yields a more effective study.
- Series Statement
- Sage university papers series. Quantitative applications in the social sciences ; no. 07-070
- Uniform Title
- Quantitative applications in the social sciences ; no. 07-070.
- Subject
- Time-series analysis
- Regression analysis
- Time
- Regression Analysis
- Time
- time
- Regression analysis
- Time-series analysis
- Tijdreeksen
- Analyse (algemeen)
- Sociale wetenschappen
- Estatistica aplicada as ciencias sociais
- Social sciences > Methodology
- Analyse de régression
- Séries chronologiques
- Sciences sociales > Méthodes statistiques
- Bibliography (note)
- Includes bibliographical references (p. 77-78).
- Contents
- Introduction -- Theoretical derivation of the pooled time series model -- The constant coefficients model -- The LSDV model -- The random coefficient model -- The structural equation model -- Robustness: how good are these estimates -- Conclusions on pooled time series.
- ISBN
- 0803931603
- 9780803931602
- LCCN
- 89061129
- OCLC
- ocm19860900
- 19860900
- SCSB-1393574
- Owning Institutions
- Princeton University Library