Title: Pooled time series analysis /
Authors: Sayrs, Lois W.
Publisher: Sage Publications,
Year: 1989
Subjects: Time-series analysis.; Regression Analysis; Time
Abstract: 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.
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.