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Pooled Time Series Analysis

Pooled Time Series Analysis

80 pages | SAGE Publications, Inc
Researchers have often been troubled with relevant data available from both temporal observations at regular intervals (time series) and from observations at single points of time (cross-sections). Pooled Time Series Analysis combines time series and cross-sectional data to provide the researcher with an efficient method of analysis and improved estimates of the population being studied. In addition, with more relevant data available this analysis technique allows the sample size to be increased, which ultimately yields a more effective study.
Theoretical Derivation of the Pooled Time Series Model
The Constant Coefficients Model
The LSDV Model
The Random Coefficient Model
The SEQ Model
Robust Estimation
Summary and Conclusions

Lois W. Sayrs

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