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 section). Pooled Times 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.
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Theoretical Derivation of the Pooled Time Series Model
The Constant Coefficients Model
The LSDV Model
The Random Coefficient Model
The SEQ Model
Summary and Conclusions