Pooled Time Series Analysis (Quantitative Applications in the Social Sciences): 70 - Softcover

Book 118 of 194: Quantitative Applications in the Social Sciences

Sayrs, Lois W.

 
9780803931602: Pooled Time Series Analysis (Quantitative Applications in the Social Sciences): 70

Synopsis

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.


"synopsis" may belong to another edition of this title.

Synopsis

For social science researchers who find themselves with data available from both temporal observations at regular intervals (time series) and from observations at single points of time (cross-sections), pooled time series can improve the statistical efficiency of the estimates. By "pooling" time series and cross-sectional data, the researcher can increase the sample size and do a more effective analysis.

"About this title" may belong to another edition of this title.