SSE/EFI Working Paper Series in Economics and Finance
Microbased Time Series Analysis: Comparing the technique of pooling time series and cross-sectional data with a microbased superpopulation approach
Abstract: The purpose of this paper is to point out the similarities
and differences between the traditional econometric approach used for
analysing cross-sectional time series data and the microbased
superpopulation approach. The superpopulation approach is applicable when a
probability sample of units is actually drawn from a population of units
and followed over time. When this situation is at hand the superpopulation
approach offers a flexible way of dealing with the choice of estimation
technique for analysing macrorelations. In the superpopulation approach the
dummy variable technique is used for estimation conditional on the sample.
Population parameters which are not identical for each unit in the
population are estimated unconditionally using survey sampling principles.
Questions regarding the efficiency of the estimators are discussed.
Keywords: Time series; cross-sectional data; superpopulation approach; (follow links to similar papers)
JEL-Codes: C32; C42; (follow links to similar papers)
10 pages, November 1994
Questions (including download problems) about the papers in this series should be directed to Helena Lundin ()
Report other problems with accessing this service to Sune Karlsson ()
or Helena Lundin ().
Design by Joachim Ekebom