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© 1974 Oxford University Press and the Foundation for the European Review of Agricultural Economics

other

Pooling time-series and cross-section data: A review

ROBERTO FANFANI*

University of Naples

Summary

The increased availability of disaggregated information over time provides opportunities for a more complete analysis in economic research. It also poses the problem as to how to make a more efficient use of such data. Different methods of pooling time-series and cross-section data have been proposed. Some consider the problem of obtaining extraneous information from a cross-section sample in order to incorporate this into a time-series. Other methods focus on a specification of the error structure of the model. These methods are not mutually exclusive. This article reviews the different methods, outlining both their merits and limitations.


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