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

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  • ROBERTO FANFANI

Abstract

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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  • Roberto Fanfani, 1974. "Pooling time-series and cross-section data: A review," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 2(1), pages 65-85.
    • Handle: RePEc:oup:erevae:v:2:y:1974:i:1:p:65-85.
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    File URL: http://hdl.handle.net/10.1093/erae/2.1.65
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