AbstractAggregation in the presence of data-processing lags distorts the information content of data, violating orthogonality restrictions that hold at the individual level. Though the phenomenon is general, it is illustrated here for the life-cycle-permanent-income model. Cross-section and pooled-panel data induce information-aggregation bias akin to that in aggregate time series. Calculations show that information aggregation can seriously bias tests of the life-cycle model on aggregate time series, cross-section, and pooled-panel data. Copyright 1992 by American Economic Association.
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Bibliographic InfoArticle provided by American Economic Association in its journal American Economic Review.
Volume (Year): 82 (1992)
Issue (Month): 3 (June)
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