In this article, we test a new method of combining economic forecasts, the odds-matrix approach, using Clemen and Winkler's (1986) data on gross-national-product forecasts. For these data, the results show that the odds-matrix method is more accurate than each of the other methods tested and can be expected to be especially useful when data are nonstationary or sparse.
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Гупта et al. (1988) studied this question.
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