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- W1501551390 abstract "Misspecifications and differences in operational definitions of elasticities in primary studies carry over to meta-analysis results. We show that the current practice of accounting for such primary study aberrations in a meta-analysis by means of dummy variables goes a long way in mitigating their negative effects on the bias and mean squared error of the estimator, and the size and the power of the statistical tests on the meta-estimate. Controlling for omitted variable bias has a bigger beneficial impact on the meta-analysis results than the concomitant procedure for point versus double-log elasticities. However, the impact of mixing different types of elasticities on the results of a meta-analysis is smaller in any case." @default.
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- W1501551390 date "2005-01-01" @default.
- W1501551390 modified "2023-10-18" @default.
- W1501551390 title "Correcting for Primary Study Misspecifications in Meta-Analysis" @default.
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- W1501551390 doi "https://doi.org/10.2139/ssrn.687742" @default.
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