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We present a global sensitivity analysis that quantifies the impact of parameter uncertainty on model outcomes …
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Uncertainty about the choice of identifying assumptions is common in causal studies, but is often ignored in empirical … practice. This paper considers uncertainty over models that impose different identifying assumptions, which, in general, leads … to a mix of point- and set-identified models. We propose performing inference in the presence of such uncertainty by …
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Uncertainty about the choice of identifying assumptions is common in causal studies, but is often ignored in empirical … practice. This paper considers uncertainty over models that impose different identifying assumptions, which, in general, leads … to a mix of point- and set-identified models. We propose performing inference in the presence of such uncertainty by …
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