Missing Data

Latent Factor Approach to Missing Not at Random

Naijia Liu (Princeton University)

Abstract: Social scientists rely heavily on survey datasets to study important questions, such as policy preferences and voting intentions. However, it is common that respondents choose not to answer a certain question due to some unobserved confounders, thus causing ’missing not at random (MNAR)’...

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