Recovering Lost Information: Imputing Missing Data to Generate Synthetic Complete Datasets (SCD) for Social Science Research

• In Event: Lightning Talk: Methods and Measures

Brief Overview

We introduce powerful , yet easy to use, imputation method to use information from incomplete observations for unbiased inference. That is providing insights via synthesizing a dataset based on an incomplete dataset, and comparing two model's output.

Authors

• Jeff Gill, American University

• Ali Amini, Center for Data Science, American University