The data where the GED anomaly arose (NHIS) is all self-reported.  What if the GED anomaly is simply due to systematic reporting differences across groups rather than differences in the actual underlying health status?   With Vicki Johnson-Lawrence,  we addressed this question by using objectively-measured biomarkers available in NHANES data.  We found that the anomaly was smaller but still visible even when we eliminated potential self-report bias. The paper was published in 2016 in Social Science and Medicine-Population Health.

More to follow in early 2019.