Augustine Denteh is an Assistant Professor in the Department of Economics at Tulane University. His broad research interests are in Applied Econometrics and Health Economics, where he is interested in employing innovative econometric tools to study how public policies affect people’s health and wellbeing. In particular, he works on impact evaluation, measurement error models, the economics of obesity, and safety net programs such as food and nutrition programs and public insurance for low-income populations. Some of his methodological work involves developing methods to address misreporting or measurement error in treatment effect estimation. Denteh is also working on techniques for generalizability of treatment effects using statistical machine learning approaches for causal inference with healthcare policy applications.

Before his Postdoctoral Research Fellowship in Econometrics at the Harvard Medical School, Denteh received his Ph.D. in Economics from Georgia State University, an MA in Economics from the University of Akron, and a BA in Economics and Statistics from the University of Ghana.