This may be an antiquated tradition from the early days of the internet, but, thank you for taking the time to check out my research page. You can read below to see links to what I’ve been up to or just check out my cv for the highlights.


I was trained in structural econometrics and applied microeconomics by the inestimably valuable team of Steven Stern, Amalia Miller, and John Pepper at the University of Virginia. Specializing in Public, Labor, and Industrial Organization, I wrote my dissertation on Defensive Medicine in Obstetrics by estimating a nested discrete choice model of utility maximization over practice locations and treatment styles (C-sections), using all live births in the United States in 1999. While in graduate school, I also began my research into well-being and mental health while exploring suicide and its relation to the labor supply of various levels of health-care professionals.

I continued my interest in preference estimation by partnering with cardiologists at Wake Forest to develop an iPad app—based on conjoint analysis and discrete choice survey experiments—that surveyed patients to design optimal treatments for critical limb ischemia and peripheral artery disease. 

The subjective nature of preferences and self-reported health has led me back to my research roots of preference estimation and well-being, in which I am integrating psychological metrics into traditional economic analyses.

As the associate director of the Eudaimonia Institute, I oversee our research team and work primarily on incorporating philosophical wisdom from virtue ethics with insights from positive psychology into modern econometric models. As I wrote in my review of happiness economist Carol Graham’s latest book, “the field of subjective well-being seems itself to be emerging as a new field of interdisciplinary collaboration.” Though many empirical challenges remain for these measures to be used in concert with objective indicators of economic welfare they seem to capture unique variation in choice behavior missed by measures of material well-being. If revealed preference can tell us anything, I’ve always enjoyed an uphill battle.

Current work on my latest paper, “Creative Destruction, Job Reallocation, and Subjective Well-Being” is ongoing. We examine US Census data on labor market flows in conjunction with psychological measures from the Gallup Healthways Survey. We find substantial heterogeneity in worker well being depending on worker characteristics and the nature of the job turnover. Along the way, we published our R-package, tidyQWI, in the Journal of Open Source Software. It is an easy to use tool for anyone who may want to pull data from the Census Bureau’s Quarterly Workforce Indicators’ API.