class: center, middle, inverse, title-slide .title[ # Reducing Racial Disparities through Experience: Evidence from Medical Device Choice in Cardiac Catherization Labs ] .subtitle[ ## Presenter: Chad Stecher, Arizona State University ] .author[ ### Discussant: Ian McCarthy, Emory University and NBER ] .date[ ### ASHEcon Annual Meeting, June 28, 2022 ] --- <!-- Adjust some CSS code for font size, maintain R code font size --> <style type="text/css"> .remark-slide-content { font-size: 30px; padding: 1em 2em 1em 2em; } .remark-code, .remark-inline-code { font-size: 20px; } </style> <!-- Set R options for how code chunks are displayed and load packages --> # Racial disparities in health care - Lower life expectancy of more than 4 years for non-Hispanic Black Americans versus White Americans - More than 6 years in 2020 - What can health care policy do to shrink this gap? - **Outright discrimination** - **Implicit bias** -- <br> This paper (I think) can speak to this decomposition --- # This paper *Main Question*: Does experience with Black patients reduce the racial gap in DES use? <br> *Approach*: LPM regression of DES use (separately by race) against different measures of experience <br> Unique data on team construction! --- class: inverse, center, middle name: questions # Some high-level thoughts <html><div style='float:left'></div><hr color='#EB811B' size=1px width=1055px></html> --- # Learning differentially by race? - Other evidence that physicians learn differentially by the race of the patient? - Consistent with implicit bias, but haven't seen in a learning context - Maybe related to Sarsons, **Interpreting Signals in the Labor Market: Evidence from Medical Referrals** - Role of implicit bias could work in different directions, depending on strength of priors and early experience --- # Who is learning? - Hard to think about team learning in this context - Specialist seems to make the decision of whether to use DES