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CINCH - Forschungszentrum für Gesundheitsökonomik

Virtual Essen Health Economics Seminar

Am Montag, den 03. Mai 2021, 16:00 - 17:30 Uhr, wird Kitt Carpenter (Vanderbilt) seine Forschung vorstellen:

Bad Lighting: Effects of Youth Indoor Tanning Prohibitions

Indoor tanning beds (ITBs) emit harmful UV light at high intensity and have been classified as carcinogenic to humans by the World Health Organization since 2009. In that same year, more one in three white high school girls reported using an indoor tanning bed in the prior year; by 2019 that figure had fallen to fewer than one in ten. We are the first to study the role of state laws prohibiting youths from indoor tanning on many tanning-related outcomes using difference-in-differences models and staggered adoption of ITB prohibitions across states. We find that youth ITB prohibitions reduced search intensity for tanning-related information and reduced self-reported indoor tanning participation and intensity among teen girls. We also find that youth ITB prohibitions significantly reduced the size of the indoor tanning market by increasing tanning salon closures and reducing tanning salon sales. We find little evidence of unintended consequences on other youth risky behaviors, and in fact we find evidence that youth ITB prohibitions increase sun protective behaviors. Our results demonstrate the effectiveness of youth ITB prohibitions and provide novel evidence on how public health policies affect private market outcomes.

Raum: Aufgrund der aktuellen Lage in Bezug auf die COVID-19-Pandemie findet der Vortrag in einem virtuellen Seminarraum statt. Für mehr Informationen klicken Sie bitte hier.


Virtual Essen Health Economics Seminar

Am Montag, den 26. April 2021, 16:00 - 17:30 Uhr, wird Marion Aouad (UC Irvine) ihre Forschung vorstellen:

An Examination of the Intracorrelation of Family Health Insurance

The onset of an individual-level health shock may result in non-trivial health insurance consequences for the family. This is because of the structure of US health care markets, where health insurance is often bundled at the family level and provided through an employer. Yet, relatively little is known about how the structure of bundled health insurance may amplify the effects of an individual-level health shock. Filling this gap, this study uses a large US medical claims dataset to examine how an isolated appendicitis emergency affects families’ health insurance outcomes.  Using coarsened exact matching and stacked difference-in-differences, this study finds that an acute appendicitis emergency leads to a 7-14 percent decreased likelihood of leaving the current health insurance network and health plan. This is primarily driven by reduced rates of job switching by the plan’s primary beneficiary. Furthermore, switching frictions stemming from the non-portability of health insurance products may contribute to the observed "health plan lock."

Raum: Aufgrund der aktuellen Lage in Bezug auf die COVID-19-Pandemie findet der Vortrag in einem virtuellen Seminarraum statt. Für mehr Informationen klicken Sie bitte hier.


Virtual Essen Health Economics Seminar

Am Montag, den 19. April 2021, 16:00 - 17:30 Uhr, wird Leila Agha (Dartmouth College) ihre Forschung vorstellen:

Fixing Misallocation with Guidelines: Awareness vs. Adherence

Expert decisions often deviate from evidence-based guidelines. If experts are unaware of guidelines, dissemination may improve outcomes. If experts are aware of guidelines but continue to deviate, promoting stricter adherence has ambiguous effects on outcomes, depending on whether experts have information not in guidelines. We study guidelines for anticoagulant use to prevent strokes among atrial fibrillation patients. By text-mining physician notes for guideline mentions, we identify when physicians start using a guideline. After mentioning the guideline, physicians' prescription decisions become more guideline concordant, but adherence remains far from perfect. To evaluate whether non-adherence reflects physicians' superior information, we combine observational data on treatment choices with machine learning estimates of heterogeneous treatment effects from eight randomized trials. When physicians depart from guidelines, they are not responding to measurable treatment effect heterogeneity. Promoting stricter adherence to guidelines could prevent 33% more strokes, producing much larger gains than broader guideline awareness.

Raum: Aufgrund der aktuellen Lage in Bezug auf die COVID-19-Pandemie findet der Vortrag in einem virtuellen Seminarraum statt. Für mehr Informationen klicken Sie bitte hier.