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CINCH - Forschungszentrum für Gesundheitsökonomik

Virtual Essen Health Economics Seminar

Am Montag, den 11. Mai 2020, 8:00 - 9:30 Uhr, wird Johannes Kunz (Monash University) seine Forschung vorstellen:

Predicting Fixed Effects: Assessing the Quality of Public Services: Does Hospital Competition Crowd-out the For-profit Quality Gap?

We examine variation in hospital quality across ownership, market concentration and membership of a hospital system. We use a measure of quality derived from the penalties imposed on hospitals under the flagship Hospital Readmission Reduction Program. We employ a novel estimation approach that extracts latent hospital quality from panel data on penalties and addresses the problem of non-penalized hospitals in short panels. Our quality measure correlates strongly across penalized conditions and with other non-incentivized quality metrics. We document a robust and sizable for-profit quality gap, which is largely crowded-out by competition between hospital chains, particularly for high-quality hospitals.

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


Virtual Essen Health Economics Seminar

Am Montag, den 04. Mai 2020, 16:00 - 17:30 Uhr, wird Noemi Kreif (University of York) ihre Forschung vorstellen:

Who benefits from public health insurance in Indonesia? A machine learning approach to estimate treatment effect heterogeneity

Researchers evaluating the effects of health policies are often interested in identifying individuals who would benefit most from a particular programme. Such analyses could provide evidence on whether a programme worked for the intended recipients, and help design the eligibility criteria of future programmes. Traditional approaches such as subgroup analyses are constrained by only considering a few, pre-specified effect modifiers, and can also be prone to cherry-picking by ad-hoc selection of subgroups. Recently proposed causal inference approaches that incorporate machine learning (ML) have the potential to help explore treatment-effect heterogeneity in a flexible yet principled way. In this talk I illustrate such an approach, Causal Forests (Athey et al. 2019), in an evaluation of the effect of public health insurance on health care utilisation of Indonesian women. I highlight the opportunities presented by the approach to identify subgroups where the impacts of having health insurance differ, and to estimate so-called conditional average treatment effects at the level of the individual. I also discuss the challenges of using this approach alongside non-randomised study designs, typical when evaluating large scale health policies.

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 27. April 2020, 16:00 - 17:30 Uhr, wird Walter D'Lima (Old Dominion University) seine Forschung vorstellen:

Opioid Crisis and Housing Market Effects

We present a novel view of housing market effects that relates the opioid crisis to house prices. With data on opioid prescriptions and analysis of repeat sales for Ohio, we find that house price changes around pharmacies are negatively associated with the quantities of opioids dispensed. The results are consistent across different measures of opioids by pharmacy location. In addition, we present a series of robustness checks to further identify the underlying channel. We show that the effect mitigates over distance and is most pronounced on properties near to opioid dispense locations. In addition, we show that the effect is more pronounced for areas that have a higher proportion of blue collar jobs that typically involve a greater propensity for opioid pain prescriptions. Overall, we link the opioid crisis and the rise in prescription opioids to housing markets.

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.