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CINCH - Forschungszentrum für Gesundheitsökonomik

Virtual Essen Health Economics Seminar

Am Montag, den 13. Juli 2020, 16:00 - 17:30 Uhr, wird Nikolaos Prodromidis (Universität Duisburg-Essen) seine Forschung vorstellen:

The Long Term Effects of Hospital Deliveries in Sweden

This paper analyzes the long-term effects on mortality and socio-economic outcomes from being born in a maternity ward compared to home births. We focus on two Swedish public health interventions that affected the costs of hospital deliveries and the supply of maternity wards during the 1926–46 period. Using exogenous variation from the supply of maternity wards to instrument the likelihood of giving birth in an institution, we find that giving birth in a maternity ward has substantial effects on later-life outcomes such as educational attainment and mortality. We argue that a decrease in child morbidity from better treatment in the case of complications could be a likely explanation for the large gains from being born in a hospital.

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 6. Juli 2020, 8:00 - 9:30 Uhr, wird Ieva Sriubaite (Monash/CINCH) ihre Forschung vorstellen:

Economic Consequences of the Road Traffic Injury. Application of the Super Learner Algorithm

This paper employs methods of supervised machine learning to construct a risk adjustment tool for a set of outcomes that describes the economic consequences of the road-traffic injury. We focus on the prediction of healthcare costs and benefits from medical care in terms of both productivity as well personal well-being (the quality of life). Using the Victorian State Trauma Registry, we select all patients who experienced a major trauma in a road-traffic related accident in Victoria. To tackle statistically challenging empirical distributions we set up an ensemble machine learning algorithm - the Super Learner algorithm that is based on several parametric and non-parametric algorithms including regularized regressions, decision trees and random forests. Our findings demonstrate that the Super Learner is effective and performs best in predicting all outcomes considered in this paper.

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 29. Juni 2020, 16:00 - 17:30 Uhr, wird Analisa Packham (Vanderbilt) ihre Forschung vorstellen:

Dying to Work: Effects of Unemployment Insurance on Health

Using administrative data for the universe of Upper Austrian workers, we show that an extension in unemployment insurance (UI) duration increases unemployment length and impacts worker physical and mental health. These effects vary by gender. Specifically, we find that women eligible for an additional 9 weeks of UI benefits fill fewer opioid and antidepressant prescriptions and experience a lower likelihood of filing a disability claim, as compared to non-eligible unemployed women. These effects generate positive within-household spillovers for young children. For men, we find that extending UI benefit duration increases the likelihood of a cardiac event and eventual disability retirement filing.

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.