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CINCH - Health Economics Research Center

Virtual Essen Health Economics Seminar

13.10.2020

On Monday, October 19 2020, 16:00 - 17:30, Abel Brodeur (University of Ottawa) will present:

Cost-Benefit Analysis of COVID-19 Lockdowns

In this paper, we examine the cost-benefits of lockdowns in the U.S. We first document the impacts of lockdowns on labor market outcomes. Our estimates suggest that these policies increased unemployment by nearly 2.5 percentage points. We apply our estimates to compute lost income ($15.7-$26.9 billion), reduced government income tax revenues ($2.7-$4.6 billion), and increased unemployment insurance benefit payments ($20.8-$35.5 billion). We complement our analysis with estimates of COVID-19 impact from other studies on reduced COVID-19 incidence, hospitalizations, crime, air pollution and car collisions, and increased incidence of domestic violence. Our estimates suggest that it is unclear whether or not lockdowns are cost effective. We conclude with a discussion of other policies, such as mask mandates, which might be more efficient to face a COVID-19 second wave.

Room: Due to the current situation regarding the COVID-19 pandemic, the talk will be held in a virtual seminar room. For more information click here.


Virtual Essen Health Economics Seminar

07.07.2020

On Monday, July 13 2020, 16:00 - 17:30, Nikolaos Prodromidis (University of Duisburg-Essen) will present:

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.

Room: Due to the current situation regarding the COVID-19 pandemic, the talk will be held in a virtual seminar room. For more information click here.


Virtual Essen Health Economics Seminar

30.06.2020

On Monday, July 6 2020, 8:00 - 9:30, Ieva Sriubaite (Monash/CINCH) will present:

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.

Room: Due to the current situation regarding the COVID-19 pandemic, the talk will be held in a virtual seminar room. Please note that the talk will be held in the morning due to the difference in time zones. For more information click here.