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CINCH - Health Economics Research Center

Virtual Essen Health Economics Seminar

28.04.2020

On Monday, May 4 2020, 16:00 - 17:30, Noemi Kreif (University of York) will present:

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.

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

21.04.2020

On Monday, April 27 2020, 16:00 - 17:30, Walter D'Lima (Old Dominion University) will present:

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.

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

03.04.2020

On Monday, April 20 2020, 16:00 - 17:30, Daniel Kühnle (University of Duisburg-Essen) will present:

Making it home? Evidence on the long-run impact of an intensive support program for the chronically homeless

We examine the long-run outcomes for a new housing-led, intensive support program for chronically homeless individuals, the Journey to Social Inclusion (J2SI). Evaluating the three-year program using a randomised controlled trial over a six-year period, we document that the treated group achieved substantially higher rates of housing throughout and slightly better employment outcomes during the trial. We find no other systematic improvements with respect to health and other non-housing outcomes during the trial. Importantly, three years after program end, we observe no differences between the treatment and control group with respect to any outcomes. Thus, even a three-year intensive intervention program does not produce better long-run outcomes than treatment-as-usual.

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.