_{Casual inference}

<sub>What a research design can identify, what survives when the standard assumptions are weakened, and how an intervention should be allocated once capacity binds.

25 publications · 3 grants · 8 members</sub>

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_{Machine learning}

_{Turning archival sources into research data, and using machine learning at the points in an analysis where economic reasoning still does the work.}

_{7 publications · 2 grants · 3 members}

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_{Health economics}

_{Healthcare systems, public health interventions, and the economic consequences of health policy in the short and long term and across generations.}

_{47 publications · 16 grants · 7 members}

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_Teaching

_{The quantitative sequence at SDU, and invited PhD courses in econometrics and causal inference else where in Europe.} 

_{1 grant · 9 members}

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_{Develops methods for identifying and estimating causal effects, much of it on instrumental variables, and applies them in empirical labour and health economics.}

_{CAUSAL INFERENCE · HEALTH ECONOMICS}

_{Works on economic geography, agglomeration and long-run growth, and on spatial econometric methods for historical data.}

_{CAUSAL INFERENCE}

_{Christian Møller Dahl
Machine Learning · Digitisation of Historical Sources · Time Series Econometrics
SDU Profile · cmd@sam.sdu.dk}

_{Applies machine learning to digitised historical records, and works on time series econometrics, quantile regression and causal inference.}

_{CAUSAL INFERENCE · MACHINE LEARNING · HEALTH ECONOMICS}

_{Jørgen T. Lauridsen
Health Econometrics · Spatial Econometrics · Health Inequality
SDU Profile · Jtl@sam.sdu.dk}

_{Works on health econometrics and spatial econometrics, studying social and geographic inequality in health and health-care use.}

_{CAUSAL INFERENCE · HEALTH ECONOMICS}

_{Christian Kronborg
Health Economics · Economic Evaluation · Health Policy
SDU Profile · cka@sam.sdu.dk}

_{Costs the interventions that clinical trials test, in cardiology, psychiatry and public health.}

_{HEALTH ECONOMICS}

_{Volha Lazuka
Health Economics · Labour Economics · Long-Run Policy Effects
SDU Profile · vola@sam.sdu.dk}

_{Studies the long-run effects of health and social policies on health, earnings and mortality across the life course.}

_{CAUSAL INFERENCE · HEALTH ECONOMICS}

_{Seetha Menon
Health Economics · Labour Economics · Genderand Inequality
SDU Profile · smr@sam.sdu.dk}

_{Studies how health shocks, job insecurity and domestic violence affect health, with a focus on gender differences.}

_{CAUSAL INFERENCE · HEALTH ECONOMICS}

_{Torben Skov Dyg Johansen
Machine Learning · Causal Inference · Policy Learning
SDU Profile · tsdj@sam.sdu.dk}

_{Works on machine learning for digitising historical records and on causal methods for allocating an intervention when capacity is limited.}

_{CAUSAL INFERENCE · MACHINE LEARNING · HEALTHECONOMICS} 

_{Riccardo Di Francesco
Econometrics · Causal Inference · Causal Machine Learning
SDU Profile · rdif@sam.sdu.dk}

_{Develops machine learning methods for estimating and interpreting heterogeneous causal effects, with applied work on worker health.}

_{CAUSAL INFERENCE · MACHINE LEARNING}

<sub>Long-term Social Change through Normalization Reforms Targeting People with Disabilities and their Peers

Studies the closure of institutions for people with intellectual and developmental disabilities in Denmark and Sweden between the 1980s and the 2000s, and their move into housing in ordinary neighbourhoods. It estimates what followed for the people concerned, for their families and for the neighbours who became their peers.</sub>

<sub>Beyond the Paycheck: Insights into the Effect of Unemployment, Organisational Change, and Job Security on Mental Health

Treats unemployment, organisational restructuring and job insecurity as causes of poor mental health rather than consequences of it, using Danish employment legislation as the source of variation. Mental health out comes are measured in register data for the affected workers.</sub>