Postdoctoral Researcher in Econometrics and Causal Inference

Make it in the North; Groningen; Hybrid; EUR 42,000 - 60,000; Full time

Job summary

The position is a three-year postdoctoral position in the Department of Economics, Econometrics and Finance, funded by the Dutch Research Council (NWO) project Evaluation of Policy Interventions on Societal Inequality. You are expected to have a PhD in economics or related quantitative fields, with a strong background in econometrics and causal inference, and an interest in methodological econometric research.

Experience with machine-learning methods and strong programming skills are essential.

Qualifications

• PhD in economics, econometrics, statistics, or a related quantitative field.
• Strong background in econometrics and causal inference.
• Interest in methodological econometric research with publications in the field.
• Experience with, or strong interest in, machine-learning methods.
• Strong programming skills.
• Good communication and presentation skills; ability to work in an international research team.

Responsibilities

• Develop and apply new econometric methods to evaluate distributional effects of policy interventions.
• Work with distribution regression and difference-in-differences methods.
• Incorporate machine-learning approaches with valid statistical inference.
• Collaborate with Prof. Aico van Vuuren, Prof. Gerard J. van den Berg and international team.
• Contribute to research on socioeconomic inequalities, including health over the life course.

Skills

Econometrics

Causal inference

Programming

Machine learning

Communication skills

International collaboration

Education

PhD in economics or related quantitative field

Job description

The position is a three-year postdoctoral position at the Department of Economics, Econometrics and Finance, funded by the Dutch Research Council (NWO) project Evaluation of Policy Interventions on Societal Inequality.

You are someone with:

• A PhD in economics, econometrics, statistics, or a related quantitative field.
• A strong background in econometrics and causal inference.
• An interest in methodological econometric research, as evidenced by research papers in this field.
• Experience with, or a strong interest in, machine-learning methods.
• Strong programming skills.
• Good communication and presentation skills and the ability to work in an international research team.

Experience with distribution regression, difference-in-differences methods, high-dimensional econometrics, or empirical health applications is an advantage.

The project develops new econometric methods to evaluate the distributional effects of policy interventions, building on distribution regression and difference-in-differences methods, with particular attention to machine-learning methods and valid statistical inference. The postdoctoral researcher will also apply these methods to study socioeconomic inequalities, including inequalities in health over the life course. The research will be carried out in close collaboration with Prof. Aico van Vuuren and Prof. Gerard J. van den Berg at the University of Groningen, as well as with other members of the international research team.

The postdoctoral researcher will be embedded in the Econometrics group. Research in the group combines methodological developments in econometrics with empirical applications, including causal inference, distributional methods, labour and health economics, and policy evaluation.