Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Monash University
- Erasmus University Rotterdam
- Harvard University
- Uppsala universitet
- ;
- BI Norwegian Business School
- DAAD
- Duke University
- ETH Zürich
- Edinburgh Napier University;
- Erasmus University Rotterdam (EUR)
- Ludwig-Maximilians-Universität München •
- Lunds universitet
- Technical University of Munich
- Tilburg University
- University of Liverpool
- University of Liverpool;
- Wageningen University & Research
- 8 more »
- « less
-
Field
-
primarily empirical, with a focus on applying modern micro-econometric methods to large scale datasets such as administrative data. The exact topic will be chosen in coordination between the successful
-
, including healthcare use data, and state-of-the-art econometric methods to generate causal evidence on these issues. Your work will produce insights directly relevant to labour-market policy, family services
-
economics, labour economics, economics and econometrics. We will also consider other quantitative disciplines such as data science, mathematical statistics, actuarial science or public health or psychology
-
, startup acquisition, and startup wage setting. The PhD project will be primarily empirical, with a focus on applying modern micro-econometric methods to large scale datasets such as administrative data
-
significant health and disability policy reforms. The successful candidate will undertake data-driven, policy-relevant research using advanced quantitative methods, including causal econometric analysis and
-
. The doctoral training programme offers: Core training in health economics, causal inference, micro-econometrics, health inequalities, epidemiology, and healthcare decision-making. Elective courses on data
-
labour markets shape the recruitment, retention, well-being of doctors and nurses, and how these dynamics affect access to care and population health. Using large-scale longitudinal administrative data and
-
, and how these dynamics affect access to care and population health. Using large-scale longitudinal administrative data and modern causal inference methods, the research will analyse how changes in pay
-
inference, micro-econometrics, health inequalities, epidemiology, qualitative research methods such as grounded theory, and mixed-methods approaches. Elective courses on data science, public health
-
infectious diseases, antimicrobial resistance, medical decision making and population health metrics. Interest and experience in empirical applications of economic theory, the analysis of large health data