Jonas Dix
Vita
EDUCATION
2023 – present: Research Associate and PhD Candidate (Institute of Economics, Leuphana University Lueneburg, Germany)
2020 – 2023: M. Sc. in Public Economics (Free University of Berlin, Germany)
- Master’s thesis: „Ethnic Discrimination in Access to Health Care Services: A Field Experiment“
- Research assistant at WZB Berlin Social Science Center in the research projects: „Social inequality and disparities in political participation: Is ill health a missing link?“ and „Social and ethnic inequalities in access to healthcare: a field experiment“
2017 – 2020: B. Sc. in Economics (Leuphana University Lueneburg, Germany)
- Bachelor’s thesis: „A field experiment on ethnic discrimination in the Berlin rental market“
- Scholarship awarded by the Federal State of Lower Saxony
- Student assistant at the Institute of Economics
WORK EXPERIENCE
2022: Federal Ministry for Economic Affairs and Climate Action (Berlin, Germany)
- Intern, Department VI: Digital and Innovation Policy
2016 – 2017: Voluntary Social Year (Malawi)
Courses
Compare lecture
This course provides an overview of the statistical methods that are required for quantitative analyses in economics and political science. It introduces the essential tools that permit estimating causal effects (rather than mere correlations) from observational data.
Contents:
1. Review of linear regression
2. Decomposition methods for linear regression
3. Instrumental variables regression
4. Linear regression with panel data
5. Differences-in-differences estimation
6. Regression for categorical outcomes
Contents:
1. Review of linear regression
2. Decomposition methods for linear regression
3. Instrumental variables regression
4. Linear regression with panel data
5. Differences-in-differences estimation
6. Regression for categorical outcomes
This course covers essential methods of descriptive and explorative statistics that are used to summarise data and reveal patterns in these.
Contents:
1. Introduction
2. Univariate descriptive statistics
3. Multivariate descriptive statistics
4. Outlook on inductive statistics
Contents:
1. Introduction
2. Univariate descriptive statistics
3. Multivariate descriptive statistics
4. Outlook on inductive statistics