Jonas Dix
Werdegang
AUSBILDUNG
2023 – heute: Wissenschaftlicher Mitarbeiter und Doktorand am Institut für Volkswirtschaftslehre (Leuphana Universität Lüneburg, Deutschland)
2020 – 2023: M. Sc. in Public Economics (Freie Universität Berlin, Deutschland)
- Masterarbeit: „Ethnic Discrimination in Access to Health Care Services: A Field Experiment“
- Wissenschaftliche Hilfskraft am Wissenschaftszentrum Berlin für Sozialforschung (WZB) in den Forschungsprojekten „Social inequality and disparities in political participation: Is ill health a missing link?“ und „Social and ethnic inequalities in access to healthcare: a field experiment“
2017 – 2020: B. Sc. in Volkswirtschaftslehre (Leuphana Universität Lüneburg, Deutschland)
- Landesstipendium Niedersachsen
- Bachelorarbeit: „A field experiment on ethnic discrimination in the Berlin rental market“
- Studentische Hilfskraft am Institut für Volkswirtschaftslehre
BERUFSERFAHRUNG
2022: Bundesministerium für Wirtschaft und Klimaschutz (Berlin, Deutschland)
- Praktikant in der Abteilung VI: Digital- und Innovationspolitik
2016 – 2017: Freiwilliges Soziales Jahr (Malawi)
Lehrveranstaltungen
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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