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
⌄
Building on the lecture Mathematics for Business and Economics, this course provides an overview of essential concepts in multivariate analysis and linear algebra.
Contents:
I. Linear Algebra
1. Solving Linear Systems
2. Vectors and Linear Independence
3. Vector Spaces and Linear Spaces
4. Linear Mappings and Matrices
5. Inverse, Determinant, and Definiteness of a Matrix
II. Analysis
6. Total Derivative and Differential of a Function
7. Implicit Functions
Contents:
I. Linear Algebra
1. Solving Linear Systems
2. Vectors and Linear Independence
3. Vector Spaces and Linear Spaces
4. Linear Mappings and Matrices
5. Inverse, Determinant, and Definiteness of a Matrix
II. Analysis
6. Total Derivative and Differential of a Function
7. Implicit Functions
⌄
The course covers essential methods of inductive statistics that are used to draw conclusions from a data sample about the underlying population.
Outline:
1. Introduction
2. Probability and stochastics
3. Discrete random variables
4. Continuous random variables
5. Multivariate random variables
6. Estimation of parameters
7. Hypothesis testing
8. Regression analysis
Outline:
1. Introduction
2. Probability and stochastics
3. Discrete random variables
4. Continuous random variables
5. Multivariate random variables
6. Estimation of parameters
7. Hypothesis testing
8. Regression analysis