| Binary Regression 1 |
Linear Probability Modell Logit/ Probit Regression, Concept of Odds, Conditional Effects Plots, Wald test, Inference |
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| Descriptive Statistics 1 |
Dataset Overview, Tables, Bar Chart, Mosaic Plot, Summary Statistics, Histogram, Boxplot |
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| Difference-in-Differences (DiD) |
Data Cleaning, Theory, Visualization, Estimation, Panel Data |
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| Linear Regression 1 |
Gauss-Markov-Assumptions, Simple/Multiple Linear Regression, Interpretation of Regression Output, Inference |
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| Linear Regression 2 |
Transformation, Dummy/Categorical Variables, Interactions, Inverse, Polynome, Step-Funktionen, Regression Splines |
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| Linear Regression 3 |
Unusual and Influential Data, Normality and Homoskedasticity of Residuals, Linearity, Multicollinearity and Model Specifications |
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| Panel Data Analysis 1 |
Pooled OLS, FE, RE, Time Dimension, Serial Correlation, Cluster-robust Standard Errors |
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| Regression Discontinuity Design |
Theory, Same/Different Slopes, Functional Form, Sensitivity |
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| Statistical Inference 1 |
Hypothesis testing, t-tests, ANOVA, MANOVA |
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