Applied Causal Analysis (with R)
Preface
1 Introduction: About this seminar/book
2 Introduction: Open-source source R
3 Introduction: Fundamental statistical concepts
4 Causal Analysis: Concepts & Definitions
5 Randomized Experiments
6 Ideal, Natural and Field experiments
7 Selection on Observables
8 Matching
9 Data over time
10 Difference-in-differences
11 Panel data
12 IV: Instrumental variables
13 RDD: Regression Discontinuity Design
References
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Applied Causal Analysis (with R)

7.10 Exercise

Please find the corresponding exercise under this link: https://paulcbauer.shinyapps.io/exercise-selection-on-observables/.