- Understand how appropriate data can be determined and found to causally analyze economic questions
- Independently develop research designs for causal analysis
- Understand how research designs can be used to estimate causal effects with appropriate data
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- Random experiments, variables, probability functions, descriptive statistics, expected value and variance, testing
- Data requirements, data structures, data collection methods, measurement error and missing data
- Bivariate OLS estimation, multivariate regression models with binary variables, non-linear relationships, logarithmized variables, and interaction terms; endogeneity
- Potential outcomes framework and randomized control trials
- Directed acyclical graphs, confounders and colliders
- Natural experiments, event studies, difference-in-difference designs, instrumental variables, regression discontinuity designs
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