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29_Project
29_Project
 
 
.gitignore
.gitignore
 
 
01_correlation_vs_causation.ipynb
01_correlation_vs_causation.ipynb
 
 
02_two_languages_of_causal_inference.ipynb
02_two_languages_of_causal_inference.ipynb
 
 
03_interrupted_time_series.ipynb
03_interrupted_time_series.ipynb
 
 
04_ITS_exercise.ipynb
04_ITS_exercise.ipynb
 
 
05_Difference_in_Differences.ipynb
05_Difference_in_Differences.ipynb
 
 
06_DID_exercise.ipynb
06_DID_exercise.ipynb
 
 
07_Pre-event_validation_and_testing.ipynb
07_Pre-event_validation_and_testing.ipynb
 
 
08_test-did-assumptions.ipynb
08_test-did-assumptions.ipynb
 
 
09_placebo_test.ipynb
09_placebo_test.ipynb
 
 
10_placebo-test-diff-in-diff.ipynb
10_placebo-test-diff-in-diff.ipynb
 
 
11_event_studies.ipynb
11_event_studies.ipynb
 
 
12_event_studies_exercise.ipynb
12_event_studies_exercise.ipynb
 
 
13_Modeling Time-Varying Effects.ipynb
13_Modeling Time-Varying Effects.ipynb
 
 
14_Event_Study_model_validation.ipynb
14_Event_Study_model_validation.ipynb
 
 
15_event-study-lead-lag-coefficients_exercise.ipynb
15_event-study-lead-lag-coefficients_exercise.ipynb
 
 
16_Event_Study_with_Staggered_Rollout.ipynb
16_Event_Study_with_Staggered_Rollout.ipynb
 
 
17_staggered-rollout-dividends_exercise.ipynb
17_staggered-rollout-dividends_exercise.ipynb
 
 
18_Synthetic_Control_with_Lasso.ipynb
18_Synthetic_Control_with_Lasso.ipynb
 
 
19_exercise_estimate_lasso_synthetic_control.ipynb
19_exercise_estimate_lasso_synthetic_control.ipynb
 
 
20_model_validation_with_simulated_data.ipynb
20_model_validation_with_simulated_data.ipynb
 
 
21_exercise_compare_synthetic_control_other_models.ipynb
21_exercise_compare_synthetic_control_other_models.ipynb
 
 
22_Bayesian_Structural_Time_Series_CausalImpact_in_R.ipynb
22_Bayesian_Structural_Time_Series_CausalImpact_in_R.ipynb
 
 
23_Regression_Discontinuity.ipynb
23_Regression_Discontinuity.ipynb
 
 
24_Exercise_estimate-regression-discontinuity.ipynb
24_Exercise_estimate-regression-discontinuity.ipynb
 
 
25_RD_Model_Validation_and_Sensitivity_of_Bandwidth.ipynb
25_RD_Model_Validation_and_Sensitivity_of_Bandwidth.ipynb
 
 
26_validate-regression-discontinuity.ipynb
26_validate-regression-discontinuity.ipynb
 
 
27_Communicating_Non-Experimental_Causal_Results.ipynb
27_Communicating_Non-Experimental_Causal_Results.ipynb
 
 
28_Exercise_Presenting Results to Stakeholders.pdf
28_Exercise_Presenting Results to Stakeholders.pdf
 
 
README.md
README.md
 
 

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Causal Inference

This repository is notes from the Udacity Course Causal Inference, conducted by Jonathan Hershaff. The original notebooks from this class is also available here on github.

  1. Correlation vs Causation
  2. Two Languages of Causality: DAG and Potential Outcomes Framework
  3. Interrupted Time Series
  4. Interrupted Time Series Exercise
  5. Difference in Differences (DiD)
  6. DiD exercise

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casual inference where experiemnt is not available

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