Causal Deep Learning

Deep Learning combined with Causal Inference.

16.3) False Positives (Type I Error): Bonferroni Correction for Cherry Picking
16.3) False Positives (Type I Error): Bonferroni Correction for Cherry Picking
15.8) OLS vs Fixed vs Random Effects
15.8) OLS vs Fixed vs Random Effects
14.6) Introduction to Difference-in-Differences (DiD)
14.6) Introduction to Difference-in-Differences (DiD)
14.5) Common Trend Assumption in Difference-in-Difference (DD) Estimator
14.5) Common Trend Assumption in Difference-in-Difference (DD) Estimator
15.7) Time Trend vs Time Fixed Effects
15.7) Time Trend vs Time Fixed Effects
13.8) Fuzzy RD vs Naive OLS
13.8) Fuzzy RD vs Naive OLS
12.5) Introduction to Instrumental Variables (IV)
12.5) Introduction to Instrumental Variables (IV)
13.7) The Best Book to Learn Regression Discontinuity (RD)
13.7) The Best Book to Learn Regression Discontinuity (RD)
6.20) What is the difference between an Economist, Econometrician, and Mathematician?
6.20) What is the difference between an Economist, Econometrician, and Mathematician?
16.2) Matriarchal vs Patriarchal Society
16.2) Matriarchal vs Patriarchal Society
16.1) Are Optical Illusions Universal?
16.1) Are Optical Illusions Universal?
6.19) Book Review: Using Python for Introductory Econometrics
6.19) Book Review: Using Python for Introductory Econometrics
6.18) Book Review: Regression Analysis: A Practical Introduction
6.18) Book Review: Regression Analysis: A Practical Introduction
6.17) Book Review Essentials of Applied Econometrics
6.17) Book Review Essentials of Applied Econometrics
6.16) Stata vs Python
6.16) Stata vs Python
15.6) Python: Fixed and Random Effects
15.6) Python: Fixed and Random Effects
15.5) Random Effects as Weighted Average of OLS and FE
15.5) Random Effects as Weighted Average of OLS and FE
15.4) Covariance Matrix: Random Effects (RE)
15.4) Covariance Matrix: Random Effects (RE)
15.3) Random Effects (RE) is Generalized Least Squares (GLS)
15.3) Random Effects (RE) is Generalized Least Squares (GLS)
15.2) Random Effects (RE) vs Fixed Effects (FE)
15.2) Random Effects (RE) vs Fixed Effects (FE)
15.1) Fixed Effects (FE): Time-Demeaned
15.1) Fixed Effects (FE): Time-Demeaned
14.4) Quasi-Experiment Diff-in-Diff (DID)
14.4) Quasi-Experiment Diff-in-Diff (DID)
14.3) Python: Diff-in-Diff (DD)
14.3) Python: Diff-in-Diff (DD)
14.2) Algebra of Difference-in-Differences (DID)
14.2) Algebra of Difference-in-Differences (DID)
14.1) First-Difference Estimator
14.1) First-Difference Estimator
13.6) Python: Fuzzy RD
13.6) Python: Fuzzy RD
13.5) Fuzzy vs Sharp RD
13.5) Fuzzy vs Sharp RD
13.4) Fuzzy Regression Discontinuity (FRD)
13.4) Fuzzy Regression Discontinuity (FRD)
13.3) Regression Discontinuity (RD)
13.3) Regression Discontinuity (RD)
13.2) Regression Discontinuity in Python
13.2) Regression Discontinuity in Python