Effect

Effect

An Introduction to Research Design and Causality

Huntington-Klein, Nick

Taylor & Francis Ltd

12/2021

646

Dura

Inglês

9781032127453

15 a 20 dias

250

Descrição não disponível.
Chapter 1 Designing Research Chapter 2 Research Questions Chapter 3 Describing Variables Chapter 4 Describing Relationships Chapter 5 Identification Chapter 6 Causal Diagrams Chapter 7 Drawing Causal Diagrams Chapter 8 Causal Paths and Closing Back Doors Chapter 9 Finding Front Doors Chapter 10 Treatment Effects Chapter 11 Causality with Less Modeling Chapter 12 Opening the Toolbox Chapter 13 Regression Chapter 14 Matching Chapter 15 Simulation Chapter 16 Fixed Effects Chapter 17 Event Studies Chapter 18 Difference-in-Differences Chapter 19 Instrumental Variables Chapter 20 Regression Discontinuity Chapter 21 A Gallery of Rogues: Other Methods Chapter 22 Under the Rug
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research design;causal inference;R, Stat, Python;graphical intuition;Back Doors;Data Generating Process;Causal Diagram;Local Average Treatment Effect;Bootstrap Standard Errors;Standard Error Adjustment;Placebo Test;Inverse Probability Weighting;Untreated Group;Treatment Effect Heterogeneity;Theoretical Distribution;Data Set;Treatment Effect;Sampling Distribution;Parallel Trends Assumption;Regression Model;Fuzzy Regression Discontinuity;Can;Standard Errors;Heteroskedasticity Robust Standard Errors;Regression Discontinuity;Matching Variables;Propensity Score;Fixed Effects;Instrumental Variables Design