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A Guide on Data Analysis
Preface
- How to cite this book
- More books
1 Introduction
- 1.1 General Recommendations
2 Prerequisites
I. BASIC
3 Descriptive Statistics
4 Basic Statistical Inference
II. REGRESSION
5 Linear Regression
6 Non-Linear Regression
7 Generalized Linear Models
8 Linear Mixed Models
9 Nonlinear and Generalized Linear Mixed Models
10 Nonparametric Regression
III. RAMIFICATIONS
11 Data
12 Variable Transformation
- 12.1 Continuous Variables
- 12.2 Categorical Variables
13 Imputation (Missing Data)
14 Model Specification Tests
15 Variable Selection
16 Hypothesis Testing
17 Marginal Effects
18 Moderation
19 Mediation
- 19.1 Traditional Approach
- 19.2 Causal Inference Approach to Mediation
  - 19.2.1 Example: Traditional Mediation Analysis
  - 19.2.2 Two Approaches in Causal Mediation Analysis
20 Prediction and Estimation
IV. CAUSAL INFERENCE
21 Causal Inference
A. EXPERIMENTAL DESIGN
22 Experimental Design
23 Sampling
24 Analysis of Variance
25 Multivariate Methods
B. QUASI-EXPERIMENTAL DESIGN
26 Quasi-Experimental Methods
27 Regression Discontinuity
28 Synthetic Difference-in-Differences
- 28.1 Understanding
- 28.2 Application
  - 28.2.1 Block Treatment
  - 28.2.2 Staggered Adoption
29 Difference-in-differences
30 Changes-in-Changes
- 30.1 Application
  - 30.1.1 ECIC package
  - 30.1.2 QTE package
31 Synthetic Control
32 Event Studies
33 Instrumental Variables
34 Matching Methods
- 34.1 Selection on Observables
- 34.2 Selection on Unobservables
35 Interrupted Time Series
- 35.1 Autocorrelation
- 35.2 Multiple Groups
C. OTHER CONCERNS
36 Endogeneity
37 Other Biases
38 Controls
39 Directed Acyclic Graph
- 39.1 Basic Notations
V. MISCELLANEOUS
40 Report
41 Exploratory Data Analysis
42 Sensitivity Analysis/ Robustness Check
43 Replication and Synthetic Data
APPENDIX
A Appendix
B Bookdown cheat sheet
References
Published with bookdown

A Guide on Data Analysis

27.11 Multi-cutoff

$\tau (x,c)= E[Y_{1i} - Y_{0i}|X_i = x, C_i = c]$