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Case Study: Endogeneity and Instrumental Variables
Real-World Statistics: Business Insights and Practical Applications with R
Preface
1
Getting Started with R, RStudio and Posit.Cloud
2
Case Study: First Look at Data Analysis
3
Data, Datasets, and Data Structure
4
Case Study: Data Preparation and Exploration
5
Introduction to Regression Analysis
6
Case Study: Simple Linear Regression
7
Model Building and Hypothesis Testing in Regression
8
Case Study: Multiple Regression Analysis
9
Dealing with Categorical Data
10
Case Study: Regression with Categorical Data
11
Exploring Non-Linear Relationships
12
Case Study: Non-Linear Regression Models
13
Multicollinearity
14
Case Study: Handling Multicollinearity
15
Omitted Variable Bias
16
Case Study: Omitted Variable Bias
17
Heteroscedasticity and Serial Correlation
18
Case Study: Addressing Heteroscedasticity and Serial Correlatio
19
Dealing with Endogeneity Bias
20
Case Study: Endogeneity and Instrumental Variables
20
Case Study: Endogeneity and Instrumental Variables
PRELIMINARY AND INCOMPLETE
Under construction by
Nick Youngson
CC BY-SA 3.0
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19
Dealing with Endogeneity Bias
