Solution Manuals For Real Econometrics The Right Tools to Answer Important Questions Second Edition Michael Bailey

Table of Contents

 

List of Figures

List of Tables

Useful Commands for Stata

Useful Commands for R

Preface for Students: How This Book Can Help You Learn Econometrics

Preface for Instructors: How to Help Your Students Learn Econometrics

Acknowledgments

 

1 The Quest for Causality

The Core Model

Two Challenges: Randomness and Endogeneity

CASE STUDY: Flu Shots

CASE STUDY: Country Music and Suicides

Randomized Experiments as the Gold Standard

 

2 Stats in the Wild: Good Data Practices

2.1 Know Our Data

2.2 Replication

CASE STUDY: Violent Crime in the United States

2.3 Statistical Software

 

I The OLS FRAMEWORK

3 Bivariate OLS: The Foundation of Econometric Analysis

3.1 Bivariate Regression Model

3.2 Random Variation in Coefficient Estimates

3.3 Exogeneity and Unbiasedness

3.4 Precision of Estimates

3.5 Probability Limits and Consistency

3.6 Solvable Problems: Heteroscedasticity and Correlated Errors

3.7 Goodness of Fit

CASE STUDY: Height and Wages

3.8 Outliers

 

4 Hypothesis Testing and Interval Estimation: Answering Research Questions

4.1 Hypothesis Testing

4.2 t Tests

4.3 p Values

4.4 Power

4.5 Straight Talk about Hypothesis Testing

4.6 Confidence Intervals

 

5 Multivariate OLS: Where the Action Is

5.1 Using Multivariate OLS to Fight Endogeneity

5.2 Omitted Variable Bias

CASE STUDY: Does Education Support Economic Growth?

5.3 Measurement Error

5.4 Precision and Goodness of Fit

CASE STUDY: Institutions and Human Rights

5.5

 

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