Log In
Or create an account ->
Imperial Library
Home
About
News
Upload
Forum
Help
Login/SignUp
Index
Title Page
Copyright Page
Contents
List of Figures
List of Tables
Preface
Acknowledgments
Organization of This Book
I Preliminaries
1 Questions about Questions
2 The Experimental Ideal
2.1 The Selection Problem
2.2 Random Assignment Solves the Selection Problem
2.3 Regression Analysis of Experiments
II The Core
3 Making Regression Make Sense
3.1 Regression Fundamentals
3.2 Regression and Causality
3.3 Heterogeneity and Nonlinearity
3.4 Regression Details
3.5 Appendix: Derivation of the Average Derivative Weighting Function
4 Instrumental Variables in Action: Sometimes You Get What You Need
4.1 IV and Causality
4.2 Asymptotic 2SLS Inference
4.3 Two-Sample IV and Split-Sample IV
4.4 IV with Heterogeneous Potential Outcomes
4.5 Generalizing LATE
4.6 IV Details
4.7 Appendix
5 Parallel Worlds: Fixed Effects, Differences-in-Differences, and Panel Data
5.1 Individual Fixed Effects
5.2 Differences-in-Differences
5.3 Fixed Effects versus Lagged Dependent Variables
5.4 Appendix: More on Fixed Effects and Lagged Dependent Variables
III Extensions
6 Getting a Little Jumpy: Regression Discontinuity Designs
6.1 Sharp RD
6.2 Fuzzy RD Is IV
7 Quantile Regression
7.1 The Quantile Regression Model
7.2 IV Estimation of Quantile Treatment Effects
8 Nonstandard Standard Error Issues
8.1 The Bias of Robust Standard Error Estimates
8.2 Clustering and Serial Correlation in Panels
8.3 Appendix: Derivation of the Simple Moulton Factor
Last Words
Acronyms and Abbreviations
Empirical Studies Index
References
Index
← Prev
Back
Next →
← Prev
Back
Next →