"A graduate-level textbook for causal inference/causal analysis in economics/econometrics courses"--Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Martin Huber is Professor of Applied Econometrics at the University of Fribourg, Switzerland, where his research comprises both methodological and applied contributions in the fields of causal analysis and policy evaluation, machine learning, statistics, econometrics, and empirical economics.
Inhaltsangabe
1 Introduction 1 2 Causality and No Causality 11 3 Social Experiments and Linear Regression 19 4 Selection on Observables 65 5 Casual Machine Learning 137 6 Instrumental Variables 169 7 Difference-in-Differences 195 8 Synthetic Controls 219 9 Regression Discontinuity, Kink, and Bunching Designs 231 10 Partial Identification and Sensitivity Analysis 255 11 Treatment Evaluation under Interference Effects 271 12 Conclusion 285 References 287 Index 311
