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Demystifying Causal Inference

Vikram Dayal () and Anand Murugesan ()
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Vikram Dayal: Institute of Economic Growth
Anand Murugesan: Central European University

in Springer Books from Springer

Date: 2023
ISBN: 978-981-99-3905-3
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Chapters in this book:

Ch Chapter 1 John Snow and Causal Inference
Vikram Dayal and Anand Murugesan
Ch Chapter 10 Panel Data and Fixed Effects
Vikram Dayal and Anand Murugesan
Ch Chapter 11 Difference-in-Differences
Vikram Dayal and Anand Murugesan
Ch Chapter 12 Integrating and Generalizing Causal Estimates
Vikram Dayal and Anand Murugesan
Ch Chapter 2 RStudio and R
Vikram Dayal and Anand Murugesan
Ch Chapter 3 Regression and Simulation
Vikram Dayal and Anand Murugesan
Ch Chapter 4 Potential Outcomes
Vikram Dayal and Anand Murugesan
Ch Chapter 5 Causal Graphs
Vikram Dayal and Anand Murugesan
Ch Chapter 6 Experiments
Vikram Dayal and Anand Murugesan
Ch Chapter 7 Matching
Vikram Dayal and Anand Murugesan
Ch Chapter 8 Instrumental Variables
Vikram Dayal and Anand Murugesan
Ch Chapter 9 Regression Discontinuity Design
Vikram Dayal and Anand Murugesan

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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-981-99-3905-3

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DOI: 10.1007/978-981-99-3905-3

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