2024最新_高级计量&因果推断教材软件汇总
1、《效应：研究设计与因果性概论》
Huntington-Klein N. The effect: an introduction to research design and causality[M]. Boca Raton, FL:CRC Press, 2022.
The Effect: An Introduction to Research Design and Causality | The Effect (theeffectbook.net)
配套的代码资源：
NickCH-K/causaldata: Packages of Example Data for The Effect (github.com)
2、《因果推断：锦盒》
Cunningham S. Causal Inference: The Mixtape[M]. Yale University Press, 2021. （可以参看外文出版商的书籍网页）
Causal Inference: The Mixtape
Author: Scott Cunningham (Baylor University)
Year: 2021
Mixtape | Scott Cunningham (scunning.com)
可参看配套“Causal Inference: The Mixtape”(Cunningham, 2021)的在线资源
scunning1975/mixtape: Data and Program files for Causal Inference: The Mixtape (github.com)
因果推断
斯科特·坎宁安（Scott Cunningham） 著 中国人民大学出版社
3、《反事实和因果推断》
Morgan S L, Winship C. Counterfactuals and causal inference: methods and principles for social research[M]. 第2nd版. New York, NY: Cambridge University Press, 2014
Counterfactuals and Causal Inference
Author: Stephen L. Morgan (Johns Hopkins University), Christopher Winship (Harvard University)
Year: 2014
4、《影响评估、处置效应及因果分析》
Frohlich M, Sperlich S. Impact evaluation, treatment effects and causal analysis[M]. New York: Cambridge University Press, 2019
Impact Evaluation: Treatment Effects and Causal Analysi
Author: Markus Frölich, Stefan Sperlich Year: 2019
5、《匹配、断点回归、双重差分及其扩展》
Lee M. Matching, regression discontinuity, difference in differences, and beyond[M]. New York: Oxford University Press, 2016
6、《精通"测度"：原因-效果路径》
Angrist J D, Pischke J-S. Mastering ’Metrics: The Path from Cause to Effect[M]. Princeton, Oxford: Princeton University Press, 2015
7、《影响评估实践应用》
Gertler P, Martinez Wilde S, Premand P, Rawlings L, Vermeersch C. Inter American Development Bank. Impact evaluation in practice[M]. 第2nd版. Washington, DC: World Bank Group, 2016.
evalsp20.classes.andrewheiss.com
9、在线资源：DID相关
DID的资源汇集
Difference-in-Difference (DiD) | DiD (asjadnaqvi.github.io)
《计量经济学及Stata应用》第 2 版
作者：陈强(编著) 高等教育出版社, 2023年12月, 495页
因果推断入门
作者:保罗·R.罗森鲍姆(PAULR.ROSENBAUM) 出版时间:2023-09-21
因果推断初步 微观计量经济学导论
清华大学出版社 作者：姚东旻
因果推断与效应评估的计量经济学
北京大学出版社 出版时间:2023-09-01
Causal Inference for the Brave and True
Author: Matheus Facure (Nubank) Year: regularly updated Causal Inference: The Mixtape
Author: Scott Cunningham (Baylor University) Year: 2021
The Effect
Author: Nick C. Huntington-Klein (Seattle University) [YouTube] Year: 2021
Causal Inference: What If
Author: Miguel Hernan (Harvard University) Year: 2020
Causal Inference in Python
Author: Matheus Facure Year: 2023
Causal Analysis
Author: Martin Huber (University of Fribourg) Year: 2023
Causal Inference and Discovery in Python
Author: Aleksander Molak Year: 2023
Quasi-Experimentation: A Guide to Design and Analysis
Author: Charles S. Reichardt Year: 2019
Impact Evaluation: Treatment Effects and Causal Analysis
Author: Markus Frölich, Stefan Sperlich Year: 2019
Handbook of Graphical Models
Author: Marloes Maathuis, Mathias Drton, Steffen Lauritzen, Martin Wainwright Year: 2019
The Book of Why
Author: D. Mackenzie, J. Pearl Year: 2018
Targeted Learning in Data Science - Causal Inference for Complex Longitudinal Studies
Author: Mark J. van der Laan, Sherri Rose Year: 2018
Elements of Causal Inference: Foundations and Learning Algorithms
Author: Jonas Peters, Dominik Janzing, Bernhard Schölkopf Year: 2017
Statistical Causal Inferences and Their Applications in Public Health Research
Author: multiple Year: 2016
Causal Inference in Statistics: A Primer
Author: Judea Pearl, Madelyn Glymour, Nicholas P. Jewell Year: 2016
Causal Inference for Statistics, Social, and Biomedical Sciences
Author: Guido W. Imbens (Stanford University), Donald B. Rubin (Harvard University) Year: 2015
Counterfactuals and Causal Inference
Author: Stephen L. Morgan (Johns Hopkins University), Christopher Winship (Harvard University) Year: 2014
Statistical Methods for Dynamic Treatment Regimes
Author: Bibhas Chakraborty (Columbia University), Erica E.M. Moodie (McGill University) Year: 2013
Handbook of Causal Analysis for Social Research
Author: Stephen L. Morgan (Johns Hopkins University) Year: 2013
Targeted Learning - Causal Inference for Observational and Experimental Data
Author: Mark J. van der Laan, Sherri Rose Year: 2011
Design of Observational Studies
Author: Paul R. Rosenbaum Year: 2010
Mostly Harmless Econometrics: An Empiricist's Companion
Author: Joshua D. Angrist, Jörn-Steffen Pischke Year: 2009
Causality
Author: Judea Pearl (University of California, Los Angeles) Year: 2009
Unified Methods for Censored Longitudinal Data and Causality
Authors: Mark J. van der Laan, James M. Robins Year: 2003
