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近年来，在微观计量领域，因果识别策略已经占据了主流，传统的方法始终难以解决关于内生性问题的难题。计量经济圈的核心优势就是因果识别，传统的宏观领域的多方程关系研究也在吸收因果识别策略。在不久的将来，因果识别领域会有几位先锋者得到诺贝尔经济学奖。如果你对这些前沿技术也感兴趣，那可以加入咱们大社群一起切磋交流学习(见文末)。

Confounding in CausalInference

Wei Pan

Causality andModern Science: Third Revised Edition

Mario Bunge

An Introductionto Causal Inference

Judea Pearl

Causality:Statistical Perspectives and Applications

 Carlo Berzuini

Probability: For the Enthusiastic Beginner 

David Morin

Mastering 'Metrics: The Path from Causeto Effect 

- Joshua David Angrist 

Counterfactuals and Causal Inference:Methods and… -

Stephen L. Morgan 

Causal Inference in Statistics: A Primer

Judea Pearl

Causality

Judea Pearl

Causal Inference for Statistics, Social, and Biome… 

- Guido W. Imbens 

Confounding in Causal Inference

2010-04

Wei Pan

CausalInferences and Abductive Reasoning

2009-03

Chong Ho Yu

Causal Inferencein Econometrics

2016-01

Van-Nam Huynh、 Vladik Kreinovich

StatisticalCausal Inferences and Their Applications in Public Health Research

2016-11

Hua He、 Pan Wu

TargetedLearning: Causal Inference for Observational and Experimental Data

2013-08

Mark J. van derLaan、 Sherri Rose

The SAGEHandbook of Regression Analysis and Causal Inference

2014-10

Henning Best、 Christof Wolf

StatisticalModels and Causal Inference: A Dialogue with the Social Sciences

2009-11

David A.Freedman、 David Collier

Applied BayesianModeling and Causal Inference from Incomplete-Data Perspectives

2004-09

Andrew Gelman、 Xiao-Li Meng

Case Studies andCausal Inference: An Integrative Framework

2012-09

I. Rohlfing

The Role ofCausal Models in Inductive Inference Based on Categories

2011-09

Xinzhi Chen、 Hee Seung Lee

Making itFormally Explicit: Probability, Causality and Indeterminism

2017-05

GáborHofer-Szabó、 Leszek Wroński

Causality:Philosophical Theory meets Scientific Practice

2014-10

Phyllis Illari、 Federica Russo

Causality

2013-06

Frederic PMiller、 Vandome Agnes F

Causality

2015-08

Guanglei Hong

Causality:Objectives and Assessment: Challenges in Machine Learning, Volume 4

2012-11

Isabelle Guyon、 Dominik Janzing

Causality, Or,the Philosophy of Law Investigated

2016-05

George Jamieson

Financial Crisesand Earnings Management Behavior: Arguments and Evidence Against Causality

2017-09

Bruno Maria Franceschetti

Evidence,Decision and Causality

2017-02

Arif Ahmed

Causality,Meaningful Complexity and Embodied Cognition

2012-05

A. Carsetti

Causality, Correlationand Artificial Intelligence for Rational Decision Making

2015-02

TshilidziMarwala

Causality inSociological Research

2011-09

Jakub Karpinski

Causality andProbability in the Sciences: v. 5

2007-01

Dr. FedericaRusso、 Jon Williamson

Time SeriesModels, Causality and Exogeneity

1997-06

Omar F. Hamouda、 J. C. R. Rowley

Stochastic Causality

2001-12

Maria CarlaGalavotti、 Patrick Suppes

Causality andCausal Modelling in the Social Sciences: Measuring Variations

2008-10

Federica Russo

BayesianNetworks and GIS Techniques for Modelling Land Degradation

2009-08

Oumer Ahmed

Causality in Macroeconomics

2001-08

Kevin D. Hoover

Mechanism and Causalityin Biology and Economics

Space, Time andCausality: An Essay in Natural Philosophy

1985-03

J. R. Lucas

ComplexSocio-Technical Systems: Understanding and Influencing the Causality of Change

2012-07

W. B. Rouse、K.R. Boff、 P. Sanderson

Causality; thePlace of the Causal Principle in Modern Science

1959

by MarioAugusto Bunge

Uncertainty andcausality in practical inference

1981

by Hillel JEinhorn

Causal Inference and ScientificParadigms in Epidemiology

https://books.google.com/books?isbn=1608051811 -

Steven S. Coughlin - 2010 - 

Causal inference

https://books.google.com/books?isbn=0917227034 -

K. J. Rothman -1988 -

Causal inference for multi-levelobservational data with application ...

https://books.google.com/books?id=DPkdAQAAMAAJ -

Guanglei Hong - 2004 -

Case Studies and Causal Inference: AnIntegrative Framework

https://books.google.com/books?isbn=1137271329 - 

I. Rohlfing - 2012 - ‎

This frameworkis applied to research design tasks such as case selection and process tracing.The book presents the basics, state-of-the-art and arguments for improving thecase study method and empirical small-n research.

From Predictive to Causal Inference: TheUse of Multivariate ...

https://books.google.com/books?id=PjN0rgEACAAJ - 

2014 - ‎

The time seriesof covariance that multivariate GARCH models generate, however, hold profoundpromise for informing pre-existing causal inferential debate throughout thesocial sciences. A research methodology framework is needed.

Complete Identification Methods forCausal Inference

https://books.google.com/books?isbn=1109080956 -

Ilya Shpitser - 2008 -

Using theframework of graphical causal models which formalizes a variety of causalqueries, such as causal effects, counterfactuals and path-specific effects ascertain types of probability distributions, I will develop algorithms which ...

Causal Inference in Econometrics

https://books.google.com/books?isbn=3319272845 -

Van-Nam Huynh,‎Vladik Kreinovich, ‎Songsak Sriboonchitta - 2015 -

This book isdevoted to the analysis of causal inference which is one of the most difficulttasks in data analysis: when two phenomena are observed to be related, it isoften difficult to decide whether one of them causally influences the ...

Explanation in Causal Inference: Methodsfor Mediation and Interaction

https://books.google.com/books?isbn=019932588X -

Tyler VanderWeele - 2015 - ‎

and approachesto mediation and interaction from the causal inference literature employingcounterfactuals. This counterfactual approach can be extended to addressquestions of mediation and interaction by extending the counterfactual ...

A Review of Causal Inference

https://books.google.com/books?id=WITKjwEACAAJ -

Dayang Liu - 2009 -

Abstract: Inthis report, I first review the evolution of ideas of causation as it relatesto causal inference.

Applied Bayesian modeling and causalinference from incomplete-data ...

https://books.google.com/books?isbn=047009043X - 

Donald B. Rubin, ‎AndrewGelman, ‎Xiao-Li Meng - 2004 - ‎

This book bringstogether a collection of articles on statistical methods relating to missingdata analysis, including multiple imputation, propensity scores, instrumentalvariables, and Bayesian inference.

Causality: Models, Reasoning, andInference

https://books.google.com/books?isbn=0521773628 -

Judea Pearl - 2000 - ‎

The book willfacilitate the incorporation of causal analysis as an integral part of thestandard curriculum in statistics, business, epidemiology, social science andeconomics.

Causal Inference Methods for EstimatingLong-term Health Effects of ...

https://books.google.com/books?id=16aNvgAACAAJ - 

Corwin Matthew Zigler - 2016 - 

Parametric Potential-outcome SurvivalModels for Causal Inference: A ...

https://books.google.com/books?id=oT8jPwAACAAJ - 

Zhaojing Gong - 2008 -

Causal Inference, Path Analysis andRecursive Structural Equations ...

https://books.google.com/books?id=3WOTHAAACAAJ -

1988 - ‎

Restricted Structural Equation Modelsfor Causal Inference

https://books.google.com/books?id=A8_dlgEACAAJ - 

Jonas Martin Peters - 2012 - 

Essays in Causal Inference and PublicPolicy

https://books.google.com/books?id=fBzajgEACAAJ - 

Avi Isaac Feller - 2015 - ‎

Thisdissertation addresses statistical methods for understanding treatment effectvariation in randomized experiments, both in terms of variation acrosspre-treatment covariates and variation across post-randomization intermediateoutcomes ...

Causal Inference in Urban and RegionalEconomics

https://books.google.com/books?id=0C4dogEACAAJ - 

Nathaniel Baum-Snow, ‎Fernando Ferreira - 2014 - ‎

Recovery ofcausal relationships in data is an essential part of scholarly inquiry in thesocial sciences.

Statistics and Causality: Methods forApplied Empirical Research

https://books.google.com/books?isbn=1118947061 

WolfgangWiedermann, ‎Alexander von Eye - 2016 - 

The book isdivided into five accessible and independent parts. The first part introducesthe foundations of causal structures and discusses issues associated withstandard mechanistic and difference-making theories of causality.

Latent Variable Modeling and Applicationsto Causality

https://books.google.com/books?isbn=146121842X - 

Maia Berkane - 2012- ‎

The papers inthis volume are representative of a wide variety of disciplines in which theuse of latent variable models is rapidly growing. The volume is divided intotwo broad sections.

The Oxford Handbook of Causal Reasoning

https://books.google.com/books?isbn=0199399557 - 

Michael Waldmann -2017 - ‎

Causal Analysis in Population Studies:Concepts, Methods, Applications

https://books.google.com/books?isbn=9048182328 - 

HenrietteEngelhardt, ‎Hans-Peter Kohler, ‎Alexia Fürnkranz-Prskawetz - 2010 - ‎

This bookpresents both theoretical contributions and empirical applications of thecounterfactual approach to causal inference.

Foundations of Bayesianism

https://books.google.com/books?isbn=9401715866 - 

D. Corfield, ‎JonWilliamson - 2013 - ‎

This is anauthoritative collection of papers addressing the key challenges that face theBayesian interpretation of probability today.

Multilevel Modeling of Social Problems:A Causal Perspective

https://books.google.com/books?isbn=9401784310 -

Robert B Smith - 2014 -

Uniquelyfocusing on intersections of social problems, multilevel statistical modeling,and causality; the substantively and methodologically integrated chapters ofthis book clarify basic strategies for developing and testing multilevel ...

Why: A Guide to Finding and Using Causes

https://books.google.com/books?isbn=1491949643 - 

Samantha Kleinberg - 2015 -

This book helpsyou think about causality in a structured way: What is a cause, what are causesgood for, and what is compelling evidence of causality?

Causality: A Study of SeventeenthCentury Philosophy

https://books.google.com/books?id=BXMqAQAAMAAJ - 

Daisie Radner - 1969 - ‎

Theories of Causality: From Antiquity tothe Present

https://books.google.com/books?isbn=1412845580 

John Losee - 2012 - 

This volume is awide-ranging history of answers that have been given to these three questions,and their relationship to scientific understanding.

Causality and Explanation

https://books.google.com/books?isbn=019802682X - 

Wesley C. Salmon - 1998 - ‎

This uniquevolume brings together twenty-six of his essays on subjects related tocausality and explanation, written over the period 1971-1995.

A probabilistic theory of causality

https://books.google.com/books?id=Ff4HAQAAIAAJ - 

Patrick Suppes - 1970 - ‎‎

Capturing Connectivity and Causality inComplex Industrial Processes

https://books.google.com/books?isbn=3319053809 - 

Fan Yang, ‎Ping Duan, ‎Sirish L. Shah - 2014 - ‎

In this chapter,we focus on the relationship between different time series to capturecausality in the process. For a pair ofprocess variables, various data-based methods can be applied to detect causality. These methods can becategorized ..

Causality and Science

https://books.google.com/books?isbn=1443765392 -

Nalini Kanta Brahma - 2008 - ‎无预览 -

The writing ofthis book has afforded him pleasure in his leisure moments, and that pleasurewould be much increased if he knew that the perusal of it would create any bondof sympathy between himself and the angling community in general.

The perception of causality

https://books.google.com/books?id=NOt9AAAAMAAJ - 

Albert Michotte -1963 - ‎阅读内容摘录 - ‎

Correlation and causality

https://books.google.com/books?isbn=0471024392 -

David A. Kenny - 1979 - ‎

Structuralmodeling; Covariance algebra; Principles of path analysis; Models with observedvariables as causes; Measurement error in the exogenous variable and thirdvariables; Observed variables as causes of each other; Single unmeasured ...

Causality in natural science

https://books.google.com/books?id=eBYLAAAAMAAJ -

Victor Fritz Lenzen - 1954 - ‎阅读内容摘录 - 

Causal Overdetermination andContextualism

https://books.google.com/books?isbn=3319338013 -

Esteban Céspedes - 2016 - ‎

This workexplains how different theories of causation confront causal overdetermination.

Causal Reasoning: A Systems Approach

https://books.google.com/books?isbn=2881248543 

John Charles Francis - 1992 -

Synthesizes thecausal reasoning used in artificial intelligence, and the traditional expert systemapproaches based on heuristic knowledge, thus providing a methodology foranalyzing causal mechanisms in physical systems.

Causation & Causality: Two Mirrorsof the Cause

https://books.google.com/books?isbn=1902835123 -

S. K. Leung - 2002 - ‎

With DavidHume's profound philosophical doubts on causation at the background, this bookattempts to answer many difficult questions.

Visualizing Causality in Context UsingAnimation

https://books.google.com/books?isbn=049446920X -

2007 - 

Keywords:visualization of causality, perception of causality, causal overlay, visualcausal vector

计量经济圈是中国计量第一大社区，我们致力于推动中国计量理论和实证技能的提升，圈子以海内外高校研究生和教师为主。计量经济圈六多精神：计量资料多，社会科学数据多，科研牛人多，名校人物多，热情互助多，前沿趋势多。如果你热爱计量并希望长见识，那欢迎你加入到咱们这个大家庭（戳这里），要不然你只能去其他那些Open access圈子了。注意：进去之后一定要看“群公告”，不然接收不了群息，也不知道怎么进入咱们的微信群和计量论坛。

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