近年來(lái)，在微觀(guān)計量領(lǐng)域，因果識別策略已經(jīng)占據了主流，傳統的方法始終難以解決關(guān)于內生性問(wèn)題的難題。計量經(jīng)濟圈的核心優(yōu)勢就是因果識別，傳統的宏觀(guān)領(lǐng)域的多方程關(guān)系研究也在吸收因果識別策略。在不久的將來(lái)，因果識別領(lǐng)域會(huì )有幾位先鋒者得到諾貝爾經(jīng)濟學(xué)獎。如果你對這些前沿技術(shù)也感興趣，那可以加入咱們大社群一起切磋交流學(xué)習(見(jiàn)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
2017-09
Bruno Maria Franceschetti
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
名稱(chēng) | Three Essays on Causality Approach to Modeling Long-term Economic Growth |
作者 | Piyachart Phiromswad |
撰稿人 | University of California, Davis |
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 - ?無(wú)預覽 -
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 - ?閱讀內容摘錄 - ?
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 - ?閱讀內容摘錄 -
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
計量經(jīng)濟圈是中國計量第一大社區，我們致力于推動(dòng)中國計量理論和實(shí)證技能的提升，圈子以海內外高校研究生和教師為主。計量經(jīng)濟圈六多精神：計量資料多，社會(huì )科學(xué)數據多，科研牛人多，名校人物多，熱情互助多，前沿趨勢多。如果你熱愛(ài)計量并希望長(cháng)見(jiàn)識，那歡迎你加入到咱們這個(gè)大家庭（戳這里），要不然你只能去其他那些Open access圈子了。注意：進(jìn)去之后一定要看“群公告”，不然接收不了群息，也不知道怎么進(jìn)入咱們的微信群和計量論壇。
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