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Journal of Causal Inference

Ed. by Imai, Kosuke / Pearl, Judea / Petersen, Maya Liv / Sekhon, Jasjeet / van der Laan, Mark J.

    99,00 € / $149.00 / £75.00*

    Online
    ISSN
    2193-3685
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    Overview

    Free Trial Access Available!

    Register with De Gruyter Online and get access to this and other selected journals. Simply register with De Gruyter Online, log in and go to your personal user account "My De Gruyter". Please enter your access token FREE-ACCESS into the field provided. Once you have redeemed your token, you will be able to access the free content via the respective journal page.
    Your benefits
    • Interdisciplinary approach
    • Quantitative methodology
    • Outstanding editorial board
    • One of leading journals in causal inference
    • Open access publication

    Aims and Scope

    Objective
    Journal of Causal Inference (JCI) publishes papers on theoretical and applied causal research across the range of academic disciplines that use quantitative tools to study causality.

    The past two decades have seen causal inference emerge as a unified field with a solid theoretical foundation, useful in many of the empirical and behavioral sciences. Journal of Causal Inference aims to provide a common venue for researchers working on causal inference in biostatistics and epidemiology, economics, political science and public policy, cognitive science and formal logic, and any field that aims to understand causality. The journal serves as a forum for this growing community to develop a shared language and study the commonalities and distinct strengths of their various disciplines' methods for causal analysis.

    Existing discipline-specific journals tend to bury causal analysis in the language and methods of traditional statistical methodologies, creating the inaccurate impression that causal questions can be handled by routine methods of regression or simultaneous equations, glossing over the special precautions demanded by causal analysis. In contrast, JCI highlights both the uniqueness and interdisciplinary nature of causal research.

    Free Trial Access Available!
    Register with De Gruyter Online and get access to this and other selected journals. Simply register with De Gruyter Online, log in and go to your personal user account "My De Gruyter". Please enter your access token FREE-ACCESS into the field provided. Once you have redeemed your token, you will be able to access the free content via the respective journal page.

    The Journal of Causal Inference is proud to announce the new Editor’s Choice free access article feature. To download the featured article free of charge, please click the link below.
    Vol. 4 Iss. 1: Predicting Is Not Explaining: Targeted Learning of the Dative Alternation by Antoine Chambaz and Guillaume Desagulier

    Topics
    Any field aiming at understanding causality, especially
    • Biostatistics and epidemiology
    • Economics
    • Political science
    • Public policy
    • Cognitive science
    • Formal logic
    Causal inference:
    • Research design
    • Causal model and target parameter specification
    • Identifiability
    • Statistical estimation
    • Sensitivity analysis/interpretation.
    • Quantitative statistics’ elaboration of causal methods in applied data analyses
    • Cross-disciplinary methodological research
    • History of the causal inference field and its philosophical underpinnings

    Article formats
    Original research articles, book reviews, short communications on topics that aim to stimulate public debate and bring unorthodox perspectives to open questions

    Information on submission process

    Details

    Language:
    English
    Type of Publication:
    Journal
    Readership:

    All those interested in the causal inference, especially researchers

    Submission of Manuscripts

    Instructions for Authors

    Submission
    Submit your article through our Online Submission Tool

    Your benefits of publishing with us

    Submission process
    • Get familiar and set your manuscript according to our Manuscript Preparation Guidelines
    • Submission of your paper via Online Submission Tool
    • Peer review process
    • Decision on your paper
    • Print/online publishing
    • You will be guided through the whole process of submission
    • In case of any problems editorial assistance will be provided

    Please note
    • Before submitting your manuscript, please get familiar with Publication Ethics Statement
    • Once your article is accepted you have the option to publish it open access
    • Our repository policy allows you to distribute 30 PDF copies of your published article to colleagues (the PDF has to include the information that it is an author's copy). Please also feel free to distribute the link to the online abstract
    • If you have any general questions please visit our FAQ page for authors

    We look forward to receiving your manuscript!

    More ...

    Abstracting & Indexing

    Journal of Causal Inference is covered by the following services:

    • Baidu Scholar
    • Case
    • Celdes
    • CNKI Scholar (China National Knowledge Infrastructure)
    • CNPIEC
    • EBSCO (relevant databases)
    • EBSCO Discovery Service
    • Genamics JournalSeek
    • Google Scholar
    • J-Gate
    • JournalTOCs
    • Naviga (Softweco)
    • Philosophy Documentation Center - Philosophy Research Index
    • PhilPapers
    • Primo Central (ExLibris)
    • ReadCube
    • Research Papers in Economics (RePEc)
    • ResearchGate
    • Sherpa/RoMEO
    • Summon (Serials Solutions/ProQuest)
    • TDOne (TDNet)
    • Thomson Reuters - Emerging Sources Citation Index
    • Ulrich's Periodicals Directory/ulrichsweb
    • WorldCat (OCLC)

    Editorial Information

    Editors
    Kosuke Imai, Princeton University
    Judea Pearl, University of California, Los Angeles
    Maya Petersen, University of California, Berkeley School of Public Health
    Jasjeet Sekhon, University of California, Berkeley
    Mark van der Laan, University of California, Berkeley School of Public Health

    Editorial Board
    Alberto Abadie, Harvard University
    Jaap H. Abbring, Tilburg University
    Peter Aronow, Yale University
    Kenneth Bollen, University of North Carolina
    Matias D. Cattaneo, University of Michigan
    Antoine Chambaz, Université Paris Ouest Nanterre
    Philip Dawid, University of Cambridge
    Felix Elwert, University of Wisconsin-Madison
    Bryan S. Graham, University of California – Berkeley and National Bureau of Economic Research
    Donald Green, Columbia University
    Sander Greenland, University of California, Los Angeles
    Jens Hainmueller, Stanford University
    Joseph Halpern, Cornell University
    James Heckman, University of Chicago
    Miguel Hernan, Harvard School of Public Health
    Jennifer Hill, New York University
    Christopher Hitchcock, California Institute of Technology
    Marshall Joffe, University of Pennsylvania
    Luke Keele, Penn State University
    Manabu Kuroki, The Institute of Statistical Mathematics
    Edward Miguel, University of California, Berkeley
    Michael Oakes, University of Minnesota School of Public Health
    Thomas Richardson, University of Washington
    Ed Rigdon, Georgia State University
    James Robins, Harvard School of Public Health
    Michael Rosenblum, Johns Hopkins Bloomberg School of Public Health
    Andrea Rotnitsky, Harvard School of Public Health
    Sherri Rose, Harvard Medical School
    Ilya Shpitser, University of Southampton
    Dylan Small, The Wharton School, University of Pennsylvania
    Michael Sobel, Columbia University
    Peter Sprites, Carnegie Mellon University
    Elizabeth Stuart, Johns Hopkins University
    Eric Tchetgen Tchetgen, Harvard School of Public Health
    Jin Tian, Iowa State University
    Tyler VanderWeele, Harvard School of Public Health
    Stijn Vansteelandt, Ghent University, Belgium and London School of Public Health
    Ed Vytlacil, Yale University
    Steven West, Arizona State University
    Christopher Winship, Harvard University
    Teppei Yamamoto, Massachusetts Institute of Technology

    Comments (8)

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    • Is anyone at De Gruyter actually reading these comments? The spam here has been sitting for months, and the fact that no-one has cleared it out does not give a favourable impression.

      posted by: Richard Kennaway on 2012-08-25 12:02 PM (Europe/Berlin)

    • Hello, Of course we are reading all comments we receive on De Gruyter Online and we are always very happy to get your feedback. As for your question regarding spam comments: We have formulated house rules for the communication on De Gruyter Online that you can find at http://www.degruyter.com/dg/page/177/hausregeln. As long as a comment does not contradict any of these rules, we do not delete the published content since we would like to encourage all users to provide feedback at all times and to enter into lively exchange with other users on academic themes.

      posted by: De Gruyter Online on 2012-08-27 10:44 AM (Europe/Berlin)

    • Where can I see and download previous volumes of the Journal of Causal Inference? The webpage is very confusing.

      posted by: Ivan Diaz on 2012-11-09 03:36 AM (Europe/Berlin)

    • Hello, thank you for your interest! This journal is actually not published yet. The first volume will be available in 2013. We are very sorry for the confusing comments above. They refer to another journal and are displayed by mistake. We are already working on the problem.

      posted by: De Gruyter Online on 2012-11-09 02:55 PM (Europe/Berlin)

    • I am trying to find an article that is "in press" here - when will the articles be published?

      posted by: Kathleen Liu on 2013-05-26 11:52 PM (Europe/Berlin)

    • Hello - Thanks for your interest. The articles will be published in mid-June.

      posted by: De Gruyter Online on 2013-05-28 05:44 PM (Europe/Berlin)

    • Does the Journal of Causal Inference accept prior or post distribution of a submitted artcle (or at least of a draft) on an e-print server like arXiv ? If so, which of the non-esclusive Creative Commons licenses available from arXiv is better to choose? Thanks for Your help

      posted by: massimo on 2016-03-04 10:48 PM (Europe/Berlin)

    • Dear Massimo, Thanks for your interest. We have forwarded your question to the editors. They will contact you directly via email.

      posted by: De Gruyter Online on 2016-03-07 05:48 PM (Europe/Berlin)