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Journal of Causal Inference

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

Open Access

    Open Access
    Online
    ISSN
    2193-3685
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    Overview

    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) is a fully peer-reviewed, open access, electronic-only journal. 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.

    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 guidelines
    • Submission of your paper via Online Submission Tool
    • Peer review process
    • Decision on your paper
    • Online publishing
    • You will be guided through the whole process of submission
    • In case of any problems editorial assistance will be provided

    Please note

    We look forward to receiving your manuscript!

    More ...

    Abstracting & Indexing

    Journal of Causal Inference is covered by the following services:

    • Baidu Scholar
    • Case
    • CNKI Scholar (China National Knowledge Infrastructure)
    • CNPIEC - cnpLINKer
    • Dimensions
    • EBSCO (relevant databases)
    • EBSCO Discovery Service
    • EconBiz
    • Genamics JournalSeek
    • Google Scholar
    • Japan Science and Technology Agency (JST)
    • J-Gate
    • Journal Citation Reports/Social Sciences Edition
    • JournalTOCs
    • KESLI-NDSL (Korean National Discovery for Science Leaders)
    • Microsoft Academic
    • MyScienceWork
    • Naver Academic
    • Naviga (Softweco)
    • Norwegian Register for Scientific Journals, Series and Publishers
    • PhilPapers
    • Primo Central (ExLibris)
    • Publons
    • QOAM (Quality Open Access Market)
    • ReadCube
    • Research Papers in Economics (RePEc)
    • SCImago (SJR)
    • SCOPUS
    • Semantic Scholar
    • Sherpa/RoMEO
    • Summon (ProQuest)
    • TDNet
    • Ulrich's Periodicals Directory/ulrichsweb
    • WanFang Data
    • Web of Science - Current Contents/Social and Behavioral Sciences
    • Web of Science - Science Citation Index Expanded
    • Web of Science - Social Sciences Citation Index
    • WorldCat (OCLC)

    Editorial Information

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

    Editorial Board
    Alberto Abadie, Harvard University, USA
    Jaap H. Abbring, Tilburg University, Netherlands
    Peter Aronow, Yale University, USA
    Elias Bareinboim, Columbia University, USA
    David Benkeser, Emory University, USA
    Kenneth Bollen, University of North Carolina, USA
    Marco Carone, University of Washington, USA
    Matias D. Cattaneo, Princeton University, USA
    Antoine Chambaz, Université Paris Ouest Nanterre, France
    Philip Dawid, University of Cambridge, UK
    Peng Ding, University of California, Berkeley, USA
    Felix Elwert, University of Wisconsin-Madison, USA
    Avi Feller, University of California, Berkeley, USA
    Donald Green, Columbia University, USA
    Sander Greenland, University of California, Los Angeles, USA
    Jens Hainmueller, Stanford University, USA
    Joseph Halpern, Cornell University, USA
    James Heckman, University of Chicago, USA
    Miguel Hernan, Harvard School of Public Health, USA
    Jennifer Hill, New York University, USA
    Christopher Hitchcock, California Institute of Technology, USA
    Marshall Joffe, University of Pennsylvania, USA
    Cheng Ju, University of California, Berkeley, USA
    Luke Keele, Penn State University, USA
    Manabu Kuroki, The Institute of Statistical Mathematics, Tokyo, Japan
    Edward Miguel, University of California, Berkeley, USA
    Karthika Mohan, University of California, Berkeley, USA
    Romain Neugebauer, Kaiser Permanente
    Michael Oakes, University of Minnesota School of Public Health, USA
    Sam Pimentel, University of California, Berkeley, USA
    Ed Rigdon, Georgia State University, USA
    James Robins, Harvard School of Public Health, USA
    Michael Rosenblum, Johns Hopkins Bloomberg School of Public Health, USA
    Andrea Rotnitsky, Harvard School of Public Health, USA
    Ilya Shpitser, University of Southampton, UK
    Dylan Small, The Wharton School, University of Pennsylvania, USA
    Michael Sobel, Columbia University, USA
    Peter Sprites, Carnegie Mellon University, USA
    Elizabeth Stuart, Johns Hopkins University, USA
    Eric Tchetgen Tchetgen, Harvard School of Public Health, USA
    Jin Tian, Iowa State University, USA
    Tyler VanderWeele, Harvard School of Public Health, USA
    Stijn Vansteelandt, Ghent University, Belgium, and London School of Public Health, UK
    Ed Vytlacil, Yale University, USA
    Steven West, Arizona State University, USA
    Christopher Winship, Harvard University, USA
    Teppei Yamamoto, Massachusetts Institute of Technology, USA

    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)