Statistics and Public Policy is a fully open access journal that publishes papers that apply sound statistical thinking and methods to issues related to public policy. The journal is an official publication of the American Statistical Association (ASA).
Statistics and Public Policy publishes research related to evidence-based methods directly relevant to public policy questions. Such research includes data analysis that sheds light on particular questions in public policy, as well as investigates methods typically used in such analyses. Submitted articles need not include innovative statistical methodology—insightful and appropriate application of existing techniques is perfectly acceptable. We encourage submissions from all areas of statistics and public policy, including education, energy, the environment, health, politics, and policy evaluation. Manuscripts published in the journal may address international, national, or local policy questions.
Article Publishing Charges (APCs)
The ASA and Taylor & Francis are committed to making open access publishing as accessible as possible for authors. Please note that there are no fees to submit or be accepted by the journal.
Peer-Review Policy
All submitted manuscripts are subject to initial appraisal by the Editor and, if found suitable for further consideration, to rigorous and rapid peer review by independent, anonymous expert referees.
The Journal adheres to the highest standards of publishing ethics, with rigorous processes in place to ensure this is achieved. Taylor & Francis is a member of Committee of Publications Ethics (COPE).
br /> ASA Statement on Justice, Equity, Diversity, and Inclusion (JEDI)
The leadership of the American Statistical Association commits to strengthening our professional community by making it more just, equitable, diverse, and inclusive. We affirm that our mission, Promote the Practice and Profession of Statistics, can be realized only by fully embracing justice, equity, diversity, and inclusivity in all of our operations. Individuals embody many traits, so the leadership will work with the members of ASA to create and sustain responsive, flourishing, and safe environments that support individual needs, stimulate intellectual growth, and promote professional advancement for all. We commit to these objectives:
Learn from our members and others how to identify and overcome systemic racism and hindering biases of any kind
Critically reappraise and improve the effectiveness of our JEDI efforts
Identify and develop resources for individuals and organizations in our professional community to enable growth and appreciation for cultural humility
Share openly our diversity and inclusion efforts and the solutions we have implemented
Journal metrics
Usage
86K annual downloads/views
Citation metrics
1.5 (2023) Impact Factor
Q2 Impact Factor Best Quartile
1.8 (2023) 5 year IF
3.2 (2023) CiteScore (Scopus)
Q2 CiteScore Best Quartile
1.183 (2023) SNIP
0.405 (2023) SJR
Speed/acceptance
174 days avg. from submission to first
decision
59% acceptance rate
Understanding and using journal metrics
Journal metrics can be a useful tool for readers, as well as for authors
who are deciding where to submit their next manuscript for publication.
However, any one metric only tells a part of the story of a journal’s
quality and impact. Each metric has its limitations which means that it
should never be considered in isolation, and metrics should be used to
support and not replace qualitative review.
We strongly recommend that you always use a number of metrics, alongside
other qualitative factors such as a journal’s aims & scope, its
readership, and a review of past content published in the journal. In
addition, a single article should always be assessed on its own merits and
never based on the metrics of the journal it was published in.
Usage and acceptance rate data above are for the last full calendar year
and are updated annually in February. Speed data is updated every six
months, based on the prior six months. Citation metrics are updated
annually mid-year. Please note that some journals do not display all of
the following metrics
(find out why).
Usage:
the total number of times articles in the journal were viewed by users
of Taylor & Francis Online in the previous calendar year, rounded to the
nearest thousand.
Citation Metrics
Impact Factor*:
the average number of citations received by articles published in the
journal within a two-year window. Only journals in the Clarivate Science
Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI),
Arts and Humanities Citation Index (AHCI) and the Emerging Sources
Citation Index (ESCI) have an Impact Factor.
Impact Factor Best Quartile*:
the journal’s highest subject category ranking in the Journal Citation
Reports. Q1 = 25% of journals with the highest Impact Factors.
5 Year Impact Factor*:
the average number of citations received by articles in the journal
within a five-year window.
CiteScore (Scopus)†:
the average number of citations received by articles in the journal over
a four-year period.
CiteScore Best Quartile†:
the journal’s highest CiteScore ranking in a Scopus subject category. Q1
= 25% of journals with the highest CiteScores.
SNIP
(Source Normalized Impact per Paper):
the number of citations per paper in the journal, divided by citation
potential in the field.
SJR
(Scimago Journal Rank):
Average number of (weighted) citations in one year, divided by the
number of articles published in the journal in the previous three years.
Speed/acceptance
From submission to first decision:
the average (median) number of days for a manuscript submitted to the
journal to receive a first decision. Based on manuscripts receiving a
first decision in the last six months.
From submission to first post-review decision:
the average (median) number of days for a manuscript submitted to the
journal to receive a first decision if it is sent out for peer review.
Based on manuscripts receiving a post-review first decision in the last
six months.
From acceptance to online publication:
the average (median) number of days from acceptance of a manuscript to
online publication of the Version of Record. Based on articles published
in the last six months.
Acceptance rate:
articles accepted for publication by the journal in the previous
calendar year as percentage of all papers receiving a final decision.
Editor Aleksandra Slavkovic -Penn State University
Past Editors 2016–2018, Michael Cohen 2001–2015, David Banks (SPP Published by Bepress) 2019–2021, Jerome Reiter
Associate Editors David Banks - Duke University Michael Cohen - U.S. National Academy of Sciences, Engineering, and Medicine Michael Davern - NORC Avi Feller - University of California, Berkeley Joseph Gastwirth - George Washington University Bonnie Ghosh-Dastidar - Rand Ruobin Gong - Rutgers, the State University of New Jersey Justin Gross - University of Massachusetts Feng Guo - Virginia Tech Amy O'Hara - Georgetown University Jingchen (Monika) Hu - Vassar College Jane Hutton - Warwick University David Marker - Westat Robin Mejia - Carnegie Mellon University Qing Pan - George Washington University Megan Price - Human Rights Data Analysis Group Jerome Reiter - Duke University Jeremy Seeman - University of Michigan Jasjeet Sekhon - Yale University Makram Talih - University of Porto Institute of Public Health
Abstracting and indexing
Statistics and Public Policy is abstracted and indexed in:
Baidu Scholar British Library Inside CNKI Cunningham Library Search (ACER) Danish Bibliometric Research Indicator (BFI) - Level 2 Directory of Open Access Journals (DOAJ) DTU FindIt E-Lib Breman Electronic Journals Library (EZB) Emerging Sources Citation Index (ESCI) Finnish Publication Forum (Julkaisufoorumi) - Level 2 Go-OA (Recommendations from the Chinese Academy of Science for OA Journals) Google Scholar Journal TOC Naver Academic Norwegian Register for Scientific Journals, Serials and Publishers - Level 1 Portico SciBase Scopus Ulrich's Periodcals Directory WorldCat Local (OCLC)
Open access
Statistics and Public Policy is an open access journal and only publishes open access articles. Publishing open access means that your article will be free to access online immediately on publication, increasing the visibility, readership, and impact of your research.
Why choose open access?
Increase the discoverability and readership of your article
Make an impact and reach new readers, not just those with easy access to a research library
Freely share your work with anyone, anywhere
Comply with funding mandates and meet the requirements of your institution, employer or funder
Rigorous peer review for every open access article
Article Publishing Charges (APC)
To publish open access in this journal you may be asked to pay an Article Publishing Charge (APC). You may be able to publish your article at no cost to yourself or with a reduced APC if your institution or research funder has an open access agreement or membership with Taylor & Francis. Discounts and waivers may also be available for researchers in selected countries when publishing in open access journals.
The American Statistical Association (ASA) is a leading professional organisation for statisticians, dedicated to the research and practice of statistics and statistical analysis. It focuses on the development, application, and dissemination of statistical science and operates at the interface of academia, policy, and practice.
Members of ASA are eligible to receive online access to each of the society’s subscription-based journals, online access to Math Horizons and other Taylor & Francis statistics and mathematics journals.
The association publishes the magazine CHANCE and ten journals:
Journal of Nonparametric Statistics Journal of the American Statistical Association Journal of Business & Economic Statistics Journal of Computational and Graphical Statistics Journal of Statistics and Data Science Education (an open access journal) Statistics in Biopharmaceutical Research Statistics and Public Policy (an open access journal) The American Statistician Technometrics Data Science in Science
American Statistical Association and our publisher Taylor & Francis make every effort to ensure the accuracy of all the information (the "Content") contained in our publications. However, American Statistical Association and our publisher Taylor & Francis, our agents (including the editor, any member of the editorial team or editorial board, and any guest editors), and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by American Statistical Association and our publisher Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. American Statistical Association and our publisher Taylor & Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to, or arising out of the use of the Content. Terms & Conditions of access and use can be found at http://www.tandfonline.com/page/terms-and-conditions .
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