Statistics and Public Policy

Scope & Guideline

Connecting Theory and Practice for Better Outcomes.

Introduction

Immerse yourself in the scholarly insights of Statistics and Public Policy with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN2330-443x
PublisherROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
Support Open AccessYes
CountryUnited States
TypeJournal
Convergefrom 2014 to 2024
AbbreviationSTAT PUBLIC POLICY / Stat. Public Policy
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND

Aims and Scopes

The journal 'Statistics and Public Policy' is dedicated to the application of statistical methods and analyses to public policy issues, providing a platform for research that enhances understanding and informs decision-making in governance and societal challenges.
  1. Statistical Analysis in Public Policy:
    The journal emphasizes the use of statistical methods to analyze data relevant to public policy, aiming to provide evidence-based insights that can guide legislators and policymakers.
  2. Evaluation of Government Programs:
    Research often focuses on evaluating the effectiveness of government programs, utilizing various statistical techniques to assess outcomes and impacts.
  3. Interdisciplinary Approaches:
    The journal encourages interdisciplinary research that combines statistical analysis with insights from economics, sociology, political science, and other fields to address complex public policy issues.
  4. Methodological Innovations:
    A core aim is to advance statistical methodology, particularly in areas like causal inference, Bayesian analysis, and machine learning as they apply to public policy challenges.
  5. Focus on Social Justice and Equity:
    There is a consistent focus on issues of social justice, equity, and the impact of policy decisions on marginalized communities, often through the lens of statistical analysis.
The journal has adapted to contemporary issues and challenges, leading to the emergence of new themes that reflect current societal concerns and advancements in statistical methodologies.
  1. Impact of COVID-19 on Public Policy:
    Research analyzing the effects of COVID-19 on various aspects of public policy, including health, economy, and social behavior, has surged, highlighting the pandemic's unprecedented impact.
  2. Statistical Ethics and Integrity:
    There is an increasing focus on ethical considerations in statistical practices, particularly concerning data integrity and the misuse of statistics in public discourse.
  3. Discrimination and Social Justice:
    Emerging themes include the statistical analysis of discrimination and social justice issues, as researchers aim to quantify and understand disparities in various sectors.
  4. Machine Learning in Public Policy:
    The integration of machine learning techniques into statistical analyses for public policy applications is gaining traction, reflecting the broader trend in data science.
  5. Forensic Statistics:
    The application of statistical methods in forensic science and legal contexts is trending, indicating a growing interest in the intersection of statistics and law enforcement.

Declining or Waning

While the journal has shown strength in various areas, certain themes appear to be diminishing in prominence over recent years. This section highlights those topics that are becoming less frequent in publications.
  1. Traditional Election Forecasting:
    Research focused on traditional election forecasting methods has declined, possibly due to the increased complexity and uncertainty in electoral outcomes, especially following recent elections.
  2. Purely Theoretical Statistical Methods:
    There appears to be a waning interest in purely theoretical statistical methods that do not directly apply to public policy or social issues, as the journal shifts towards more applied research.
  3. Local Government Policy Studies:
    Papers specifically analyzing local government policies have decreased, indicating a potential shift toward more national or global policy analyses and their statistical implications.

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