About the Journal
The history of economics is a history of its intertwined development with data processing technologies. From the establishment of statistical inference as the cornerstone of econometrics to the advancement of causal identification driven by the experimental revolution, the refinement of methodologies has always been a crucial engine propelling the deepening of the discipline. Currently, we are at a turning point defined by data science. Massive amounts of unstructured data and complex computational models not only form a new empirical foundation but also inherently demand the expansion and reconstruction of traditional research paradigms.
Against this backdrop, the intersection of economics and data science has transcended one-way technological application. It heralds a creative integration of research paradigms—economics, with its profound theoretical frameworks and pursuit of causality, will provide data science with fundamental problem orientation and a core of value; while the latter, with its powerful predictive and pattern recognition capabilities, will open up new horizons for economics to explore complex systems and test core hypotheses.
"Economics and Data Science" emerges under this consensus. This journal aims to build a rigorous academic platform, actively promote this dialogue, and dedicate itself to publishing foundational achievements that can lead this integration process.
Founding Declaration
Rooted in theoretical depth, leading methodological innovation, and driving paradigm integration.
Aims and Objectives
1. Supporting substantive innovation in various fields of economics
We are committed to advancing theoretical development and empirical breakthroughs in all subfields of economics. We particularly value economic research that can provide key inspiration for data science or open up potential cooperation spaces.
2. Leading paradigm integration driven by data science
We actively foster two-way dialogue and in-depth interdisciplinary integration between economics and data science. On the one hand, we encourage the use of data science technologies to solve long-standing empirical challenges in economics; on the other hand, we also welcome original computational methods inspired by economic theories and problems.
3. Cultivating an open and rigorous academic community
We aspire to become the premier forum for global scholars to discuss economics, data science, and their interdisciplinary frontiers. Through rigorous interdisciplinary peer review, efficient publishing processes, and immediate open access, we will ensure the wide dissemination of important ideas and achievements, and actively organize academic activities to cultivate an inclusive, active, and rigorous academic community.
Submission Directions:
1. Economic Theories and Methods
1. Microeconomic theory and behavioral economics
2. Macroeconomic theory and policy analysis
3. Econometric theory and methodological innovation
4. Development economics and institutional analysis
5. Financial economics and asset pricing
2. Data Science Technologies
6. Machine learning and causal inference
7. Natural language processing and text analysis
8. Network science and complex systems
9. Bayesian methods and statistical computing
10. Data privacy and algorithmic fairness
3. Innovative Applications in Interdisciplinary Fields
11. Big data and macroeconomic forecasting
12. Digital economy and platform economy research
13. Environmental and energy economics
14. Social networks and economic behavior analysis
15. Computational social science and simulation
4. Policy and Practice Research
16. Economic policy evaluation and optimization
17. Fintech and regulatory innovation
18. Health and education policy evaluation
19. Labor markets and social security
20. Urban and regional development research
Part 1: Manuscript Preparation
This section outlines the formatting and stylistic requirements for all manuscripts submitted to Economics and Data Science (EDS).
1.1 Article Structure
Your article should be divided into clearly defined and numbered sections. Subsections should be numbered 1.1 (then 1.1.1, 1.1.2, ...), 1.2, etc. The abstract is not included in section numbering. A typical structure includes:
Introduction: State the objectives of the work and provide an adequate background.
Material and Methods/Theory: Provide sufficient detail to allow the work to be reproduced.
Results: Results should be clear and concise.
Discussion: This should explore the significance of the results, not repeat them.
Conclusions: The main conclusions of the study.
Appendices: If there is more than one appendix, they should be identified as A, B, etc.
1.2 Essential Title Page Information
The title page should be a separate page and include the following:
Title: Concise and informative. Avoid abbreviations where possible.
Author Names and Affiliations: Clearly indicate the given name(s) and family name(s) of each author. Present the authors' affiliation addresses below the names.
Corresponding Author: Clearly indicate who will handle correspondence at all stages. Ensure that the e-mail address is provided and kept up to date.
Abstract: A concise and factual abstract of no more than 150 words is required.
Keywords: Provide a maximum of 6 keywords.
JEL Codes: Provide appropriate JEL classification codes.
1.3 Main Text Formatting
Math Formulae: Please submit math equations as editable text and not as images. Number consecutively any equations that have to be displayed separately from the text.
Footnotes: Footnotes should be used sparingly. Number them consecutively throughout the article.
1.4 Figures and Tables
General: Submit tables as editable text and not as images. Figures should be submitted in high-resolution file formats (e.g., TIFF, EPS, PDF).
Placement: At the initial submission stage, please place figures and tables next to the relevant text in the manuscript.
Numbering: Number tables and figures consecutively in accordance with their appearance in the text (Table 1, Figure 1, etc.).
Captions and Notes: A caption should be supplied for each figure and table, placed directly below it. For tables, place any table notes below the table body.
1.5 References
At Initial Submission: There are no strict requirements on reference formatting at submission. References can be in any style or format, as long as the style is consistent and all necessary information is present.
At Revision Stage: Please follow the APA (American Psychological Association) 7th edition style for in-text citations and arrange the reference list alphabetically. Detailed examples are provided below.
Reference Examples:
Journal Article: Van der Geer, J., Hanraads, J. A. J., & Lupton, R. A. (2010). The art of writing a scientific article. Journal of Scientific Communications, 163(2), 51–59.
Book: Strunk, W., Jr., & White, E. B. (2000). The Elements of Style (4th ed.). Longman.
1.6 Distinctions Between Research Papers and Policy Papers
EDS welcomes both traditional academic Research Papers and impactful Policy Papers. While all submissions follow the same flexible formatting guidelines at the initial stage, authors should consciously prepare their manuscripts according to the distinct focus and style of one of these two tracks.
1.6.1 Research Papers
Focus: Primarily contributes to theoretical and/or empirical academic knowledge. Emphasis is on methodological rigor, novel findings, and situating contributions within the academic literature.
Length: A strict 45-page limit (including all elements) applies at the final acceptance stage.
1.6.2 Policy Papers
Focus: Policy relevance is paramount. Papers should provide a compelling analysis of a significant policy problem, with clear exposition of the institutional context and accessible presentation of results. The conclusion must contain concrete, well-argued policy recommendations.
Length: Also subject to a 45-page limit at the final acceptance stage. It is recognized that comprehensive policy analysis may require more space (e.g., 30-45 pages).
Part 2: Journal Policies
2.1 Originality and Research Integrity Policy
Originality: Manuscripts must be original works and must not have been previously published in any form (journal, conference proceedings, book, thesis, etc.). Submission implies the work is not under concurrent consideration elsewhere.
Plagiarism and Text Recycling (Self-Plagiarism): Plagiarism is strictly prohibited. Substantial reuse of an author's own previously published text should be avoided; where necessary, it must be clearly cited and fall within fair use. All submissions are screened using text-similarity software.
Duplicate Submission: The journal does not consider manuscripts under active review elsewhere. Submission of manuscripts previously posted on non-peer-reviewed preprint servers (e.g., arXiv, SSRN) is permitted, but this must be disclosed in the cover letter.
Research Misconduct: The journal has a zero-tolerance policy for data fabrication, falsification, or inappropriate authorship. Suspected cases will be investigated following COPE (Committee on Publication Ethics) guidelines.
2.2 Data Availability Policy
Objective: To ensure verification, reproducibility, and reuse of research, EDS requires authors to make all data and code underpinning their conclusions available.
Data Deposition: Authors are required to deposit data in a trusted public repository (e.g., Dryad, Figshare, Zenodo, or a university repository) that provides a persistent identifier (e.g., DOI).
Data Availability Statement: All accepted manuscripts must include a "Data Availability Statement" section. Example templates:
Data publicly available: "The data and code supporting the findings of this study are openly available in [Repository Name] at [URL or DOI]."
Data within the article: "All data generated or analysed during this study are included in this published article and its supplementary information files."
Data under restricted access: "The data supporting this study are not publicly available due to [e.g., privacy/ethical restrictions]. Anonymized data and access procedures are available from the corresponding author upon reasonable request."
No new data: "Data sharing is not applicable to this article as no new data were created or analysed. All data used are from previously published studies, which are cited accordingly."
Enforcement: A draft Data Availability Statement is required at initial submission. Peer reviewers may request access to the data to evaluate the manuscript. Failure to comply with this policy will result in rejection.
Part 3: Submission Process
Cover Letter: A cover letter is mandatory for all submissions. It must:
Briefly explain the manuscript's contribution to the fields of economics and data science.
Confirm that the work is original and not under review elsewhere.
Disclose any related manuscripts posted on preprint servers or presented at conferences.
Suggesting Editors: Authors may suggest two (co-)editors from the editorial board who are most appropriate for handling the paper. Authors should also list any editors who may have a conflict of interest.
Author Biographies: Upon acceptance, authors will be asked to provide brief biographical sketches (approx. 50-100 words) and a 200-word summary of the paper for promotional purposes.
