Econometrics and Statistics

Scope & Guideline

Exploring the intersection of theory and application in statistics.

Introduction

Welcome to your portal for understanding Econometrics and Statistics, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN2468-0389
PublisherELSEVIER
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationECONOMET STAT / Econom. Stat.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

The journal 'Econometrics and Statistics' focuses on the interdisciplinary application of econometric methods and statistical techniques to economic and financial data analysis. It aims to advance the field by publishing high-quality research that develops innovative methodologies and explores their practical applications.
  1. Econometric Modeling:
    The journal emphasizes the development and application of econometric models that can effectively analyze economic data, focusing on time series, panel data, and cross-sectional studies.
  2. Statistical Methodologies:
    It covers a wide range of statistical techniques, including Bayesian methods, nonparametric approaches, and machine learning algorithms, aimed at enhancing data analysis and inference.
  3. Financial Statistics:
    The journal includes research related to financial data analysis, risk management, and portfolio optimization, often using advanced econometric techniques.
  4. High-Dimensional Data Analysis:
    Research focusing on high-dimensional data settings, including methodologies for variable selection, dimensionality reduction, and estimation in large datasets.
  5. Innovative Applications:
    The journal promotes studies that apply econometric and statistical methods in various fields such as healthcare, environmental studies, and social sciences, showcasing the versatility of these methodologies.
The journal has identified several emerging themes in recent publications, reflecting the evolving nature of econometric and statistical research. These trends highlight the growing areas of interest among researchers.
  1. High-Dimensional Econometrics:
    There is an increasing emphasis on high-dimensional econometrics, particularly in the context of large datasets and complex models, showcasing the need for innovative estimation and selection techniques.
  2. Bayesian Methods:
    Bayesian approaches are gaining traction, particularly in the estimation of models with latent variables and complex structures, indicating a shift towards probabilistic modeling and inference.
  3. Machine Learning Integration:
    The integration of machine learning techniques with traditional econometric methods is on the rise, reflecting a trend towards using data-driven approaches for model selection and prediction.
  4. Spatial and Network Analysis:
    Research focusing on spatial econometrics and network analysis is emerging, highlighting the need to understand interconnectedness and spatial dependencies in economic data.
  5. Robustness and Model Uncertainty:
    There is a growing interest in addressing model uncertainty and robustness in statistical inference, which is crucial for making reliable decisions based on econometric models.

Declining or Waning

While 'Econometrics and Statistics' continues to thrive in various research areas, certain themes have shown a decline in focus over recent years. The following points highlight these waning scopes.
  1. Traditional Parametric Models:
    There is a noticeable reduction in publications focused solely on traditional parametric econometric models, as researchers increasingly prefer more flexible and robust nonparametric and semiparametric approaches.
  2. Simple Time Series Analysis:
    Basic time series analysis techniques, such as ARIMA models, appear to be less frequently addressed, likely due to the growing complexity and sophistication of methodologies being employed in the field.
  3. Deterministic Models:
    The focus on deterministic models and static frameworks has diminished as researchers explore more dynamic models that incorporate uncertainty and time-varying parameters.

Similar Journals

Econometrics

Innovating Econometrics for a Dynamic Future
Publisher: MDPIISSN: Frequency: 4 issues/year

Econometrics, published by MDPI, is a prominent open access journal based in Switzerland, dedicated to advancing research in the fields of economics and econometrics. Since its inception in 2013, this journal has been pivotal in disseminating innovative theories and empirical findings, fostering an engaging dialogue among scholars and practitioners. With an impressive Q2 ranking in the 2023 category of Economics and Econometrics and a solid position at #378 out of 716 in Scopus rankings, it stands as a vital resource for those seeking to enhance their understanding and application of econometric methods. The journal offers immediate open access to its published articles, ensuring that researchers, professionals, and students alike can easily access and contribute to the evolving body of knowledge in this essential discipline. The scope of Econometrics encourages submissions that cover a broad array of topics, making it a dynamic platform for innovative research until 2024 and beyond.

TEST

Innovating methodologies to enhance statistical applications.
Publisher: SPRINGERISSN: 1133-0686Frequency: 3 issues/year

TEST, published by Springer, is a prestigious academic journal that serves as a vital platform for research in the fields of Statistics and Probability. With an ISSN of 1133-0686 and an E-ISSN of 1863-8260, TEST has been at the forefront of statistical methodology and applications since its inception in 1992. As of 2023, the journal holds a Q2 ranking in both the Statistics and Probability, and Statistics, Probability and Uncertainty categories, affirming its position among the leading scholarly publications in these domains. Although it currently does not offer open access, its rich repository of peer-reviewed articles and innovative research findings continues to attract attention from researchers, professionals, and students alike. Positioned within the competitive landscape of mathematical sciences, TEST aims to advance both theoretical developments and practical applications in statistical science through high-quality publications. Researchers can greatly benefit from the insights and methodologies presented within its pages, as elucidated by its Scopus rankings, placing it in the 56th percentile for Mathematics in Statistics and Probability and 53rd for Decision Sciences. For further inquiries, TEST is headquartered at One New York Plaza, Suite 4600, New York, NY 10004, United States, where it continually strives to contribute to the evolution of statistical research.

Journal of Financial Econometrics

Advancing the frontiers of financial insights.
Publisher: OXFORD UNIV PRESSISSN: 1479-8409Frequency: 5 issues/year

Journal of Financial Econometrics, published by Oxford University Press, stands as a leading academic journal in the fields of financial economics and econometrics. With an impressive impact factor and a ranking in the Q1 quartile for both Economics and Finance categories in 2023, this journal is recognized for its contribution to advancing theoretical and applied methodologies in financial econometric analysis. It publishes high-quality research that addresses critical issues in finance, aiming to foster a deeper understanding of the economic factors influencing financial markets and instruments. Researchers and practitioners alike benefit from its rigorous peer-reviewed articles, which are invaluable resources for both academic scholars and finance professionals. The journal’s content typically spans pioneering techniques in econometric modeling, empirical analysis of financial instruments, and innovative applications of econometric theory in real-world scenarios. Operating out of the United Kingdom, the journal continues to serve as a vital platform for disseminating significant research findings from 2005 to 2024, ensuring that the latest advancements in the field are accessible to its audience.

Statistical Methods and Applications

Unveiling robust methodologies for real-world impact.
Publisher: SPRINGER HEIDELBERGISSN: 1618-2510Frequency: 5 issues/year

Statistical Methods and Applications is a leading journal published by SPRINGER HEIDELBERG, dedicated to advancing the field of statistics and its applications in various domains. With an ISSN of 1618-2510 and an E-ISSN of 1613-981X, this journal serves as a vital resource for researchers and professionals looking to explore innovative statistical methodologies and their practical implications. The journal has demonstrated a notable influence within the scholarly community, ranked Q3 in both Statistics and Probability and Statistics, Probability and Uncertainty categories as of 2023. Covering a scope that spans from its inception in 1996 to the present, Statistical Methods and Applications provides robust platforms for empirical studies, theoretical advancements, and applied statistics. Although currently not open access, the journal is well-regarded for its rigorous peer-review process and commitment to high-quality research, making it an essential read for anyone dedicated to enhancing their statistical knowledge and expertise.

Brazilian Journal of Probability and Statistics

Catalyzing Discoveries in Probability and Statistical Theory
Publisher: BRAZILIAN STATISTICAL ASSOCIATIONISSN: 0103-0752Frequency: 3 issues/year

The Brazilian Journal of Probability and Statistics, published by the Brazilian Statistical Association, stands as a pivotal platform for researchers and practitioners in the realms of probability and statistics. With an ISSN of 0103-0752, this esteemed journal has contributed significantly to the advancement of statistical theory and its applications since its inception. The journal is currently indexed in Scopus, holding a rank of #175 in the Statistics and Probability category and a third quartile (Q3) designation as of 2023, indicating its steady impact within the field. Covering a broad scope of topics, from theoretical advancements to practical applications, it invites submissions that enhance understanding and fosters discussion among academics and professionals alike. The journal is based in São Paulo, Brazil, and operates without open access, ensuring a quality review process that adheres to the highest scholarly standards. Researchers, professionals, and students interested in the latest findings and innovative methodologies in statistics are encouraged to engage with the Brazilian Journal of Probability and Statistics, a vital resource at the intersection of theory and practice.

Econometric Reviews

Pioneering Research at the Intersection of Economics and Data
Publisher: TAYLOR & FRANCIS INCISSN: 0747-4938Frequency: 10 issues/year

Econometric Reviews, published by Taylor & Francis Inc, is a premier journal in the field of Economics and Econometrics, recognized for its significant contributions to the advancement of economic theory and practice since its inception. With its ISSN 0747-4938 and E-ISSN 1532-4168, the journal has maintained a consistent publication record from 1982 to 2024, offering a platform for groundbreaking research that shapes the landscape of quantitative economic analysis. With a proud place in the Q1 category for Economics and Econometrics as of 2023, it stands as a critical resource for scholars, practitioners, and students alike, actively engaging with themes such as econometric methods, theory, and policy implications. Although operating under a subscription model, the journal’s high impact factor reflects its esteem within the academic community, fostering a rich dialogue among researchers in this evolving discipline. The journal’s office is located at 530 Walnut Street, Ste 850, Philadelphia, PA 19106, USA, forging connections in one of the central hubs of economic research.

Stats

Connecting minds in the world of statistics and probability.
Publisher: MDPIISSN: Frequency:

Stats, published by MDPI, serves as an invaluable open access platform dedicated to the fields of statistics and probability. Since its inception in 2018, the journal has been committed to disseminating high-quality research and promoting innovation in statistical methodologies through a rigorous peer-review process. Operating from Basel, Switzerland, Stats offers a global reach and aims to foster collaboration among researchers, professionals, and graduate students alike. With an impact factor indicating its emerging significance, the journal resides in the Q4 quartile of the statistics and probability category for 2023 according to Scopus rankings. This positions it within the evolving landscape of statistical research, enhancing its visibility and accessibility. Researchers are encouraged to contribute to this dynamic field and benefit from the journal's dedication to open access publishing, ensuring that research findings can reach a broad audience without barriers.

ANNALS OF STATISTICS

Unveiling New Horizons in Statistical Theory and Practice
Publisher: INST MATHEMATICAL STATISTICS-IMSISSN: 0090-5364Frequency: 6 issues/year

ANNALS OF STATISTICS, published by the Institute of Mathematical Statistics (IMS), stands as a premier journal in the field of statistical science, particularly recognized for its rigorous peer-reviewed articles and innovative contributions. With an impressive impact factor and categorized in the Q1 quartile for both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, this journal is a vital resource for researchers, professionals, and students alike. Covering a comprehensive array of statistical theories and methodologies from 1996 to 2024, it aims to foster the advancement of mathematical statistics while addressing contemporary challenges in data analysis and interpretation. The journal, operating without an Open Access model, remains a key platform for disseminating high-quality research, evident from its commendable Scopus rankings of Rank #9 out of 278 in Statistics and Probability and Rank #9 out of 168 in Decision Sciences. Located in Cleveland, Ohio, the ANNALS OF STATISTICS is not just a journal but a beacon of knowledge that continues to influence statistical practices globally.

Statistical Analysis and Data Mining

Exploring the Intersection of Statistics and Data Mining
Publisher: WILEYISSN: 1932-1864Frequency: 6 issues/year

Statistical Analysis and Data Mining is a leading journal published by WILEY, dedicated to exploring the latest advancements in statistical methods and data mining techniques. With an ISSN of 1932-1864 and an E-ISSN of 1932-1872, this journal serves as a significant platform for researchers and professionals in statistical analysis, computer science applications, and information systems. Covering a wide range of topics from innovative analytical methodologies to emerging data mining algorithms, the journal aims to disseminate high-quality research that contributes to the evolving landscape of data science. Ranked in the Q2 category for the fields of Analysis, Computer Science Applications, and Information Systems in 2023, it emphasizes its relevance and impact within academia. While it offers limited Open Access options, the insights shared in this publication are integral for those wishing to stay ahead in fast-paced research and data-driven industries. Since its inception in 2008 and continuing through 2024, Statistical Analysis and Data Mining invites submissions that reflect rigorous empirical research coupled with practical implications, making it a vital resource for the academic community.

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Connecting researchers to the latest in statistical innovation.
Publisher: TAYLOR & FRANCIS INCISSN: 1061-8600Frequency: 4 issues/year

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS is a premier academic publication dedicated to advancing the fields of computational statistics and graphical data representation. Published by Taylor & Francis Inc, this journal stands out with its impressive Q1 rankings in Discrete Mathematics and Combinatorics, Statistics and Probability, and Statistics, Probability and Uncertainty, reflecting its high impact and relevance in contemporary research. Since its inception in 1992, the journal has been a vital resource for researchers, professionals, and students alike, with its rigorous peer-reviewed articles contributing significantly to the science of data analysis and visualization. With a Scopus ranking placing it within the top tiers of its category, the journal is committed to disseminating high-quality research that promotes innovation and methodological advancement. Note that the journal currently follows a traditional subscription model, ensuring focused and curated content for its readers. As it approaches the horizon of 2024, the JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS continues to foster scholarly discourse and discoveries, making it an essential platform for anyone involved in statistics and data science.