Journal of Social and Economic Statistics

The Journal of Social and Economic Statistics (JSES) is an electronic open access journal that aims to publish original papers that make interesting and novel contributions to statistical theory and its applications to real life problems. Publication language is English. Our journal can be found online at:

https://reference-global.com/journal/JSES  

JSES (eISSN: 2285-388X) is a free of charge journal managed by the Department of Statistics and Econometrics of the Bucharest Academy of Economic Studies. No payment is required for submitting a paper, and no APCs are levied for published articles.

The journal accepts continuous submissions. Two issues are published per year.

As information is increasingly gaining prominence in today’s globalised society, statistical methods represent a tool of constant interest and usage. There is a multitude of issues which deserve to be studied theoretically and empirically, which are useful for researchers, managers and policy makers alike.

To gain a more comprehensive and deeper understanding on how statistical methods can be conceptualized and understood, the Journal of Social and Economic Statistics aims to present new research on the theory and practice of statistics.

The goal of JSES is to bring together articles which contribute new research ideas in all areas of statistical science, the latest theoretical and applied research in statistics. JSES calls for contributions on how statistical methods can be conceptualized, developed and applied in social and economic practical settings. We welcome empirical papers, especially papers addressing insights from case study research, which can contribute to advancing our knowledge in this important area.

The journal publishes in the following areas of research:

• Applied Statistics in Social Science
• Econometrics applied in micro or macroeconomics
• Quantitative Finance and Banking
• Labour and Demographic Economics
• Business Administration and Business Economics
• Economic development, innovation and growth
• Regional economics, spatial data analysis
• Data Science
• Decision analysis and decision techniques
• Modelling and simulation
• Official Statistics

Theoretical, methodological and/or empirical research papers in the mentioned areas of research are invited. All articles submitted should consider a quantitative approach, using methods and models from Statistics, Econometrics, Data Science, etc.