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.

JSES is a publication of the Department of Statistics and Econometrics of the Bucharest Academy of Economic Studies.

The journal is published two times a year (Summer and Winter issues).

The Journal is indexed in the following databases: EBSCO, RePEc, and ERIHPLUS.

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.

Theoretical, methodological and/or empirical research papers in any sector of the economy and society, qualitative and quantitative studies, as well as conceptual approaches are invited. Suitable topics include but are not limited to:

• Theoretical, applied, computational or conceptual papers related to statistics and econometrics
• Modelling and simulation
• Studies that focus on how statistical methods can be employed to investigate microeconomic, macroeconomic, forecasting, business, and finance related topics
• Decision analysis and decision techniques
• Research methods