Ekonometria

Aims & Scope

The journal promotes both the theoretical development of mathematical, statistical, and econometric methods and their practical applications. It focuses on presenting new methods and refining well-established ones, as well as on their application in economics, business, and the social sciences, broadly understood. The journal publishes original scientific articles that have not been previously published in other scholarly journals. Submitted manuscripts undergo editorial assessment and double-blind peer review. The subject area of the published articles covers theoretical and practical aspects of the methods of econometrics, statistics, and mathematics. Their applications concern wider economic issues, including macro- and microeconomic analyses, statistical and econometric analysis, data analysis and modelling, as well as capital investment and insurance problems. Social and demographic analyses deal with the issues of education, employment and unemployment, poverty, sustainable development, and social exclusion. The papers appearing in the journal are an inspiration to undertake new research challenges. The journal aims to publish high-quality research that contributes to the development and application of econometric, statistical, and quantitative methods. We particularly encourage the publication of papers that present groundbreaking topics and solutions. Authors have the possibility to attach supplementary data and result files that could not be included in the article itself. International reach and promotion of Polish research The journal publishes exclusively in English to maximise the international impact of the research it disseminates. At the same time, a substantial share of the published work originates from Polish academic institutions and addresses economic, social, and methodological questions of direct relevance to Poland and international economy. In this way, the journal serves as a bridge between Polish scientific thought and the global research community, contributing to the international visibility and recognition of Polish scholarship in econometrics, statistics, and applied data analysis.

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Subject Classification