From COVID-19 to Resilience: Quantitative Methods in Economics and Business

Dear Colleagues,

The COVID-19 pandemic represents a particularly important challenge for empirical research in economics and finance. The “resilience” category is often used in international documents concerning crisis management. The category of resilience enters numerous, usually overly complex interactions with many important socio-economic and public categories, important for various spheres of the economy, politics, and life of citizens. The aim of the Special Issue is to explore quantitative methods of measuring resilience, in the context of the COVID-19 pandemic. The measurement and assessment of resilience at different levels requires advanced quantitative and qualitative methods that are based on dynamic approaches and interaction with other socio-economic categories, which, consequently, makes it exceedingly difficult to develop public policies that are oriented towards strengthening resilience in general. A good example is the integrated measurement and assessment of economic and financial resilience of households by international organisations. There is a possible conflict in macro and micro approaches, which can be greatly beneficial at the application level to check the consistency of assumptions, approaches, and conclusions. In the context of public policy, the concept of resilience enables a more in-depth understanding of how economic entities cope with shocks and tensions.

This Special Issue aims at collecting original research papers, comprehensive reviews on the theory and practice on development and implementation of advanced mathematical and instrumental methods in the field of assessing resilience in various economic and business sectors. Applied quantitative methods will allow a better understanding of the interactions between economic and business socio-economic activities, and will contribute to the development of new models or the improvement of existing ones. These methods can be based on traditional modelling and forecasting tools, as well as on the new tools associated with the development of intelligent digital technologies, big data use, and so on.

Dr. Lina Novickytė
Dr. Jolanta Droždz
Prof. Dr. Radosław Pastusiak
Dr. Michał Soliwoda
Guest Editors

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