Panelová regresní analýza e-Commerce

Abstract

The first post-Covidian year of 2022, influenced by the war conflict and the energy crisis, was a year of declines, consolidations, assortment expansion and growth in sales of low-energy goods for Czech e-Commerce. It has brought with it significant changes in consumer perceptions, which are likely to disrupt the trend of its development so far, which is the subject of this thesis. More specifically, the aim of this thesis is to map the current state of the e-Commerce sector in the Czech Republic and, using classical and panel regression analysis, to assess the extent to which individual firms operating in this sector can be used to estimate the development of the sector as a whole. The four most turnover-rich online firms in the Czech Republic are used to represent the sector. In the context of achieving the objective, linear regression models are first created for each of the firms. Then, a panel regression model of the whole e-Commerce is created using the random effects method. Subsequently, the linear models of each firm are compared with the panel regression model of the whole industry. In this comparison, it is shown that estimating the evolution of the e-Commerce industry cannot be approached solely on the basis of the evolution of individual firms, but must be approached in the context of the entire industry.