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The overall objective of the present research is to examine the influence of information technology components on the export-to-GDP ratio, especially focused on the changes caused by the events of the 20th century for Southeast European countries (SEC). The motivation for selecting these countries is to evaluate whether they have achieved a sufficient level to adapt digital developments. To overcome these challenges, the study uses a hybrid technique, employing random-effects (RE) and fixed-effects (FE) regression and Arellano-Bond estimations on panel data gathered from 13 countries from 2006 to 2021. The results confirm that fixed broadband subscriptions (FBS), gross formation capital (GFC) and official exchange rate (ORE), have a strong positive effect on the export-to-GDP ratio. Additionally, fixed telephone subscriptions (FTS), foreign direct investments (FDI) and inflation (INF) have a significant negative impact on the export-to-GDP ratio. The Arellano-Bond technique reveals that FBS, INF and ORE have a positive effect on exports, whereas FTS, GFC and FDI have a negative effect. The novelty of this research is that it uses data comparisons that are not related to a single determinant in the economy but are conditioned to advancement, especially concerning global markets and the exploitation of gaps created by changes in supply chains. Implications for Central European audience: Depending on the research results, it is anticipated that the policy-making structures and other regulatory authorities will create a clear overview of the importance of digitization and its dynamics in the realization of exports and the mitigation of the trade deficit. These discoveries will encourage the highly empowered actors to redesign the policies that will affect the expansion and increase of the quality of the infrastructure of broadband and telephone subscriptions. By expanding and increasing the quality of the economic structure of the respective countries, they will be able to maximize the progress of the export value, which is one of the main goals of almost every country included in the analysis. [ABSTRACT FROM AUTHOR]

Presents an algorithm for the production of a graphical diagram from a matrix formula in such a way that its components are logically and hierarchically arranged. The algorithm, which relies on the matrix equations of J. McArdle and R. McDonald (1984), calculates the individual path components of expected covariance between variables and recognizes feedback loops. (SLD)

The many methodological contributions of Raymond B. Cattell to multivariate analysis are discussed in terms of contemporary issues in structural equation modeling. His factor analytic approach is compared with current modeling practices. A critical evaluation finds much of Cattell's work still innovative, technically advanced, and valuable to contemporary model builders. (Author/BS)

Uses structural equation modeling to combine traditional ideas from repeated-measures ANOVA with some traditional ideas from longitudinal factor analysis. The model describes a latent growth curve model that permits the estimation of parameters representing individual and group dynamics. (Author/RH)