Abstract
Reconstruction of the Ukrainian economy will require a plan, financing and management of the funds distribution process. The binary logit model of economic growth for the Ukrainian economy is proposed in the investigation. The independent variables of the model are the volume of capital investments, capital accumulation, final consumer spending of households, producer price index and export of goods and services of Ukraine. In general, it is possible to conclude about the good quality of the logit model, which means that it is quite possible to predict the probability of the economic development of Ukraine in a certain quarter with the available values of independent variables. Such forecasting is especially relevant due the fact that full-scale hostilities are currently taking place in Ukraine, which make it impossible for a significant number of enterprises to operate. In addition, a significant drop in demand for goods and services is expected in 2022, due to which the fact that the Ukrainian economy is entering a state of crisis is obvious. The logistic regression model of Ukrainian economic development can be used in modeling its recovery to pre-crisis times.
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Zomchak, L., Starchevska, I. (2023). Macroeconomic Determinants of Economic Development and Growth in Ukraine: Logistic Regression Analysis. In: Hu, Z., Wang, Y., He, M. (eds) Advances in Intelligent Systems, Computer Science and Digital Economics IV. CSDEIS 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 158. Springer, Cham. https://doi.org/10.1007/978-3-031-24475-9_31
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