SOCIO-ECONOMIC CONSEQUENCES OF PRICING LIBERALIZATION IN THE WHOLESALE MARKET OF ELECTRIC ENERGY AND CAPACITY IN THE NORTH CAUCASIAN FEDERAL DISTRICT
The study uses a statistical regression analysis methodology to assess the impact of liberalization on expected outcomes. First, for the period 2016-2021. input parameters are selected to represent the driving variables for the expected outcomes (outputs). Regression analysis is then performed to generate appropriate models that match the output data with statistically significant input data. The resulting regression models are then extended to include liberalization as a control variable to estimate the impact of liberalization over the period 2016-2021. Since the analyzed period is 2015-2020. is a specific period of market liberalization, the results, analysis and policy recommendations may have implications for the North Caucasus Federal District, which is liberalizing its electricity market.