FORECASTING THE NUMBER OF TRANSACTIONS ON INSURING EMPLOYMENT LOSS TAKING INTO ACCOUNT SPATIAL SEGMENTATION OF THE INSURANCE MARKET // BSU bulletin. Economy and Management. - 2024. №4. . - С. 134-141.

FORECASTING THE NUMBER OF TRANSACTIONS ON INSURING EMPLOYMENT LOSS TAKING INTO ACCOUNT SPATIAL SEGMENTATION OF THE INSURANCE MARKET

DOI: 10.18101/2304-4446-2024-4-134-141 UDK: 368.8

The article is a continuation of the previously started study devoted to the issues of forecasting the demand for employment loss insurance. However, if the subject of the first part of the study was the national insurance market as a whole, then the subject of the second part is its territorial segments determined by the boundaries of federal districts. We prove the differences in the strength, vector and degree of influence of the same factors on the consumer activity of the population in financial risk insurance sector depending on the location of private households with their inherent socio-economic characteristics and parameters, which should be taken into account when forecasting the number of effected insurance policies. The use of econometric methods allowed us to obtain estimation equations for forecasting the number of transactions in employment loss insurance segment for each federal district and several factor models developed according to the principle of a common feature used in factor selection. We have concluded that it is necessary to identify other, private, factors in the territorial segments of the insurance market that can influence decisions on effecting insurance policies ― most likely, these will be behavioral factors that are quite difficult to predict.

The article is a continuation of the previously started study devoted to the issues of forecasting the demand for employment loss insurance. However, if the subject of the first part of the study was the national insurance market as a whole, then the subject of the second part is its territorial segments determined by the boundaries of federal districts. We prove the differences in the strength, vector and degree of influence of the same factors on the consumer activity of the population in financial risk insurance sector depending on the location of private households with their inherent socio-economic characteristics and parameters, which should be taken into account when forecasting the number of effected insurance policies. The use of econometric methods allowed us to obtain estimation equations for forecasting the number of transactions in employment loss insurance segment for each federal district and several factor models developed according to the principle of a common feature used in factor selection. We have concluded that it is necessary to identify other, private, factors in the territorial segments of the insurance market that can influence decisions on effecting insurance policies ― most likely, these will be behavioral factors that are quite difficult to predict.