Title :
Forecasting of tax receivings using adaptive Kalman filtration
Author :
Abdenova, G. ; Snisarenko, A.
Author_Institution :
Novosibirsk State Tech. Univ., Russia
Abstract :
Tax receiving forecasting is widely used to reduce money transfers between regions and federal center in Russia. The more precise forecast is the less money has to be transferred. Adaptive Kalman filtration together with state space representation of receivings is used for forecasting of tax receivings. Calculation algorithm is provided.
Keywords :
adaptive Kalman filters; forecasting theory; state-space methods; taxation; Russia; adaptive Kalman filtration; money transfers; state space representation; tax receivings forecasting;
Conference_Titel :
Science and Technology, 2003. Proceedings KORUS 2003. The 7th Korea-Russia International Symposium on
Print_ISBN :
89-7868-617-6
