APPLICATION OF MARKOV'S CHAIN MODEL TO PROVIDE THE APPROPRIATE POLICY OF TAX DISCOUNT WITH DYNAMIC PROGRAMMING APPROACH

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MOHAMMADI ALI; RAJABI AHMAD

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Journal: Management Research in Iran Year:2012 | Volume:16 | Issue:1 (74) Page(s): 107-129

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Title

APPLICATION OF MARKOV'S CHAIN MODEL TO PROVIDE THE APPROPRIATE POLICY OF TAX DISCOUNT WITH DYNAMIC PROGRAMMING APPROACH

Author(s)

MOHAMMADI ALI | RAJABI AHMAD | Issue Writer Certificate

Keywords

MARKOV'S CHAINS METHODQ2

TRANSITION PERIODQ2

TAX DISCOUNTQ2

DYNAMIC PROGRAMMINGQ2

TAX CURRANT VALUEQ2

Abstract

Since, at the present time, one of the major revenues of the government are from taxes, realizing the amount of tax revenues and making proper decisions of policies to enhance likely the earnings in proper times with considering the current value tax are very important. According to the Markov's chain method capabilities in understanding the possible random processes and DYNAMIC PROGRAMMING methods, in this article, combination of these two methods with using information from income tax firms in the country in 2005-2009 was used to represent a suitable pattern for discount in tax policy. The results showed that with 2% discount to customers the tax received proceeded to 3606 billion Rials. As the process of tax revenues is also a TRANSITION PERIOD, paying taxes during the 12-month-period and the discount based on the current value of tax were taking into consideration. The current value of future tax-cash flows during this period was equivalent to 16, 034 billion Rials. Finally, using DYNAMIC PROGRAMMING, the break event point of TAX DISCOUNT index was determined. Accordingly, in this manner, if the value of discount was less than 22%, the optimal policy for the government to increase the value of the received tax would be not to give discount to the customers, and if the discount factor was over 22%, the favorable government policy would be to provide discount to the customers.

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APA: Copy

MOHAMMADI, ALI, & RAJABI, AHMAD. (2012). APPLICATION OF MARKOV'S CHAIN MODEL TO PROVIDE THE APPROPRIATE POLICY OF TAX DISCOUNT WITH DYNAMIC PROGRAMMING APPROACH. MANAGEMENT RESEARCH IN IRAN (MODARES HUMAN SCIENCES), 16(1 (74)), 107-129. SID. https://sid.ir/paper/404783/en

Vancouver: Copy

MOHAMMADI ALI, RAJABI AHMAD. APPLICATION OF MARKOV'S CHAIN MODEL TO PROVIDE THE APPROPRIATE POLICY OF TAX DISCOUNT WITH DYNAMIC PROGRAMMING APPROACH. MANAGEMENT RESEARCH IN IRAN (MODARES HUMAN SCIENCES)[Internet]. 2012;16(1 (74)):107-129. Available from: https://sid.ir/paper/404783/en

IEEE: Copy

ALI MOHAMMADI, and AHMAD RAJABI, “APPLICATION OF MARKOV'S CHAIN MODEL TO PROVIDE THE APPROPRIATE POLICY OF TAX DISCOUNT WITH DYNAMIC PROGRAMMING APPROACH,” MANAGEMENT RESEARCH IN IRAN (MODARES HUMAN SCIENCES), vol. 16, no. 1 (74), pp. 107–129, 2012, [Online]. Available: https://sid.ir/paper/404783/en

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