دوره 1، شماره 2 - ( 2-1395 )                   جلد 1 شماره 2 صفحات 21-48 | برگشت به فهرست نسخه ها

XML English Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Hamidi Alamdari S, Khalizadeh H, Zayer A. Forecasting the Iranian Tax Revenues: Application of Nonlinear Models. 3. 2016; 1 (2) :21-48
URL: http://jiems.khu.ac.ir/article-1-29-fa.html
Hamidi Alamdari Saeedeh، Khalizadeh Hamid، Zayer Ayat. Forecasting the Iranian Tax Revenues: Application of Nonlinear Models. 1. 1395; 1 (2) :21-48

URL: http://jiems.khu.ac.ir/article-1-29-fa.html


چکیده:   (1151 مشاهده)
Tax is one of the main sources of financing government budget. Therefore, having a clear picture about the attainable amount of taxes are not only necessary for optimal allocation of scarce resources for tax collection, but also helps the government to develop precise tax collection programs .In this article, the structural features of the tax revenues series have first been examined in relation to linearity, chaotic nonlinearity and stochasticity, using Lyapunov Exponent. These series are: total taxes, direct taxes, indirect taxes, corporate taxes, income taxes, salary taxes, real estates taxes, business taxes, wealth taxes, inheritance taxes and goods & services taxes. The results indicated the existence of a chaos in the series of different tax resources with different weakness and severity. Therefore, based on the results it was found that we can do more accurate short-term predictions by applying nonlinear modeling. In the next step, using the data of the period 1963-2006,the tax revenues of different resources were forecasted for the period 2007-2009 by applying both parallel and proposed Multiple-input Multiple-output structures of the ANN’s
متن کامل [PDF 458 kb]   (372 دریافت)    
نوع مطالعه: پژوهشي | موضوع مقاله: عمومى
دریافت: ۱۳۹۵/۶/۱۰ | پذیرش: ۱۳۹۵/۶/۱۳ | انتشار: ۱۳۹۵/۶/۱۳

ارسال نظر درباره این مقاله : نام کاربری یا پست الکترونیک شما:
CAPTCHA

کلیه حقوق این وب سایت متعلق به فصلنامه بین المللی مطالعات اقتصاد و مدیریت می باشد.

طراحی و برنامه نویسی : یکتاوب افزار شرق

© 2019 All Rights Reserved | International Journal of Economics and Management Studies

Designed & Developed by : Yektaweb