Estimation of Seigniorage Laffer curve in IRAN: A Fuzzy C-Means Clustering Framework
نویسندگان
چکیده مقاله:
There are two sources for governments to raise their revenues. The first is the direct taxation levied on output, and the second is seigniorage. Seigniorage is also known as printing new money and is defined as the value of real resources acquired by the government through its power of sovereignty on its monopoly of printing money. The purpose of this paper is to examine the Laffer curve for Seigniorage in the economy of Iran through data-set collected from the statistical books of the central bank of Iran related to the time period 1979-2010. For this purpose, we use a methodology that is based on the Fuzzy C-Means algorithm that is widely used in the context of pattern recognition, and the Takagi-Sugeno approach which is proper for modeling fuzzy systems. This methodology is exceptionally flexible and provides a computationally tractable method of dealing with non-linear models in high dimensions. Our findings support a standard Laffer curve shape in Iran. In other words, it will be concluded through empirical results that there is a nonlinear relationship between seigniorage and inflation for the economy of Iran in the time period studied in this paper. JEL Classification: E43, E52, E62
منابع مشابه
OPTIMIZATION OF FUZZY CLUSTERING CRITERIA BY A HYBRID PSO AND FUZZY C-MEANS CLUSTERING ALGORITHM
This paper presents an efficient hybrid method, namely fuzzy particleswarm optimization (FPSO) and fuzzy c-means (FCM) algorithms, to solve the fuzzyclustering problem, especially for large sizes. When the problem becomes large, theFCM algorithm may result in uneven distribution of data, making it difficult to findan optimal solution in reasonable amount of time. The PSO algorithm does find ago...
متن کاملA Fuzzy C-means Algorithm for Clustering Fuzzy Data and Its Application in Clustering Incomplete Data
The fuzzy c-means clustering algorithm is a useful tool for clustering; but it is convenient only for crisp complete data. In this article, an enhancement of the algorithm is proposed which is suitable for clustering trapezoidal fuzzy data. A linear ranking function is used to define a distance for trapezoidal fuzzy data. Then, as an application, a method based on the proposed algorithm is pres...
متن کاملAn Estimation of Laffer Curve in Iran: A Non-Linear Approach
Laffer curve indicates relationship between tax rate and tax income. The aim of this paper is estimating of laffer curve in Iranian economy. To do so, we have used threshold regression method. Empirical results indicate that since the tax rate is low (the threshold value is less than 0.0848) in two-regime model, tax rate and tax income have a significant positive relationship, but when the tax ...
متن کاملBilateral Weighted Fuzzy C-Means Clustering
Nowadays, the Fuzzy C-Means method has become one of the most popular clustering methods based on minimization of a criterion function. However, the performance of this clustering algorithm may be significantly degraded in the presence of noise. This paper presents a robust clustering algorithm called Bilateral Weighted Fuzzy CMeans (BWFCM). We used a new objective function that uses some k...
متن کاملADAPTIVE NEURO FUZZY INFERENCE SYSTEM BASED ON FUZZY C–MEANS CLUSTERING ALGORITHM, A TECHNIQUE FOR ESTIMATION OF TBM PENETRATION RATE
The tunnel boring machine (TBM) penetration rate estimation is one of the crucial and complex tasks encountered frequently to excavate the mechanical tunnels. Estimating the machine penetration rate may reduce the risks related to high capital costs typical for excavation operation. Thus establishing a relationship between rock properties and TBM pe...
متن کاملoptimization of fuzzy clustering criteria by a hybrid pso and fuzzy c-means clustering algorithm
this paper presents an efficient hybrid method, namely fuzzy particleswarm optimization (fpso) and fuzzy c-means (fcm) algorithms, to solve the fuzzyclustering problem, especially for large sizes. when the problem becomes large, thefcm algorithm may result in uneven distribution of data, making it difficult to findan optimal solution in reasonable amount of time. the pso algorithm does find ago...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ذخیره در منابع من قبلا به منابع من ذحیره شده{@ msg_add @}
عنوان ژورنال
دوره 9 شماره 1
صفحات 93- 115
تاریخ انتشار 2014-10
با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023