IDEAS home Printed from https://ideas.repec.org/a/ris/qjatoe/0159.html
   My bibliography  Save this article

A Comparative Study of the Efficiency of Ponzi Vs. No-Ponzi Economic System Based on Agent-Based Modeling

Author

Listed:
  • Javidi Abdollahzadeh Aval, Narges

    (PhD Student in Economics, University of Tabriz)

  • Assad Zadeh, Ahmad

    (Associate Professor of Economics, University of Tabriz)

  • Shahmorad, Sedaghat

    (Professor of Applied Mathematics, University of Tabriz)

Abstract

One of the main concerns of economic scholars and thinkers is to predict the behavior of individuals in an economic system. Although economists often use complex mathematical equations for economic analysis, in recent decades due to the weakness of forecasting analyses based on equations and inability of such equations to justify empirical events, economists have used modeling and simulation methods. In other words, they are looking for ways to justify complex phenomena in the economy as a complex system. In addition to applying complexity theory, this research attempts to introduce a research tool to scholars for the simulation of agent-based research. In this study, we will examine the efficiency of each system by developing an agent-based model based on a No-Ponzi economic system and comparing it with a Ponzi economic model. We will also examine the effects and consequences of some economic behaviors that are contrary to the ethics and teachings of Islam. Comparing the two models, the results indicate that the No-Ponzi model has a better human development index and more social welfare.

Suggested Citation

  • Javidi Abdollahzadeh Aval, Narges & Assad Zadeh, Ahmad & Shahmorad, Sedaghat, 2019. "A Comparative Study of the Efficiency of Ponzi Vs. No-Ponzi Economic System Based on Agent-Based Modeling," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, vol. 6(3), pages 73-102, October.
  • Handle: RePEc:ris:qjatoe:0159
    as

    Download full text from publisher

    File URL: https://ecoj.tabrizu.ac.ir/article_9360_6d717328b4cf2fb9221e5afc5560b731.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Agent-based modeling; Islamic economics; Wealth distribution; Gini coefficient; Consumption; Saving; Wealth;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:qjatoe:0159. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sakineh Sojoodi (email available below). General contact details of provider: https://edirc.repec.org/data/fetabir.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.