Advanced Search
MyIDEAS: Login

Growth versus Equality in Agent-Based Macro Models

Contents:

Author Info

  • Charlotte Bruun

Abstract

Is a fair degree of equality among economic agents with respect to income and wealth compatible with an optimal level of economic growth - or does initiatives promoting equality restrain growth, or in the opposite, does initiatives promoting growth restrain equality? These are questions that have engaged economists of both theoretical and empirical orientation, and, it is argued here, questions that should also engage agent-based simulators. Whereas recent growth theories are less fit for studying questions of dispersion between agents, agent-based models are capable of handling dispersional aspect, and thus equality, as well as handling the macrolevel, and thus growth. The question is truly a question for which no well- established answer exists. Theoretical economists have long argued that equality and efficiency are contradictory, but empirical tests have shown a positive correlation between growth and equality (eg. Alesina and Rodrik (1994) and Persson and Tabellini (1994)). A recent agent-based computational study (Bruun and Luna (2000)) show both answers to be true for a virtual economy. Whereas GDP and the Gini coefficient for wealth distribution has a positive correlation throughout the business cycles generated by the model, the long run correlation is negative. The purpose of this paper is to study this result more carefully and investigate the robustness of the result. The Bruun/Luna model was not designed specifically for the study of equality but got the contradictory correlation in the long and short run respectively, as a by-product in a model focusing on growth as a result of learning processes in the supply side of the economy. As is the case in real world economies, causalities in agent-based models are not always transparent, and it takes both statistical testing of model output and experiments within the model before conclusions can be drawn. Besides this work, we shall look for similar results in other agent-based macro models (eg. Bruun(1999)). A. Alesina and D. Rodrik (1994)"Distributive Politics and Economic Growth",bQuarterly Journal of Economics, 109, pp. 465-490. C.Bruun(1999)"Agent-Based Keynesian Economicd: Simulating a Monetary Production System Bottom-Up", working paper, Department of Economics, Politics and Public Administration, Aalborg University, Denmark. C.Bruun and F.Luna(2000), "Endogenous Growth in a Swarm Economy - Fighting Time, Space and Complexity" in "Economic Simulations in Swarm: Agent-Based Modelling and Object Oriented Programming" ed. B y F.Luna and B.Stafansson, Kluwer 2000. T. Persson and G. Tabellini (1994) "Is Inequality Harmful for Growth?", American Economic Review, 84, pp. 600-621.

Download Info

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Bibliographic Info

Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2001 with number 159.

as in new window
Length:
Date of creation: 01 Apr 2001
Date of revision:
Handle: RePEc:sce:scecf1:159

Contact details of provider:
Email:
Web page: http://www.econometricsociety.org/conference/SCE2001/SCE2001.html
More information through EDIRC

Related research

Keywords: agent-based computational economics; macroeconomics;

Find related papers by JEL classification:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:sce:scecf1:159. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum).

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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