Retirement Systems, Demography, Happiness and Welfare Redistribution
AbstractThis research investigates whether an equity improvement within retirement-systems domain may positively influence demography, people’s happiness and their financial conditions. In particular, a fertility-boosting policy has been tested, acting on the contributory rate. This project has been carried out by using software simulation and with specific Agent-based Computational Economics (ACE) methodology. Two virtual worlds have been created, in order to try to reproduce Italian society. In the first model, (W1), vertical equity has been improved, while in the second one, (W2), it is has not. Five further variants of these two worlds have been produced by altering some parameters, in order to test our hypothesis through several simulations. The research outcomes prove that an equity improvement can positively influence demographic trends, can increase the level of happiness in the society, and can grant a more homogeneous welfare redistribution.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia in its series CEEL Working Papers with number 0808.
Date of creation: 2008
Date of revision:
Retirement systems; demography; happiness; wealth distribution; equity; software simulation; Agent Based Computational Economics;
This paper has been announced in the following NEP Reports:
- NEP-AGE-2008-09-29 (Economics of Ageing)
- NEP-ALL-2008-09-29 (All new papers)
- NEP-CMP-2008-09-29 (Computational Economics)
- NEP-HAP-2008-09-29 (Economics of Happiness)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Leigh Tesfatsion, 2006.
"Agent-Based Computational Economics: A Constructive Approach to Economic Theory,"
Computing in Economics and Finance 2006
527, Society for Computational Economics.
- Tesfatsion, Leigh, 2006. "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 16, pages 831-880 Elsevier.
- Tesfatsion, Leigh, 2006. "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," Staff General Research Papers 12514, Iowa State University, Department of Economics.
- Daniel Kahneman & Alan B. Krueger, 2006. "Developments in the Measurement of Subjective Well-Being," Journal of Economic Perspectives, American Economic Association, vol. 20(1), pages 3-24, Winter.
- Sendhil Mullainathan & Richard H. Thaler, 2000. "Behavioral Economics," NBER Working Papers 7948, National Bureau of Economic Research, Inc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Marco Tecilla).
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.