Network Effects in a Human Capital Based Economic Growth Model
We revisit a recently introduced agent model [ACS, 11, 99 (2008)], where economic growth is a consequence of education (human capital formation) and innovation, and investigate the influence of the agents’ social network, both on an agent’s decision to pursue education and on the output of new ideas. Regular and random networks are considered. The results are compared with the predictions of a mean field (representative agent) model.
(This abstract was borrowed from another version of this item.)
|Date of creation:||Sep 2008|
|Contact details of provider:|| Postal: Department of Economics, ISEG - School of Economics and Management, University of Lisbon, Rua do Quelhas 6, 1200-781 LISBON, PORTUGAL|
Web page: https://aquila1.iseg.ulisboa.pt/aquila/departamentos/EC
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- Tanya Araújo & Miguel St. Aubyn, 2008.
"Education, Neighborhood Effects And Growth: An Agent-Based Model Approach,"
Advances in Complex Systems (ACS),
World Scientific Publishing Co. Pte. Ltd., vol. 11(01), pages 99-117.
- Tanya Araújo & Miguel St. Aubyn, 2005. "Education, Neighbourhood Effects and Growth: An Agent Based Model Approach," Working Papers Department of Economics 2005/10, ISEG - School of Economics and Management, Department of Economics, University of Lisbon.
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- Silverberg, Gerald & Verspagen, Bart, 1994. "Collective Learning, Innovation and Growth in a Boundedly Rational, Evolutionary World," Journal of Evolutionary Economics, Springer, vol. 4(3), pages 207-226, September.
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