A Harris-Todaro Agent-Based Model to Rural-Urban Migration
Aquino L. Espindola, Jaylson J. Silveira, T. J. P. Penna
Abstract
The Harris-Todaro model of the rural-urban migration process is revisited under an agent-based approach. The migration of the workers is interpreted as a process of social learning by imitation, formalized by a computational model. By simulating this model, we observe a transitional dynamics with continuous growth of the urban fraction of overall population toward an equilibrium. Such an equilibrium is characterized by stabilization of rural-urban expected wages differential (generalized Harris-Todaro equilibrium condition), urban concentration and urban unemployment. These classic results obtained originally by Harris and Todaro are emergent properties of our model.
Create a lesson
Related papers
Is higher-order physics different?
Pablo Villegas, Sandro Meloni
The dynamics of early transoceanic voyages: A resource-coupled model of crew health and survival
Nuno Crokidakis
When higher-order interactions matter: reducibility, parsimony, and microscopic organization
Alex Arenas, Federico Battiston, Andrea Gabrielli
Geography as the Organizing Grammar of Geospatial Models
Rajiv Ranjan, Shashank Tamaskar
Towards stratified sampling for redistricting plans
Zijian Wang, Gregory J. Herschlag, Joon-Hyeok Yim et al.
BanglaShop-CRS: A User-Centric Bangla Dataset for Conversational Recommendation
Tabia Tanzin Prama, Christopher M. Danforth, Peter Sheridan Dodds