Jose Lobo

TL;DR: A "technology landscape" is introduced into an otherwise standard dynamic programming setting where the optimal strategy is to assign a reservation price to each possible technology, and it is found that early in the search for technological improvements, if the inital position is poor or average, it is optimal to search far away on the technology landscape; but as the firm succeeds in finding technological improvements it is ideal to confine search to a local region of the landscape.

TL;DR: A novel agent-based model of spatio-temporal search and agglomeration is developed to investigate the dynamics of cell motility and aggregation with the assumption that tumors behave as complex dynamic self-organizing biosystems.

TL;DR: In this paper, a microeconomic model of shop floor learning by doing is presented, and the authors simulate the dynamics of the model and report the effects of changes in the basic parameters on the resulting engineering experience curves.

TL;DR: In this article, a microeconomic model of shop floor learning by doing is presented, and the authors simulate the dynamics of the model and report the effects of changes in the basic parameters on the resulting engineering experience curves.

TL;DR: In this article, the authors devise a simple test for the income β-convergence hypothesis which does not suffer from Galton's fallacy and apply it to all of the metropolitan areas of the United States for the period 1969-1995.